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2026 Volume 55 Issue 2  Published: 2026-02-25
    Energy storage materials, devices, and systems
  • Meng LI , Yaxuan XIONG , Jing YAN , Meichao YIN , Yanan SU , Yuting WU , Yulong DING
    doi: 10.19666/j.rlfd.202507130
    [Objective]

    To fully dig the enormous potential of carbide slag and corn cob in resource utilization, thus to meet the demands of colid waste recycling and low-carbon energy storage.

    [Methods]

    A novel composite phasechange thermal energy storage material was prepared using industrial solid waste carbide slag and agricultural solid waste carbonized corn fiber as the binary skeleton material, and with paraffin as the phase-change medium. The composites were synthesized via vacuum impregnation, and process parameters were optimized.

    [Results]

    The results showed that the material exhibited optimal encapsulation performance at a carbide slag-to-carbonized corn fiber mass ratio of 5:5, maintaining structural stability after 600 thermal cycles. The optimal sample SC-5 achieved melting and solidification latent heats of 34.90 and 36.35 J/g, respectively, with a thermal conductivity of 0.484 W/(m·K), indicating good thermal stability and chemical compatibility. Microstructural analysis revealed that the skeleton materials formed a dense microporous structure, effectively mitigating paraffin leakage. Post-cycling material analysis indicated no new chemical bonds and maintained elemental homogeneity.

    [Conclusion]

    This work provides a novel pathway for synergistic valorization of industrial and agricultural solid wastes, demonstrating significant application potential in building energy conservation, industrial waste heat recovery, and thermal management of electronics.

  • Energy storage materials, devices, and systems
  • Yu YAN , Xuewen YAN , Mingxuan SHAO , Tianle DAI , Tuantuan XIN , Cheng XU
    doi: 10.19666/j.rlfd.202505079

    Using energy analysis and exergy analysis methods, and considering the irreversible losses in the compression, expansion, and heat-exchange processes comprehensively, the performance indicators and irreversible loss distribution characteristics between a basic PTES (BC-PTES) system and an electric heater-integrated PTES (EH-PTES) system under defined operational conditions are compared, and the influence of key parameters on the EH-PTES system’s performance is investigated. The results indicate that both the BC-PTES and EH-PTES systems generate large exergy losses in the turbine during the discharge, with values of 456 kW and 455 kW respectively. The EH-PTES system demonstrates higher round-trip efficiency (41.50%) and energy storage density (54.1 kW·h/m³), with the exergy efficiency of the electric heater at 63%. Parameter analysis reveals that there exists an optimal discharge-phase compressor outlet pressure which can minimize the exergy loss and maximize system round-trip efficiency. For the EH-PTES system, at the optimal discharge pressure, the round-trip efficiency of the EH-PTES system initially decreases and then increases with the rising electric heater outlet temperature, and it increases with the compressor outlet temperature. For example, when the compressor outlet temperature is 550 ℃ and the electric heater outlet temperature increases from 600 ℃ to 1 000 ℃, the EH-PTES system round-trip efficiency decreases from 45.03% to 44.81% at first, and subsequently increases to 45.75%. When the electric heater outlet temperature is 850 ℃ and the compressor outlet temperature increases from 400 ℃ to 550 ℃, the system round-trip efficiency increases from 39.17% to 45.14%. Notably, the round-trip efficiency is less sensitive to the electric heater outlet temperature than to the compressor outlet temperature. By integrating electric heaters, the energy storage density can be substantially enhanced, reaching 113.9 kW·h/m³ at an electric heater outlet temperature of 1 000 ℃. These findings provide critical insights for optimizing the PTES system design.

