The limited availability and supply security issues of traditional energy resources have prompted people to shift towards research on energy interconnection and lowcarbon electricity. Integrated energy systems are gradually becoming a key means to achieve energy coordination and energy conservation and emission reduction. In order to manage carbon emissions and promote the utilization of sustainable energy, this paper proposes a multi regional integrated energy system scheduling model based on the carbon green certificate joint market. Regulatory authorities allocate and adjust carbon emissions, and exchange them through two channels: the carbon trading system and the green certificate market system. This article evaluates the feasibility of introducing a carbon green certificate market mechanism in the Integrated Energy System (IES) and establishes a green certificate joint market framework. This article adopts a combined double auction (CDA) mechanism for bidding to determine the optimal price of green certificates, develops optimization models for heating and natural gas networks, and combines them with the constraints of IES to ensure the stable operation of the system. This article analyzes the impact of changes in carbon trading systems, green certificate market systems, and natural gas prices on system operating costs. The simulation experiment results show that the model can significantly improve the efficiency of the comprehensive energy system and reduce carbon emissions.

Accurate condition monitoring of wind turbines is crucial to the safe and stable operation of wind turbines and the improvement of economic benefits. However, affected by the divergence in the distribution of operating data of different wind turbines, the existing condition monitoring methods have the problem of difficulty in taking into account the accuracy and efficiency in the application scenario of multiple wind turbines. BDA can shorten the data distance and reduce the data distribution divergence. Therefore, this paper propose a multiwind turbine condition monitoring method based on balanced distribution adaptive transfer learning. Firstly, the mutual information method based on Copula entropy is used to mine the key influencing parameters of the wind turbine condition; then, a wind turbine condition monitoring model is established based on the GRU model and SPRT method; wind turbine operation data distribution assimilation model based on BDA is constructed, and used for multiwind turbine condition monitoring. Results show that the proposed method can effectively save the modeling cost and calculation cost, and can significantly improve the monitoring efficiency on the premise of ensuring the monitoring accuracy of the operating state of multiple wind turbines.

Modern power system has developed into cyberphysical system (CPS), which is highly integrated between power network and information network. However, advanced information technology not only improves system performance, but also introduces new security risks. With the largescale gridconnection of Electric Vehicle (EV) with mobile energy storage equipment, the absorption capacity of distribution network for new energy has been greatly improved. However, the low security and high accessibility of charging piles have further reduced the network security of distribution network. On this basis, a distributed energy management strategy based on consistency algorithm is firstly proposed in this paper, which considers the EV cluster as an energy storage device with source charge bidirectional characteristics to achieve fully distributed economic scheduling. Considering denial of service attacks and new data integrity attacks for electric vehicles, a disturbance rejection control strategy combining privacy protection protocol and isolation mechanism is proposed to achieve effective energy management and economic operation of systems under network attacks. Finally, the effectiveness of the encryption mechanism and the feasibility of the control strategy are verified by simulation.

Lignin nanoparticles (LNP) as the carbon precursor is used to prepare hierarchical porous carbon using template methods in this study. In comparison to the porous carbons (SLC, FLC) prepared with a single template method, the LNPbased porous carbon (FSLC) is fabricated using nanoSiO2 coupled with PluronicF127 as double templates. This approach results in a honeycomb like structure with typical mesoporous characteristics for FSLC, achieving a mesoporous ratio of up to 87%. As a supercapacitor electrode, FSLC demonstrates good electrochemical performance, with a mass specific capacitance of 250 F/g at a current density of 0.5 A/g, representing a 163% increase over mass specific capacitance (95 F/g) of the SLC. The dualtemplate method for producing highperformance porous carbon offers a novel approach for utilizing lignin in energy storage application.

In this paper, in order to study the dynamics of the model turbine with driven motion at different yaw angle operating condition, a wind turbine model based on elasticity is established. Under the condition of turbulent flow, the driven motion state of the model wind turbine is realized with irregular rotation, and the wake distribution characteristics and energy characteristics of the wind turbine are studied. The results show that when the yaw angle is 0°, the wake of the driven wind turbine is obviously smaller than that of the fixed wind turbine, and the turbulent kinetic energy is greater than that of the fixed wind turbine because of the multifreedom rotational motion of the driven wind turbine. With the increase of yaw Angle, the distribution of wake and turbulent kinetic energy of wind turbine appears radial deviation, and the deviation direction is opposite to the direction of yaw Angle rotation, and the wake and turbulent kinetic energy decreases with the increase of yaw Angle. With the increase of yaw Angle, the average output power of forced and fixed wind turbines decreases, and the average output power of forced wind turbines is smaller than that of fixed wind turbines.

