| In order to achieve the "double carbon" goal,renewable energy sources such as wind power and photovoltaic need to achieve leapfrog development in the next 30 years,posing great challenges for the safe,economic and low-carbon operation of the power system.Renewable energy such as solar energy is connected to the distribution network,which aggravates the voltage fluctuation and network loss of the distribution network.Therefore,the configuration of energy storage system and reactive power compensation device has become an important measure to absorb renewable energy and improve the voltage stability and economy of the distribution network.Firstly,this paper analyzes the influence of wind and light access to the distribution network on the voltage and network loss of the distribution network.Energy storage access to the distribution network can effectively smooth the fluctuation of wind-wind-grid output,and the configuration of a certain capacity of energy storage can effectively reduce the adverse effects of wind-wind-grid connection.In order to utilize the potential of energy storage to regulate the distribution network,the optimal allocation of energy storage in the distribution network was studied.Then,analyze the current distribution network planning optimization algorithm,in order to improve the traditional global exploring ability is weak,the Wolf algorithm optimization problem such as slow speed,a niche particle swarm based on the introduction of technology to enhance particle diversity,improve self-regulation,at the same time,introducing chaos mutation technique to improve the global space exploration ability,put forward based on the technique of particle group of habitat improved multi-objective gray Wolf algorithm(MPSWO).Two standard test functions are used to simulate the proposed MPSWO algorithm.The results show that the proposed algorithm is scientific and efficient,and is suitable for models of various dimensions and complexity.Then,the network loss and the investment cost of the whole life cycle of energy storage were taken into consideration in the planning and configuration of the energy storage system,and the economic index of voltage offset was considered comprehensively.Then,the optimal configuration model of the distribution network with landscape was established.The proposed MPSWO algorithm is applied to the multi-objective optimization problem of optimal energy storage configuration,aiming at minimizing the comprehensive cost and voltage deviation,and enhancing the performance of the distribution system.Based on the improved IEEE33 node,the optimal energy storage configuration of the distribution network with scenery is solved and calculated,and the capacity and location of the energy storage configuration are determined.The results show that the method and model proposed in this paper can reduce the network loss and improve the stability of the grid voltage.Finally,with the aim of minimizing the consumption of renewable energy,network loss and voltage deviation,and considering the economic and technical factors of the distribution network,an optimization model of distribution network active and reactive power coordination with wind-optic-storage was established.The multi-objective MPSWO algorithm mentioned in Chapter 3 was used to optimize the model.To prove the universality and extensibility of the proposed algorithm,three standard test systems,namely IEEE 33,69 node distribution networks,were used.The simulation results show that the proposed MPSWO algorithm can effectively find the optimal solution of the problem,further improve the economic operation level,improve the reliability of power supply,enhance the access ratio of renewable energy and the flexibility of power supply regulation. |
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