  • Energy storage materials, devices, and systems
  • Ling LI , Dawei XIA , Buting ZHANG , Changshuang ZHI , Shifei ZHAO
    doi: 10.19666/j.rlfd.202504057

    A Carnot battery system based on coal-fired power units can efficiently absorb curtailed power of new energy while utilizing the existing infrastructure of coal-fired plants for energy release, thereby addressing the challenges posed by high-penetration renewable energy on the power supply-side flexibility. A novel supercritical carbon dioxide reverse Brayton-Rankine cycle Carnot battery system is proposed based on the concept of split-flow expansion, and a comprehensive investigation is conducted through thermodynamic modeling in EBSILON Professional, parameter sensitivity analysis, and multi-objective optimization using genetic algorithms. The results indicate that under design conditions, the turbine power output and waste heat recovery of the novel system are improved by 59.84% and 43.23%, respectively, compared to the reference system. The energy storage cycle achieves a coefficient of performance (COP) of 1.32 and a round-trip efficiency (RTE) of 57.68%, representing an increase of 0.10 in COP and 4.37 percentage points in RTE over the reference system. Both COP and RTE increase with higher pressure ratios, higher flow split ratios, and lower top-end temperature differences in recuperator 2. When the flow split ratio is 0.23, the pressure ratio is 3.09, and the top-end temperature difference in recuperator 2 is 12.60 ℃, the COP of the Carnot battery storage cycle reaches a maximum of 1.37, with a corresponding RTE of 59.87%. The study provides a technical reference for enhancing the operational flexibility of coal-fired power plants and optimizing renewable energy integration through advanced thermal storage technologies.

  • Energy storage materials, devices, and systems
  • Weiguo ZHANG , Chuang WU , Fang LUO , Lihua FAN , Juanli WANG
    doi: 10.19666/j.rlfd.202505092

    Current researches on advanced adiabatic compressed air energy storage (AA-CAES) systems primarily focus on optimizing designs and analyzing performance under off-design conditions based on fixed system structures, with limited attention to system-level optimization involving predefined operational modes. By taking a 300 MW-class asymmetric AA-CAES system featuring four-stage compression and three-stage expansion as the object, a novel variable-pressure (sliding-pressure) operation strategy is proposed, along with a matching design between compression and expansion stages. A quasi-dynamic thermodynamic model is developed to analyze and optimize the full charge-discharge cycle performance under fixed time constraints with sliding-pressure control. The results show that the optimized sliding-pressure mode improves the system’s round-trip efficiency to 73.32%, increases the energy density to 3.404 kW·h/m³, and reduces the required air storage volume to 440 000 m³ (only one-fourth of that under constant-pressure operation). Exergy losses are mainly concentrated in the compressors and turbines, accounting for 40.7% and 29.3% respectively. The isentropic efficiency and heat recovery capability of these components has significant influence on overall performance of the system.

  • Energy storage materials, devices, and systems
  • Junhai WU , Qingying YANG , Junjie LIANG , Xiaoyou LU , Gaochi TAO , Hong LI
    doi: 10.19666/j.rlfd.202503043

    Using molten salt as a heat medium to form a high-temperature molten salt heat exchange system, a set of molten salt heat storage and carbonization device was designed. The structure and rated working conditions of the molten salt-carbonization furnace were designed, and the Nu empirical formula was applied to calculate the composite surface heat transfer coefficient of the molten salt-cylinder wall, and the relevant small-scale carbonization tests were carried out. The results showed that the convective heat transfer coefficient hti of the molten salt in the pipeline was much greater than the convective heat transfer coefficient ho1 of the molten salt heating layer of the carbonization furnace. The theoretical thermal efficiency and the measured thermal efficiency of the biomass carbonization device increased with the carbonization temperature. With the increase in carbonization temperature, decrease in material handling capacity, and extension of carbonization time, the calorific value of the products increased, but the solid energy yield decreased. Compared with rice husks, the organic components of pine wood shavings were more likely to escape into tar and even the vapor phase during the carbonization process. The designed experimental device can realize the carbonization of biomass under the condition of storing molten salt as a heat medium, which achieves the purpose of energy saving and carbon dioxide emission reduction.

