With the marketoriented reform of power grid companies, the power market will gradually attract the investment of various social capital. The transformer districts (TDs) subordinated to the distribution network and the distribution network itself provided a platform for the multiagent competition, forming a competitive game pattern. At the same time, the high proportion of DRE access improves the cleanliness of the distribution network, but the uncertainty of DREs' output also leads to the further increase of the distribution network dispatching operation risk.To mitigate the uncertainty, the distributed renewable energy, distributed thermal power generation, energy storage and flexible load within the same TD is treated as a whole and regulated by the distribution grid operator with the objectives of safety and economy. Firstly, a leader follower game model consists of the distribution grid operator and multiple transformer districts is established to coordinate the interests between the distribution grid operator and its subordinate TDs. Conditional valueatrisk theory is used to quantify the uncertainty risk caused by renewable energy represented by wind and solar power. Next, the profit of each TD in the carbon market is incorporated into the optimization scheduling model to further consider the carbon emission costs of distributed thermal power generation achieving flexible complementary regulation between distributed renewable energy and thermal power. The BP neural network is used to fit the model, simplifying the leaderfollower game model into a singlelevel model, which is then solved using a particle swarm algorithm. Finally, the variations in distributed power generation within each TD under different renewable energy output risks and carbon prices are discussed to further validate the effectiveness of the model.

Wind turbine blade stall will reduce wind turbine output power. In this paper, the aerodynamic analysis model of NREL Phase VI wind turbine was established based on Fluent software, and the pressure coefficient and power characteristics of the wind turbine blade section were calculated at 13 m/s wind speed, and the accuracy of the aerodynamic analysis method of the wind turbine was verified by comparing with the wind tunnel experimental data. Then, the active jet and vortex generator (VGs) were coupled to the blade of the wind turbine. It was found that the power of the wind turbine increased first and then decreased with the increase of the width of the jet hole and the height of the vortex generator. A wind turbine aerodynamic analysis model with mixed flow control was established to study the influence of the chord distance between jet and vortex generator and the height of VGs at the trailing edge on the aerodynamic characteristics of the wind turbine. The results show that the wind turbine output power reaches the highest when the distance is 0.3C(C is the chord length of airfoil), and the increase is 6.61% compared with the single jet control. When the trailing edge VGs height is 15 mm, the hybrid flow control has the best effect and the highest fan power.

With the promotion of the "dual carbon" goal, the capacity of distributed new energy connected to the power grid has significantly increased. The use of distribution network source network load storage coordination optimization strategy is an important method to achieve distributed new energy consumption, among which reactive power optimization can ensure the safe and stable operation of the power grid. This article proposes an adaptive learning rate convolutional neural network based optimization technique for load storage and reactive power coordination in distribution networks. Firstly, a reactive power optimization model is constructed with the goal of minimizing network loss and voltage offset. Secondly, utilizing the powerful nonlinear fitting ability of convolutional neural networks, the mapping relationship between power grid operation scenarios, reactive power regulation equipment, and energy storage charging and discharging strategies is excavated. Adaptive learning rate is introduced to update network parameters and improve network training efficiency. Finally, by controlling the charging and discharging conditions of reactive power regulation equipment and energy storage devices to coordinate the output of distributed power sources, active optimization control of reactive power and voltage in new distribution network is achieved. After simulation verification of the IEEE33 node power grid model, the results show that the proposed optimization method for load storage and reactive power coordination in the distribution network source network improves the voltage regulation ability of the power system, laying a good foundation for the safe and reliable operation of the distribution network.

In this study, the Capricpalmitic acid (CAPA) binary eutectic PCM was vacuum impregnated into the expanded vermiculite (EVM) to prepare CAPA/EVM composite phase change thermal storage material. FTIR, DSC, TG, and thermal cycling were used to assess the chemical compatibility, heat storage performance, thermal stability, and thermal reliability of CAPA/EVM. The results showed that CAPA was stably loaded in the layered pores of EVM through physical interaction, and CAPA/EVM had excellent chemical compatibility. The Melting and solidification phase transition temperatures of CAPA/EVM were 23.61 and 20.41 °C, respectively. The latent heat of melting and solidification phase transition were 67.22 and 64.87 J/g, respectively. The amount of CAPA encapsulated in EVM could reach 52.22%, and it had favorable thermal stability at working temperature. In addition, the CAPA/EVM maintained great thermal reliability after 100 thermal cycles, indicating its potential application in the building energy conservation field.

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.

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.

The carbon dioxide emissions of various parks account for about 30% of China's total carbon emissions. The lowcarbon and efficient park integrated energy system is an important way to achieve China's "carbon peak, carbon neutrality" goal. Firstly, this paper establishes the electricitycarbon market trading architecture of the park integrated energy system, and analyses the carbon emission responsibility of the park integrated energy system. Then, considering the energy purchase cost and carbon emission transaction cost, the economic operation evaluation model of the electricitycarbon benefit of the park integrated energy system is proposed with the goal of minimizing the overall operation cost of the system. The example analysis shows that the economic operation evaluation model proposed in this paper can fully reflect the carbon emission cost of the integrated energy system, and proves that the introduction of indirect carbon emission cost will increase the overall operation cost. Higher carbon price and higher emission reduction targets can drive the parks to reduce the total carbon emission and help achieve the "double carbon" goal.

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.

In order to improve the grid connected efficiency of largescale renewable energy and reduce the impact on traditional power grid, this paper studies the method of aggregating distributed renewable energy and energy storage stations into virtual power plants. By describing the feasible operation domain after aggregation, peak shaving and load filling can be realized, and fossil energy consumption and environmental pollution can be reduced. A virtual power plant flexible polymerization method based on Minkowski sum and convex cell edge detection is proposed. Based on Multiple Objective Particle Swarm Optimization (MOPSO) algorithm, A set of objective functions was established considering both conventional unit operation constraints and energy conservation and capacity constraints of energy storage power station. The multiobjective optimization problem of optimal output of multitype units and charge and discharge sequence of the distributed energy storage was solved, and the unit commitment optimization with virtual power plant was realized. Furthermore, wind power plant and distributed energy storage are added into the standard case of IEEE11 units for simulation verification. The calculation results show that the virtual power plant scheme based on MOPSO optimization has significant effects on renewable energy accommodation, operation cost reduction and fossil energy saving.