The output of wind, solar and other renewable energy sources is highly variable and stochastic, which poses a great challenge for the flexibility of the system. Therefore, a hybrid energy storage joint planning method for power systems that balances economy and flexibility is proposed. First, the flexibility requirements of the source and load sides are assessed from the perspective of power balance; then, a twolayer planning model that coordinates the flexibility retrofit of thermal power units and the hybrid energy storage is established, with three types of flexibility resources as the planning objects, namely, thermal power unit flexibility retrofit, Vanadium Redox flow Battery, and pumped storage. Using the upper and lower layer models, the scheme is iteratively optimized to obtain the optimal hybrid energy storage configuration scheme that balances economy and flexibility; secondly, an an improved whale algorithm based on inverse learning is adopted to optimize the planning model, and the validity of the model is verified by simulation. Finally, a case study is carried out using historical data from a certain region in Inner Mongolia Eastern to validate the effectiveness of the proposed method.

The doubly fed induction generator, operating in electric mode, has a certain inertia supporting capacity to the power grid, but the supporting capacity is limited, and the rotor is out of control during the lowvoltage crossing of the power grid. In this paper, a kind of rotor stability control technology is proposed when voltage sags in power system. Firstly, a flywheel is attached to the rotor shaft of a doubly fed fan to increase the inertia of the system and stabilize the speed of the rotor. Secondly, voltage compensation is used to reduce the back electromotive force of the rotor side and stabilize the rotor current when the voltage of the power grid falls, the simulation model of the system is built in MATLAB/Simulink platform, and the results show that the antimutation ability of the rotor speed of the doublyfed fan is improved by 20% by adopting the rotor stability control technology, the rotor current drop value is reduced by 45%, which verifies the validity and reliability of the proposed rotor stability control technique.

In order to achieve clean heating in northern rural areas, this paper constructs an air source heat pump heating system based on automatic heat storage/discharge devices and compound multisurface concentrating collectors.Experimental research shows that: at the same water supply temperature, the COP of the heat pump increases gradually with the increase of the inlet air temperature of the evaporator and the intensity of solar radiation. When the heat collector and heat pump are operated together, the heat storage device can automatically store heat and automatically supplement the heat of the air entering the evaporator. The temperature rise of the air is 2~4 °C. The system heat collection and heating capacity on the experimental day were 2.29 MJ/m² and 27.99 MJ/m² respectively, the system energy efficiency ratio (SEER) was 1.84, and the daily average solar energy contribution rate was 41.2%. When the air source heat pump operates alone, the heating capacity of the heat pump on the experimental day is 8.75 MJ/m², and the SEER is 1.79. The above results show that the solar subsystem constructed in this article can automatically adjust the heat storage of the system and the heat supplement to the evaporator, improve the energy efficiency ratio of the system, reduce the difficulty of operation and maintenance, and has certain adaptability in rural areas.

Under the background of "double carbon", distributed renewable energy and flexible resources such as energy storage and demand response develop rapidly. Virtual power plants integrate distributed resources efficiently through control technology, which improves the power generation efficiency of distributed energy. With the social capital entering the power market, different virtual power plants will belong to different investors, forming a multiagent game pattern. According to the investment preferences of investors, virtual power plants will be composed of resources with different flexibility. In order to give consideration to the interests of virtual power plant operators and virtual power plants, a twolevel masterslave game model between operators and multivirtual power plants is constructed. Considering the interaction between upper pricing and lower output, the dynamic pricing of operators and the optimal operation and scheduling of virtual power plants are studied. In the lower layer, aiming at the minimum operating cost of each virtual power plant, the optimal scheduling models of multiple virtual power plants including electric energy storage, demand response and hydrogen energy storage are established respectively. The upper layer takes the operator's profit as the goal, and combines the lower layer's output plan to dynamically formulate the purchase and sale price of virtual power plants. Particle Swarm Optimization (PSO) is used to solve the game model iteratively. Through the analysis of an example, the model can give consideration to the interests of multiagents, effectively improve the operators' income and reduce the operating cost of virtual power plants.

In the design of highpower directdrive wind turbines, this paper proposes to design axial flux permanent magnet generators as highpower half directdriven wind turbines to address the issues of large radial dimensions and high maintenance costs in the later stage. Taking the 2 MW semi direct drive axial flux permanent magnet generator as the research object, the parameter design principle and method are studied. By exploring the influence of different pole pairs on the output performance of the generator, the optimal scheme of the generator meeting the design goal is determined. The 3D finite element method is used to analyze the air gap flux density, voltage, current waveform, output power, loss and efficiency of the generator under noload and rated load conditions, and verify the correctness of the electromagnetic design of the generator. The efficiency of the generator can reach 97.79%, which has the advantages of low loss and high efficiency. By comparing with generators in the existing research, it is concluded that the radial size of the MW half directdriven axial flux permanent magnet generator proposed in this paper is significantly reduced, and it has better performance than the existing radial flux structure highpower semi direct drive permanent magnet generator in terms of axial dimension and cogging torque.