  • Energy storage materials, devices, and systems
  • Xindong WANG , Yihong LI , Bo LI , Jian GAO , Junjie WANG
    doi: 10.19666/j.rlfd.202502019

    A stand-alone liquid air energy storage (LAES) system with a water-oil combined heat storage system was constructed, and the effects of compression stages, expansion stages, and heat-storage water temperature on the system’s round-trip efficiency and compression heat utilization were analyzed. The results indicate that increasing the number of compression stages will reduce the round-trip efficiency, and the optimal number of compression stages is two. The optimal number of expansion stages is one more than the number of compression stages. Within the temperature range of 25~65 ℃, increasing the heat-storage water temperature can improve the system’s round-trip efficiency and the utilization degree of compression heat. However, the system efficiency will no longer increase when the temperature of the heat-storage water exceeds 65 ℃. Under optimal conditions, the system with two compression stages, three expansion stages, and a heat-storage water temperature of 65 ℃ has a compression heat surplus ratio of 0.349 and a round-trip efficiency of 0.622. The study provides a theoretical reference for optimizing the compression heat utilization process in LAES systems.

  • Energy storage materials, devices, and systems
  • Xiaoming LI , Haiyan LIAO , Chi ZHANG , Tao DING , Shiwei LIAO , Hongning NI , Jingchun CHU
    doi: 10.19666/j.rlfd.202509020

    The high-temperature and high-pressure steam control valves in steam-heated molten salt thermal energy storage systems have to withstand high temperature, high pressure, and high pressure difference, and require frequent and high-precision adjustments. In view of these design and manufacturing challenges, a steam-heated molten salt thermal energy storage demonstration project was taken as the research object. Focusing on the actual application requirements of high-temperature and high-pressure steam control valves, systematic calculation and analysis were conducted on their flow capacity under different selection working conditions. An innovative technical scheme was proposed, which involves designing different stages of throttling and pressure reduction for different opening ranges of the control valve. This scheme effectively achieves good adaptability of the valve under full working conditions. It can accurately match the regulation requirements of the system in different operation stages, and significantly improves the adjustment accuracy. When the upstream steam flow rate is low, the use of steam-assisted atomizing nozzles is recommended, as they can make the atomized water particles finer, achieve a better atomization effect, reduce thermal shock and thermal stress on the pipeline, and ensure the safety of the device after desuperheating. This study sorts out the key considerations in the selection process of high-temperature and high-pressure steam control valves, which can provide important reference for the selection and design of high-temperature and high-pressure steam control valves in subsequent similar steam-heated molten salt heat storage projects.

  • Energy storage materials, devices, and systems
  • Xiankui WEN , Wei WANG , Shihai ZHANG , Ke ZHOU , Dongping ZENG
    doi: 10.19666/j.rlfd.202510070
    [Objective]

    Against the source-load imbalance caused by daily-scale periodic fluctuations in grid loads, this study investigates performance optimization methods for ejectors within compressed air energy storage (CAES) systems. The aim is to improve the overall efficiency of CAES systems in terms of power generation during energy release, as well as enhance their operational control capabilities during actual operation. In CAES systems, the ejector performs the dual functions of regulating the state parameters of the working gas and introducing low-pressure exhaust gas. This critically affects the system efficiency.

    [Methods]

    By taking a 10 MW-class CAES demonstration system under construction as the research subject, this study combines response surface methodology with Computational Fluid Dynamics (CFD) numerical simulation to analyze the ejector’s entrainment performance under varying working gas pressures, entrainment exhaust gas pressures, and outlet backpressure conditions. This determines the ejector’s efficient operating range. Subsequently, the volume of the storage tank is designed based on the entrainment performance results of the ejector and the variable pressure operating conditions during the energy release process of the CAES system. The power generation capacity of the CAES system is then predicted using a theoretical model.

    [Results]

    The entrainment performance of the ejector is sensitive to variations in the working gas pressure and the entrainment exhaust gas pressure. Optimal entrainment characteristics are achieved when the working gas pressure is between 10.0 and 11.75 MPa, and the entrainment exhaust gas pressure is 5.6 MPa. The outlet back pressure of the ejector significantly affects the structure of the internal flow field and the operational window of the CAES system. Higher back pressure results in a narrower operating pressure range, necessitating larger storage tank volumes and reducing energy release efficiency. When the back pressure is 8.0 MPa, the ejector operates efficiently within a working pressure range of 10.00~12.00 MPa, achieving an energy utilization efficiency rate of 10.46%. A CAES system with a 2.2×103 m3 storage tank can sustain continuous operation at design power for 4.0 hours under a back pressure of 8.0 MPa. Its energy conversion efficiency is 16.67%, with cumulative energy released for power generation reaching 5.01×104 kW·h. This represents a 2.04% improvement on systems without an ejector.

