In order to achieve rapid and accurate assessment of transient voltage stability in the power system following the integration of wind farms into the grid, a transient stability assessment metric is proposed based on Convolutional Neural NetworksLong ShortTerm Memory (CNNLSTM) and attention mechanisms. To better capture spatial and temporal correlations in the input data, feature dimensionality reduction is carried out using Kernel Principal Component Analysis (KPCA). Addressing challenges related to decreased shortcircuit capacity and increased shortcircuit current levels in highproportion renewable energy grids, an active support measure is introduced by installing superconducting fault current limiters to restrict shortcircuit current levels during fault processes and maintain voltage stability at grid connection points. Finally, simulations and data collection are performed on an IEEE39 node system with wind power integration using PSDBPA. The results indicate that the KPCA approach effectively screens features of significant importance in the transient stability assessment of power systems. The proposed evaluation metric demonstrates higher discriminative capability, and the suggested improvement measures are observed to play a positive role in enhancing transient voltage stability in highproportion wind power integration systems.

In this paper, Aspen Plus process simulation software was used to compare the effects of adding CO2 adsorbent on hydrogen production by steam reforming of biomass under different conditions [gasification temperature, mass ratio of water to carbon in biomass (S/C), reaction pressure]. Based on the energy consumption and material consumption required for producing hydrogen per unit volume, the matrix analysis method was used to optimize, and the best conditions of adsorption enhanced biomass steam reforming gasification were obtained: When the gasification temperature is 500 °C, S/C=2 and the gasification pressure is 0.1 MPa, under this condition, the hydrogen production is 1.56 m³/kg, the hydrogen concentration is 98.3%, and the energy consumption and material consumption required for producing the unit volume of hydrogen are 4.16 MJ/m³ and 0.64 kg/m³, respectively.

A disturbance compensation type improved active disturbance rejection control strategy is designed to address the problems of multiple disturbances, large inertia, and long delay in the SCR system of the coal mining machine system. Based on the model information of the SCR system, a mathematical model of the required form of active disturbance rejection was established. A secondorder degree of freedom auto disturbance rejection was designed to control it, and the total disturbance was reconstructed to be equivalent to unknown disturbances and external disturbances. A new observer was designed for disturbance compensation, forming a disturbance compensation linear auto disturbance rejection, improving the observer's disturbance observation ability and accuracy. Finally, a digital simulation model of the SCR system is built on the MATLAB/Simulink simulation platform and compared with PI and LADRC. The results show that the disturbance compensation improved active disturbance rejection has better antiinterference and tracking capabilities, verifying the correctness and superiority of the proposed control strategy.

In the context of the "double carbon" target, a comprehensive energy system optimization and scheduling model considering REGS and adjustable thermoelectric ratio is proposed to address the abandonment problem caused by the "heatdetermined" mode of CHP units. Firstly, we construct a model such as dry heat rock extraction cycle, and analyze the energy allocation coefficient for REGS as the source of thermoelectric adjustable mechanism; secondly, we study the coupling operation mechanism of REGS with solar thermal power plant and cogeneration unit, analyze the mechanism of coupling operation to improve thermoelectric ratio, and introduce a generalized unit thermoelectric ratio control model; thirdly, we construct an objective function with the sum of energy purchase cost, operation cost, operation and maintenance cost, wind abandonment cost and carbon tax cost; finally, the proposed model is verified to improve the system economy and wind power consumption rate and reduce carbon emission by using the actual data of a region in Northwest China.

The optimal control of wave energy converter clusters helps to make full use of wave resources, for which a wave power cluster optimization method based on a hybrid particle swarm algorithm is proposed. Directdriven wave power generators are taken as the research object to explore the mathematical model for the shortterm scale of the steady state of power generation clusters. Wave dynamic pressure, radiation influence among devices and shading effect among devices are considered in order to simulate more accurately the actual effect of deploying a certain density of wave energy devices. With wave cluster power maximization as the optimization objective, a hybrid particle swarm algorithm is proposed to solve the optimal parameters of the power generation cluster taking into account the motion of the power generation devices and the energy constraints of the sea area.Crossover and mutation operations are added to the traditional algorithm to cope with the problem of multipeakability in the solution space of the complex equations. The results of the algorithms verify the effectiveness of the cluster optimization method with good solution quality.They also show that the larger the size of the wave power generation cluster, the more complex the radiative influence between the devices and the more obvious the shading effect.

