In order to reduce external interference and ensure safe and stable power operation, a research on intelligent control of largescale wind power generation based on MQWaveNet for smart new energy is proposed. By constructing a smart new energy largescale wind turbine model, calculating the captured wind energy and blade tip speed values, adjusting the speed of the generator, and obtaining the optimal power coefficient. Input parameters such as air pressure, wind direction, and wind speed into a wavelet neural network, and obtain power values for the hidden layer and output layer based on the weights between layers; Combining multi view quantiles to form an MQWaveNet model, calculate the power generation prediction results for each quantile and clarify the temporal characteristics of wind power generation. Using Lyapunov function estimation, calculate the transformation and control vector of the sliding mode surface for wind power generation, reach the sliding mode surface within the range of multiple quantiles, and achieve intelligent and stable control of the wind power generation state. Through experiments, it has been proven that the studied model can improve the antiinterference ability of wind turbines and ensure the intelligent and stable operation of equipment.

The weight of PV (photovoltaic) output characteristic index is constructed based on entropy weight method, and the typical scenarios are generated by AP (adaptive clustering) lustering algorithm. Considering the timespace distribution characteristics of EV (ectric vehicle) oad and demand response ability, the load linkage timespace response model is established. Based on the optimization of charging sequence and spatial layout of EV, the multiobjective planning method for charging station/PV station is proposed with meetting the distance constraints of charging stations and network constraints, which target the minimum annual total cost of charging station and the optimal index of user satisfaction. Case study, the integrated planning scheme of charging station/PV station is obtained based on the tradeoff between economy and satisfaction in each scenario.

Controlled islanding is an important measure to ensure the stability of power system and avoid largescale power outages. However, the traditional researches method that regard the splitting surface determination as a single objective optimization problem neglect the stability of isolated subsystem. Therefore, a control islanding strategy considering the stability of subsystem with new energy is proposed in this paper. Firstly, the initial islanding surface with the minimum powerflow disruption is obtained based on the electrical connections and power flow distribution between nodes. Then considering the electrical coupling connectivity of key nodes and the penetration of new energy, the final islanding surface is searched in the neighborhood search space of the initial solution, to improve the stability of the isolated network subsystem after splitting. Finally, the proposed method is analyzed based on the New England 39bus system, and the simulation results validate the effectiveness and advancement of the method.

To evaluate the heat extraction performance and optimize the injection parameters of a singlewell ClosedLoop Geothermal System (CLGS), this paper analyzes the shortterm (thermal response testing) and longterm (one heating season) heating performance of CLGS and optimizes operation parameters including injection temperature and rate, based on wellbore reservoir coupling simulation and site operation monitoring data for a typical site in Northeast China. The results indicate that the mean heat extraction rate is 65.2 kW and the average temperature difference between the output and inlet is 4.9 °C with an average injection temperature of 7 °C and an injection flow rate of 7.7 m³/h for a vertical well of 1 700 m. At the end of a heating season, the maximum range for temperature reduction in the formation is approximately 7 m with the maximum temperature decrease up to 23 °C, and it can recovery better during the nonheating period. Without considering operating costs and sustainable development, the low injection temperature and large injection rate result in high heat extraction rate. Setting the injection temperature to 5 °C and flow rate to 6.3 m³/h can minimize operating costs while meeting heating needs, reducing costs by 20% compared to the existing solution. The optimization design that considers operating costs and sustainable development has practical significance for a single well closedloop geothermal system.

Based on the practical problems, a dynamic model of 6.7 MW wind turbine was established, and the influence of opening trailing edge of 0, 0.1%c, 0.3%c, 0.5%c on blade aerodynamics was investigated by CFD and BEM. The result shows that the lift coefficient and liftdrag ratio of the airfoil significantly increase with the increase of the opening trailing edge; the drag coefficient is almost unchanged before stall, but slightly changed after stall; the stall angle of the airfoil is 12° and the position of the stall separation point of the airfoil moves slightly backward. Otherwise, under the influence of turbulent wind, the blade deformation and axial force increased slightly, and the maximum power generation increased by 0.88%.

With the development of regional integrated energy system, how to comprehensively evaluate the comprehensive energy efficiency of regional integrated energy system has become a widespread concern. First, consider the change of quality in the transformation process of different energies, introduce the concept of "exergy efficiency", convert different energies through the energy quality coefficient method, and establish a comprehensive energy efficiency evaluation index including economy, energy efficiency and environment on this basis; Secondly, an improved TOPSIS is established for evaluation, the results of entropy weight method and coefficient of variation method are combined by the least square method to calculate the weight, and the distance measurement method in TOPSIS is improved by using grey correlation degree; Finally, an example is given to verify the effectiveness and feasibility of the proposed method. It can provide a certain reference value for the planning and optimal operation of the highquality regional integrated energy system in the future.