    [Conclusion]

    Defining the high-efficiency operating range of the ejector and rationally configuring the air storage tank volume can effectively enhance the power generation capabilities of the CAES system, providing a foundation for optimizing the system and formulating operational strategies in engineering practice.

  • Peak shaving and frequency regulation technology for energy storage system coupled with thermal power unit
  • Xu HAN , Xuanyu ZHONG , Zhongwen LIU
    doi: 10.19666/j.rlfd.202511015
    [Objective]

    In order to better cope with the impact of the rapid development of new energy on the existing power grid structure and improve the stability and economy of thermal power unit operation, this paper proposes to construct a dual-layer optimization model of fire storage frequency regulation based on real-time power prediction of thermal power units and fuzzy control allocation of energy storage power.

    [Methods]

    The upper layer of the model utilizes frequency deviation decomposition and real-time power prediction of thermal power to optimize the power benchmark, effectively overcoming the response delay of the unit. The lower layer introduces a fuzzy logic control strategy to achieve adaptive and precise power allocation between the thermal unit and the energy storage system. On this basis, multi-objective genetic algorithm is used to optimize the energy storage capacity configuration scheme, and the frequency modulation performance under different control strategies is quantitatively evaluated based on indicators such as system frequency fluctuation. Taking a 600 MW thermal power unit as the research object, the optimal energy storage configuration was obtained through algorithm as follows: flywheel energy storage power of 8.5 MW and capacity of 1.3 MW·h, and lithium battery energy storage power of 3.6 MW and capacity of 14.6 MW·h. The total investment cost corresponding to this configuration is 2.027 7×109 yuan, and the actual income during the 400 s frequency modulation cycle is 850.95 yuan.

    [Results]

    After simulation verification using MATLAB/Simulink, it was found that under step disturbance, the dual layer optimization strategy of fire storage coordination reduces the frequency fluctuation of the system to 4.826×10–2 Hz, which is 38.53% lower than the independent frequency regulation of the fire power unit. The average absolute deviation of power fluctuation is reduced to 4.224 MW, which is 32.57% lower than the independent operation. Under continuous disturbance, the frequency fluctuation of the system decreased by 19.31%, the average absolute deviation of power fluctuation decreased by 78.71%, and the actual contribution of electricity increased by 0.527 MW·h. The results show that the thermal-storage coordinated dual layer optimization control strategy presented in this paper effectively mitigates system frequency and power fluctuations, thereby alleviating the frequency regulation pressure on thermal power units. Concurrently, it enhances the utilization efficiency of the energy storage system and improves the economic viability of frequency regulation services.

    [Conclusion]

    This research thus provides a novel technical direction for the flexible transformation of thermal power plants, enabling them to play a more supportive and complementary role in future power systems dominated by renewable energy sources.

  • Peak shaving and frequency regulation technology for energy storage system coupled with thermal power unit
  • Linfan XU , Pengyue WU , Yun ZHENG , Feng WANG , Jing WANG , Zhen KANG , Hao GUO , Yibin LIN , Xuhua LIU , Zhipeng LI
    doi: 10.19666/j.rlfd.202510015
    [Objective]

    To address the pressing demand for grid frequency stability under high-proportion renewable energy integration and mitigate the slow frequency regulation response of thermal power units, aqueous organic redox flow batteries (AORFBs) have emerged as a viable technical solution for frequency regulation scenarios due to their advantages of long cycle life and low self-discharge rate.

    [Methods]

    A thermal-storage combined AGC frequency regulation technology utilizing AORFBs for energy storage is presented. The fundamental principles of coordinated thermal-storage technology and AORFBs are elaborated, the core performance parameters of flow batteries are tested, a frequency regulation control strategy for AORFBs-assisted thermal power units is proposed, and this approach is applied to the 200 kW/400 kW·h thermal-storage combined frequency regulation demonstration project at Luoyuan Power Plant.

