Pitch control of large wind turbine is a complex nonlinear control task. How to achieve power regulation and load reduction under system constraints and wind speed disturbance has become a problem. For this problem, a controloriented linear parameter varying (LPV) model is constructed by using mechanism and parameter identification methods. The gap metric theory is introduced to reduce the complexity of the model, which provides a more accurate linear model for control design. Based on the obtained optimal states, an adaptive model prediction pitch controller (MPC)is proposed with the change of realtime wind speed. The coordinated control of powerload for large wind turbine can be realized under the conditions of system constraints. The simulation examples of OpenFAST show the effectiveness of the proposed model and controller.

With the construction and promotion of greener grid, the old electricity marketing process is facing new challenges. Therefore, in order to suit the new requirements of electricity marketing, this paper proposes an electricity pricing method based on the careful consideration of regional carbon emissions. Firstly, consider the economic compensation of carbon emission reduction incentive and controllable load participating in peak regulation response, a load mobilization cost model considering carbon emission and peak regulation cost is established. Then, based on the idea of game theory, the demandside controllable load and energy storage device are used as schedulable resources to construct a 1K Stackelberg masterslave game decision model. Finally, the inverse induction method is attached to solve the model. We can see from the results that the proposed electricity pricing method of new energy power grid considering regional carbon emissions can promote the optimal operation of power system and realize the double improvement of efficiency and benefit of new distribution network.

With the increasing penetration rate of new energy in the distribution network, the bearing capacity of new energy in the distribution network is facing challenges; The electric heating load has a certain degree of adjustability and has the potential to participate in the load dispatch of the distribution network. How to improve the new energy bearing capacity of the distribution network through load dispatch has important practical significance. The article proposes a dynamic optimization scheduling strategy for electric heating loads in distribution networks that considers the bearing capacity of new energy. Firstly, a regulation model for the load of thermal storage electric heating was constructed; Then, with the goal of bearing capacity of new energy in the distribution network substation area, and with the constraints of smoothing load fluctuations, stable and safe operation of the distribution network, and user comfort of the heating load, a dynamic optimization scheduling model for the heating load of the distribution network was established, and a solution strategy based on quantum genetic algorithm was proposed. The Latin hypercube sampling method is used to generate typical application scenarios for the applicability analysis of dispatching strategies for the new energy bearing capacity of distribution networks. The calculation results show that the proposed method can fully consider the potential for regulating the electric heating load and improve the application level of new energy in the distribution network.

LiN2 battery is a new type of energy storage system with the function of electrochemical nitrogen fixation, and the electrochemical model established in the article used finite element software COMSOL coupled with multiphysics field can reveal the influence of various factors on its discharge performance. The simulation results show that: the discharge current density, temperature, cathode porosity and N2 solubility factor in the electrolyte have an effect on the discharge performance of LiN2 battery; a larger discharge current density will reduce the voltage and capacity of the battery; cathode porosity and N2 solubility factor in the electrolyte are the key factors that affect the voltage and capacity of the battery, and increasing the cathode porosity and N2 solubility factor in the electrolyte can increase the voltage and capacity of the battery; With the temperature rising, the voltage of the discharge platform of the battery increases, but the discharge capacity is almost unaffected by temperature.

The solar heating system coupled with seasonal thermal storage is a promising solution to solve the seasonal mismatch between the solar energy supply and heating demand. The thermal performance of the system in the heat storage season has a significant impact on the system's annual operation performance, and has a direct impact on the discharging process of the seasonal storage in the heating season. Therefore, based on the solar heating system coupled with seasonal thermal storage in Fanshan Town, Zhangjiakou, a dynamic simulation platform is built. The influence of different operation strategies on the performance of the system is analyzed by experiment and simulation methods. Results showed that the control strategies were significant for improving the heat collection performance of solar receiver and the exergy efficiency of the UWPS. The stratification of the seasonal storage has an impact on the collection efficiency of the receiver, especially at the end of the nonheating season. In addition, at the end of the nonheating season in typical year, the monthly solar collection efficiency could be increased by 4.8% in variable flow control compared to the temperature difference control.

Offshore wind turbines installed close to earthquakeprone zones are not only affected by wind and wave loadings, but also threatened by earthquakes. In order to reduce the earthquake impacts on the structural vibration and load of largescale wind turbines, a seismic coupled analysis and structural control architecture has been developed by improving FAST based on the modal acceleration method and the Tuned Mass Damper (TMD). The control effects of TMD on tower vibration and load reduction of the IEA 15 MW monopile wind turbine due to different ground motions are investigated. The results show that the TMD can significantly reduce the towertop displacement and towerbase load for each examined ground motion. The best effect on alleviating towertop vibration is achieved when the tuning frequency ratio of the TMD is 0.9, reducing the tower top displacement by 89.8%. The fluctuation amplitude of towerbase bending moment following the earthquake event is significantly reduced by the TMD with a tuning frequency ratio of 0.8 that is capable of reducing the standard deviation by up to 99%.

This study addresses challenges associated with conventional parabolic trough solar power systems, including limited operating temperature and excessive thermal stress caused by uneven energy flux density distribution on the vacuum absorber tube's surface. Rather than altering the parabolic trough collector's structure, we introduce an innovative vacuum absorber tube design. This design involves reducing the diameter of the inner metal tube, shifting it downward, and adding a hyperbolic secondary concentrator above it to enhance solar energy concentration and improve energy flux distribution on the inner metal tube's surface. Simulation results for the new vacuum absorber tube yield promising outcomes. Optically, this novel design increases the concentration ratio from 62 to 71 and improves the uniformity of energy flux distribution by 55.05%. Importantly, these improvements come at the cost of only a 1.88% reduction in optical efficiency compared to traditional vacuum absorber tubes. Consequently, these modifications offer a substantial boost to the overall performance of the parabolic trough collector.