A Grid Electrochemical Energy Storage Siting And Capacity Planning Considering Renewable Generation Uncertainty

The large-scale integration of renewable energy with randomness and volatility into the power grid has a serious impact on the safe and stable operation of the power grid.Energy storage is characterized by fast response and flexibility,which can provide a variety of auxiliary services for the power grid,and can also absorb a high proportion of renewable energy.In recent years,the cost of energy storage has dropped rapidly,and the application of energy storage technology in the power grid has been widely favored by researchers at home and abroad.Firstly,the paper analyzes the demand for energy storage based on the actual situation of Zhejiang Power Grid.The energy storage demand analysis model is studied by studying the application of energy storage in peak shaving and valley filling,smoothing renewable energy output and microgrids.According to the actual situation of energy storage applied to the power grid,the investment cost and economic benefits of energy storage into the power grid are analyzed.The investment cost mainly includes the initial investment cost and annual operational cost of energy storage.The economic benefits of energy storage mainly include the cycle life of energy storage,reducing line loss,direct income,indirect income,government subsidies and improving power supply reliability.In addition,the paper also gives five application cases of energy storage in the actual power grid.Secondly,a method of energy storage siting and capacity planning for distribution network considering safety constraints is proposed which considers the problem of energy storage siting and capacity from the perspective of planning,and the reliability and economy of energy storage system integration into the power grid,In this paper,an optimized model of minimize the summation of energy storage investment costs and operational costs is established,and use an optimized yalmip toolkit based on matlab platform to solve the optimized model.Then,the renewable generation uncertainty is considered based on the above research.The double-layer optimization algorithm is used to optimize the energy storage siting and capacity.The outer layer adopts the branch and bound method to determine the location of the energy storage,and the inner layer uses the genetic algorithm to obtain the optimal capacity configuration and the charge or discharge operation strategy.The optimization problem is solved using matlab simulation software to verify the correctness and computational efficiency of the proposed method and the paper shows the performance of the proposed approach using the IEEE 39 bus test system.The results show that the proposed method can finally determine the optimal placement of the energy storage system of the distribution network and the energy storage capacity and power at each location,which also meets economic rationality to make the total cost of the entire distribution network system lowest.The battery energy storage can be used to realize the peak shaving and valley filling when the load peak-to-valley difference of the distribution network is large,and which can solve the problem of absorbing large-scale renewable energy and high energy storage investment cost and operational cost,and improves the overall economics of the power distribution system.Accessing the energy storage system in the power grid can reduce network loss to a certain extent and save energy storage investment costs.Finally,according to the research content and research results of this paper,the shortcomings of this paper are presented,and the research contents that can be done in the next step are expected.