    [Results]

    Operational data and analytical testing demonstrate that AORFBs exhibit rapid regulation and precise output response characteristics, thereby enhancing the frequency regulation capability of the combined system.

    [Conclusion]

    Applying AORFBs to thermal power frequency regulation is feasible.

  • Peak shaving and frequency regulation technology for energy storage system coupled with thermal power unit
  • Chuankun XU , Jie ZHANG , Xingchi MA , Lei LI
    doi: 10.19666/j.rlfd.202506132

    The large-scale integration of renewable energy poses significant challenges to the peak-shaving capacity of coal-fired units. To enhance operational flexibility and address energy flow conflicts in typical coal-fired systems coupled with compressed air energy storage systems during peak shaving, this study investigates a 660 MW coal-fired unit using EBSILON software. Three energy storage schemes and two energy release schemes are proposed and evaluated through thermo-economic analysis, focusing on thermal-time decoupling capability, peak-shaving paradox elimination, and system performance. The results show that during energy storage, the scheme utilizing intermediate-pressure cylinder exhaust for thermal oil heating achieves the highest thermal storage gain ratio (1.370) and the lowest heat rate (8 814.976 kJ/(kW·h)). During energy release, the scheme absorbing heat from No.3 high-pressure heater drain outlet yields the minimum heat rate (7 547.945 kJ/(kW·h)). After 8 hours of operation, the system retains 38.503 MW·h of utilizable thermal energy and reduces the peak-shaving paradox index to –0.041. Parameter optimization improves the round-trip efficiency of the compressed air energy storage system by 2.702 percentage points and increases the unit’s peak-shaving depth by 2.481%. This study provides a viable solution for synergistic optimization of coal-fired units and energy storage systems.

  • Peak shaving and frequency regulation technology for energy storage system coupled with thermal power unit
  • Xuantao DING , Qingwei FAN
    doi: 10.19666/j.rlfd.202508050
    [Objective]

    Driven by the global energy transition and the “dual-carbon” goals, enhancing the operational flexibility of coal-fired units has become pivotal for improving the grid’s renewable energy accommodation capacity. To enhance the frequency-regulation flexibility of coal-fired units and address the pinch-point bottleneck in molten-salt/steam heat exchange, this study proposes a three-tank cascaded thermal energy storage (TES) system integrated with a subcritical unit.

    [Methods]

    A steady-state model of a 330 MW unit was developed in EBSILON. It incorporated high-, intermediate-, and low-temperature molten-salt loops, and achieved partial boiler-turbine decoupling via main-steam and feedwater bypass circuits.

    [Results]

    The simulation results indicate that the cycle electric efficiency reached 63.51% at 100% THA; the heat rate increase of the integrated system was about 1% in hot standby working state of each working condition, and 13.2% at 40% THA with a 5%Pe regulation depth; the coal consumption penalty grew exponentially with regulation depth, providing a basis for defining an economic dead band.

    [Conclusion]

    The cascaded TES structure preserves steam exergy while significantly improving load-response rate and frequency-regulation capability, offering both theoretical insights and a practical design paradigm for flexibility retrofits of coal-fired units in power systems with high renewable penetration.

  • Peak shaving and frequency regulation technology for energy storage system coupled with thermal power unit
  • Zhiyu ZHANG , Haihui SONG , Bo ZHANG , Long QIN , Shengjie WANG
    doi: 10.19666/j.rlfd.202505101
    [Objective]

    This paper aims to reduce carbon emissions and enhance the operational flexibility of coal-fired power units.

    [Methods]

    A coupled system integrating compressed air energy storage (CAES) with oxygen-enriched coal-fired units was proposed based on energy complementary utilization principles. Various coupling schemes were proposed, and the thermodynamic performance and economic feasibility of the integrated system were analyzed.