In cold regions, offshore wind turbine structures are susceptible to complex environmental loads, which can lead to vibrationrelated safety concerns. Taking a 6.45 MW offshore monopile wind turbine structure as an example, the vibration response of the structure under the combined action of wind and ice loads is analyzed and compared before and after the implementation of the MTMD (Multiple Tuned Mass Damper) system. The results indicate that the wind and ice loads induce severe vibration responses in the wind turbine tower, with the maximum displacement response occurring at the top of the tower and the maximum acceleration response near the amplitude point of the second mode of vibration. In addition to the first two natural frequencies, the wind and ice loads also excite higherorder responses in the tower structure. By employing an MTMD system that controls the first and second mode frequencies, the displacement, acceleration, and overturning moment responses of the tower structure can be effectively controlled, resulting in significant vibration reduction. However, it should be noted that the TMD (Tuned Mass Damper) device exhibits frequency sensitivity and cannot effectively mitigate vibration responses induced by higherorder frequencies of the structure.

The joint participation of energy storage stations and wind farms in the black start of a system can reduce load outage time and accelerate system recovery. This paper focuses on a large energy storage power station and wind farm combined power generation system and proposes a coordinated control strategy for black start considering the restoration capability of energy storage power stations. The wind farm employs a maximum power tracking control method, while the energy storage power station adopts the V/f control method to jointly form a black start power source. Soft energization is employed for the energy storage power station and critical load restoration are performed before the wind turbines are connected to enhance the stability of restored system. An estimation method for the recovery amount of load is introduced, considering the recovery capability of energy storage stations. Based on the auxiliary load demand of the thermal power plant and wind power prediction, the state of charge of the energy storage power station during the black start process is predicted. Then, considering the power and state of charge constraints of the energy storage power station, the amount of critical load to be restored is determined. Transient simulations are carried out in PSCAD/EMTDC to verify the effectiveness of the proposed strategy.

In this paper, biochar composite carrier was constructed by using biochar loaded with different concentrations of sodium bicarbonate, humic acid, Tween 20 and other catalytic regulators, and each composite carrier was added to the rice stubpig manure mixed anaerobic fermentation system for anaerobic fermentation. By measuring the gas production, methane production and the degradation rate of straw lignocellulose of each treatment, the role of biochar composite carrier on methane production in mixed anaerobic fermentation and straw degradation was revealed. The results show that the biochar composite carrier can increase the peak value of methane production and shorten the time of peak value of methane production. Biochar composite carriers can significantly increase the cumulative gas production and the cumulative methane production of anaerobic fermentation systems, with the best effect of biocharloaded Tween 20, followed by biocharloaded humic acid and biocharloaded sodium bicarbonate. Compared with the control group, the gas production and the methane production of biochar loaded Tween 20 treatment increased by 23.18% and 62.20%, respectively. In each treatment, the degradation degree of straw was the highest in biochar loaded Tween 20 treatment, followed by biocharloaded humic acid, biochar loaded sodium bicarbonate and control group. The optimal loading concentrations of Tween 20, humic acid and sodium bicarbonate were 2.25, 0.75, 2.10 g/L, respectively.

To ensure the economy of power operation in parks and increase the proportion of clean electric energy, an optimization model of lowcarbon power operation in parks based on green power and voluntary emission reduction transactions is proposed. This model comprehensively considers the purchase cost of green power and thermal power, the cost of photovoltaic power generation, and the income from voluntary emission reductions. The objective function is to minimize the total operating cost, and green electricity, thermal power generation and photovoltaic power generation are optimized with combination of random probability constraints in three stages: mediumand longterm, dayahead and realtime. Based on the data of an enterprise park in Nanjing, the analysis results show that under the reasonable price of voluntary emission, the optimization model can slightly reduce the total operating cost of the park, and significantly improve the use ratio of clean electric energy and the park's ability to cope with disturbances. In addition, the impacts of the voluntary emission reduction price and confidence value on the optimization results are analyzed.

This paper investigates the effect of surface temperature on the efficiency of photovoltaic cells under high concentrating power, and investigates the coupled fin heat pipe heat sink in concentrating photovoltaic cell systems. Study the effect of the number of fins, distribution and fluid flow on the cell efficiency and surface uniformity of the heat pipe radiator under water cooling and air cooling, and compare it with ordinary radiators. The results show that the minimum temperature of the battery surface with the heat pipe radiator occupies less area, the uniformity is significantly improved, and the battery efficiency is improved; under the working condition of 0.64 m/s flow rate, the fin spacing is 1.5 mm, and the fin thickness is 0.4 mm, the overall performance of the battery is the best, the surface temperature is 314 K, the temperature difference is less than 1 K, the uniformity is best, then the electrical efficiency is 31.25%, and the thermal efficiency is 66.03%.