Due to the high proportion of distributed photovoltaic access to the distribution network, the traditional centralized control is difficult to adapt to the voltage control problem in highdimensional environment. Therefore, this paper proposes a voltage coordinated control of photovoltaic distribution network with high proportion distribution considering network partition. Firstly, the distribution network is divided into centralized topology and local topology according to the partition function algorithm. Secondly, aiming at the centralized topology, the voltage centralized control model of distribution network based on second order cone programming (SOCP) is established with the minimum sum of voltage deviation and network loss as the objective function. Aiming at the local topology, the minimum node voltage deviation is taken as the objective function, and the voltage fine control model with Markov decision process is established. Then, the CPLEX solver and the deep deterministic gradient algorithm are used to solve the regional model effectively. Finally, the method is applied to an actual 35 kV/10 kV distribution network. The simulation results show that the proposed method has a good control effect, which ensures the safe operation of the distribution network and improves the photovoltaic penetration rate.

In order to solve the problem of large error in the dayahead scheduling plan of the integrated energy system of industrial energy consuming parks caused by the random characteristics of renewable energy, a multitime scale lowcarbon dispatching strategy of the integrated energy system based on the energy router was proposed based on the control characteristics of the energy router. In the dayahead optimization scheduling stage, considering the lowcarbon and economic performance of the system, the equipment output is optimized with the goal of minimizing the daily operating cost and environmental cost, and in the intraday scheduling stage, considering the problem of energy response time difference and source –load mismatch, an adaptive timescale intraday rolling plan scheduling strategy is proposed, and the intraday rolling plan scheduling cycle is reasonably switched according to the operation status of the system after the dayahead scheduling, so as to realize the repeated correction of the dayahead scheduling plan. The simulation results show that the proposed method can reduce the influence of renewable energy, load and other factors on the optimal operation of the system under different time scales, reduce the carbon emissions of the system, and ensure the lowcarbon and reliable operation of the integrated energy system in the park.

The bipolar plate is a crucial component of the proton exchange membrane fuel cell (PEMFC), with their performance playing a key role in the structural stability, long term durability, efficiency, and power density. Metal bipolar plates have attracted much attention due to their low cost, outstanding mechanical properties, and effective electrical and thermal conductivity. Among these materials, titanium possesses low density, excellent airtightness, high tensile strength, and exceptional corrosion resistance in acidic environments, which makes them highly promising for use in PEMFCs. However, the corrosion resistance, electrical conductivity, hydrophobicity, and heat and mass transfer properties of titanium bipolar plates are significantly influenced by the coating materials and forming methods. Therefore, this paper first introduce the functions and requirements of bipolar plates in PEMFC. It then reviews the main research findings from recent years regarding the coating materials and forming methods of titanium bipolar plates, and concludes with a discussion of future research directions.

Biomass pyrolysis can produce pyrolysis carbon and pyrolysis oil, of which the pyrolysis carbon is rich in surface functional groups and pore structures, while the pyrolysis oil contains a variety of components that can undergo redox reactions, which can be used for the preparation of fuel cell electrode materials and fuels, respectively. In this article, the working conditions of using wood pyrolysis oil as alkaline fuel cell fuel were optimized, and wood activated carbon (AC) and three types of wood pyrolysis carbon composite electrodes (AC/Fe, AC/Mn and AC/Fe/Mn) were prepared from wood pyrolysis carbon with K2CO3 activation and metal loading, furthermore the electrodes were analyzed using Fourier transform infrared spectroscopy, scanning electron microscopy, and electrochemical workstation. The microstructure, surface properties and electrochemical activity of the materials were analyzed by Fourier transform infrared spectroscopy and an electrochemical workstation. The results indicated that the optimal wood pyrolysis oil mass fraction and environmental temperature were 30% and 60 °C, respectively, when AC was used as the cathode electrode, at this point the current reached 3.10 mA; under the optimized conditions, the currents for AC/Fe, AC/Mn and AC/Fe/Mn were 8.02, 12.57, 15.25 mA, which were 159%, 305% and 392% higher than that of AC, respectively; under the optimized conditions, when AC/Fe/Mn was used as the cathode electrode and 12 mL of wood pyrolysis oil was added as the fuel, the fuel cell constructed from wood pyrolysis products could work continuously for 408.6 min with a total discharge capacity of 40.61 mAh.