    [Results]

    The results show that by replacing steam turbine extraction with flue gas waste heat to preheat the turbine inlet air, when the heat exchange efficiency of HE1–HE3 is 89% and turbine inlet temperature is raised to 115 ℃, the round-trip efficiency of the CAES system can reach a maximum of 74.33%, representing a 24.25% improvement over the standalone CAES system. When carbon allowances, CO2 revenue, and carbon taxes are considered, the coupled system achieves a static payback period of 11.256 years, shorter than that of the conventional unit. In this case, the net present value (NPV) and internal rate of return (IRR) reach 801.73 million yuan and 9.63%, respectively, both exceeding those of the conventional system, indicating better economic performance. Carbon taxes increase the levelized cost of electricity (βLCOE) of the coupled unit, while carbon allowance trading and CO2 sales significantly reduce the βLCOE. The βLCOE of the coupled unit becomes lower than that of the conventional unit when the carbon tax, carbon allowance price, and CO2 price exceed 6.4 yuan/t, 73.9 yuan/t, and 14.68 yuan/t, respectively. Sensitivity analysis reveals that coal price has the greatest impact on the economic performance of the coupled unit, followed by the carbon allowance price, CO2 price, and carbon tax.

    [Conclusion]

    The proposed low-carbon pathway for the deep integration of thermal power and energy storage offers theoretical and engineering guidance for promoting low-carbon emissions from coal-fired power units and accelerating their transition into flexible, dispatchable power sources under the framework of a new power system.

  • Peak shaving and frequency regulation technology for energy storage system coupled with thermal power unit
  • Yatong HUANG , Puyan ZHENG , Qunzhi ZHU , Zijie YE
    doi: 10.19666/j.rlfd.202507078

    Applying the molten salt heat storage technology to condensing thermal power units can enhance the flexibility of peak shaving. A bypass two-stage heat-storage peak shaving scheme was proposed and applied in an ultra-supercritical 660 MW unit. Taking 30% THA as the design condition for the thermal storage system, four heat storage capacity schemes were designed. The EBSILON software was used to analyze the peak regulation range, heat storage and release duration, peak regulation cost, and the change of net profit from heat-storage peak-shaving under different market rules. The results show that during off-design operations, there exist feasible domains for both heat charging and discharging. During the charging process, when the initial operating condition is between 40%~50%, the decrease in minimum generation load ratio is most significant, with the high-temperature thermal storage system reaching its design capacity first. During the discharging process, when the initial operating condition is 94.6%, the load ratio equivalent to VWO condition can be achieved, with the high-temperature thermal storage system completing discharge first. Regardless of the implementation approach, peak-shaving through thermal storage achieves maximum electricity revenue growth while minimizing lifespan depreciation costs and overall system expenses. In the peak-shaving ancillary service market, net profit peaks at 40% heat-storage starting condition, whereas in the capacity market scenario, the maximum net profit occurs at 45% heat-storage starting condition. The scheme with the smallest heat storage capacity demonstrates the lowest total cost increase, with both market mechanisms yielding optimal net profits.

  • Multi-type energy storage-assisted peak and frequency regulation technology
  • Xiang LI , Li GONG , Zheng LU , Hang ZHOU , Xiayang LI , Zeyi HUANG , Peijie LI
    doi: 10.19666/j.rlfd.202505117

    As the power supply structure gradually shifts toward a diversified pattern, the risk of regional renewable energy consumption increases. In order to maximize the utilization of the existing adjustment capacity of hydropower and thermal power and improve the consumption level of wind power and photovoltaic power, a multi-energy complementary energy base including wind power, photovoltaic power, hydropower, thermal power and energy storage is constructed, and the advantages of complementary power generation among wind power, photovoltaic power, hydropower, thermal power and energy storage compared to other power generation modes are analyzed. Based on 8 760 time series points throughout the year, a multi-objective power generation capacity planning model that takes into account system reliability, economic benefits, environmental benefits, and the consumption level of renewable energy is constructed, and multi-objective optimization is achieved through the linear weighting method of unit standardization of the objective function. Finally, the annual historical wind and solar data of a certain place are selected for simulation experiments. The results show that, compared with single-objective optimization, multi-objective optimization can effectively balance the equilibrium points among different optimization objectives, avoid the limitations of single-objective optimization, and by rationally adjusting the output of hydropower, thermal power and energy storage, the complementary coordination of wind power, photovoltaic power, hydropower, thermal power and energy storage on multi-time scales can be achieved.

  • Multi-type energy storage-assisted peak and frequency regulation technology
  • Tianyu WANG , Jiangfeng ZHANG , Haorui YIN , Xujuan ZHANG , Hongyu ZHAO , Qi WANG , Quan LI
    doi: 10.19666/j.rlfd.202511048
    [Objective]

    With the growing integration of renewable energy sources into the power grid, frequency fluctuations have become a significant challenge. To address this, hybrid energy storage systems (HESS) are used to assist thermal power units in responding to automatic generation control (automatic generation control, AGC) commands. This paper proposes a novel hybrid power distribution strategy based on stochastic model predictive control (SMPC) to enhance the regulation performance of thermal power units in AGC applications, particularly under fluctuating power demands. The aim is to optimize the power allocation between the thermal power unit and the HESS to improve the accuracy, stability, and efficiency of the regulation process, ensuring a more reliable response to AGC signals.

    [Methods]

    The proposed strategy first constructs a power demand model for the HESS system, consisting of lithium titanate batteries for high-power storage and lithium iron phosphate batteries for energy storage, based on a Markov probability matrix, which simulates the response of the thermal power unit to AGC commands. An adaptive mechanism is introduced to dynamically adjust the state transition probabilities in real-time, enhancing the accuracy of power demand predictions during AGC fluctuations. Additionally, a scene tree generation method is proposed, which combines probability thresholds with stratified sampling to transform the probability distribution output by the adaptive Markov model into a finite set of scenarios for optimization. This method is designed to better handle the uncertainty of power demand predictions under multiple future scenarios, addressing the inherent variability of AGC command responses. Finally, the strategy integrates the above components into an SMPC controller, which optimizes power distribution between the thermal power unit and HESS in real-time, considering the stochastic nature of power demands and control parameters.

    [Results]

    Simulation experiments demonstrate that the proposed strategy significantly outperforms traditional frequency regulation strategies, which do not incorporate power prediction, and static SMPC strategies that lack dynamic correction of state transition probabilities. The performance index Kp is improved by 14.1% and 7.5%, respectively, showing that the SMPC strategy with adaptive power demand forecasting can achieve more precise and stable regulation performance. Additionally, the model's ability to handle uncertainty in power demand prediction allows for more accurate and timely responses to AGC fluctuations, resulting in better coordination between the thermal power unit and the HESS.

    [Conclusion]

    The proposed strategy effectively enhances the collaborative regulation performance between the thermal power unit and HESS, offering strong application potential. Further optimization of the model can improve its robustness and adaptability in practical applications, advancing the implementation of this technology.

  • Multi-type energy storage-assisted peak and frequency regulation technology
  • Yifeng WANG , Junfeng XIAO , Mengqi HU , Lin XIA , Xiaolong LIAN , Zongli SHI
    doi: 10.19666/j.rlfd.202506112

    A model for hydrogen production and storage during deep peak-shaving (less than 30% of rated capacity) was established by coupling a gas turbine combined cycle (GTCC) unit with a solid oxide electrolysis cell (SOEC), demonstrating the feasibility of efficiently matching electrothermal resources within the system to accommodate renewable energy. Machine learning was used to predict GTCC variable-load power output, heat recovery boiler models were used to calculate steam parameters, and SOEC thermochemical models were applied to determine hydrogen production electricity and heat consumption. Results show that SOEC electrolysis voltage and hydrogen production can quickly respond to changes in input electrical energy, with the thermal inertia temperature difference of hydrogen production stabilizing at 25~27 ℃. When the peak shaving depth (the ratio of accommodated renewable energy to rated capacity) increased from 50% to 100%, the overall efficiency of the energy storage peak shaving system rose from 47.8% to 55.3%. Using GTCC-SOEC to accommodate renewable energy reduced the total energy consumption of hydrogen production from 6.7 kJ/m³ to 5.8 kJ/m³, with a reduction of 13.4%. SOEC hydrogen production heat consumption is about 80% of the electricity consumption, and the efficiency of the coupled hydrogen production system is only approximately 3.15%~3.34% lower than the efficiency of GTCC standalone peak-shaving power generation. For every 1% increase in peak shaving depth, hydrogen production increases by about 0.1 t/h, and CO2 emissions from natural gas combustion decrease by 0.64 t/h. Considering storage costs and weather impacts, when the unit operates for 8 hours per day, as the peak periods for wind and solar generation increase from 0 to 1.5 hours, the hydrogen blending volume ratio increases to 30%, and the average efficiency of the hydrogen storage-release cycle increases from the baseline 56.7% to 62.5%; When the daily online duration of renewable energy reaches 2.5 hours, the average efficiency within the cycle can reach 67.1%. When the ratio of peak-shaving subsidy to electricity price is less than 0.2, the cost-to-output ratio initially decreases and then increases with the ratio of stored to grid electricity. When the subsidy-to-electricity price ratio is greater than 0.2, the cost-to-output ratio continuously increases with the stored-to-grid electricity ratio.

  • Multi-type energy storage-assisted peak and frequency regulation technology
  • Jun WU , Hongping XIE , Jun KONG , Chao HAN , Ke SUN , Zhiwei LIU , Youkang WANG , Sugang LI , Shiqing ZHANG , Chaoran YANG
    doi: 10.19666/j.rlfd.202508047

    An efficient and feasible primary-side control method is proposed for the hybrid energy storage system (HESS) and wireless power transfer (WPT) system. This method can enable the system to dynamically maintain maximum power transfer under different charging states of the hybrid energy storage unit and keep the switching transistors of the Class E power amplifier (Eop) in a soft-switching operating state, ensuring stable and efficient wireless energy supplementation for the hybrid energy storage system. The system topology consists of an Eop, a series-series (S-S) type WPT circuit, and HESS. Based on the analysis of WPT transmission characteristics and Eop soft switching characteristics under different charging modes, the Eop optimal frequency tracking control and Eop soft switching duty cycle control strategies for HESS wireless charging are proposed. The key advantage is that all control mechanisms are located on the transmitting side, which can effectively reduce the volume of additional circuits in the energy storage unit on the receiving side and improve the volumetric energy density of the system. Finally, an experimental prototype is built based on the ZYNQ controller, and the experimental results show that the system can achieve efficient and stable wireless power transfer under different charging states and coupling conditions of the hybrid energy storage.

  • Multi-type energy storage-assisted peak and frequency regulation technology
  • Chunxian FENG , Wenxue WANG , Yifeng WANG , Feifei ZHANG , Long YUAN , Zhihao FAN , Heng CHEN
    doi: 10.19666/j.rlfd.202508008
    [Objective]

    To address the demand for flexibility and economy in power grids with high penetration of renewable energy, this paper proposes a coordinated dispatch optimization model and scheduling strategy for multi-type energy storage systems considering peak-valley electricity prices and renewable energy fluctuations.

    [Methods]

    Based on mixed integer linear programming (MILP) and the non-dominated sorting genetic algorithm II (NSGA-II), a dual-objective optimization dispatch model is constructed, aiming to minimize system costs and maximize renewable energy utilization rate. The model is validated using typical daily load and wind-solar power output data from different seasons in Hebei region to evaluate its economic performance and renewable energy accommodation effectiveness.

    [Results]

    The results show that the model demonstrates good robustness and can adapt to fluctuations in wind-solar power and load. The optimal energy storage output is 3 000 MW in spring and 2 000 MW in summer, autumn, and winter. The renewable energy utilization rate remains above 85% in all seasons, and the total system cost is controlled at around 15 000 yuan.

    [Conclusion]

    By integrating multi-season scenarios, multi-type energy storage, and multi-objective optimization, this study achieves coordinated improvement in both economic performance and renewable energy accommodation, effectively enhancing grid flexibility and reducing the curtailment rate of wind and photovoltaic power.