Research On Multi-point Layout Technology Of Energy Storage System In Receiving Power Grid

China's renewable energy resources are mainly distributed in the “Three North Regions”.The energy resources are abundant,far exceeding their own needs,and the winds are abandoned.The load demand is mainly concentrated in the central and eastern regions.The demand for large-capacity long-distance energy transmission has existed for a long time.Large-scale volatility and random clean renewable power supplies are fed into the receiving power grid.Large-scale flexible energy storage facilities are needed to realize the spatio-temporal translation of energy,and the integration of renewable energy such as strong volatility and poor controllability Dissipate the problem.However,different nodes and capacities and different number of energy storage systems have different adaptability to each function.Therefore,the access location,number of choices,and capacity configuration are urgent problems to be solved.In this thesis,the application function of energy storage is combined with economy,and a mathematical model of optimal planning of energy storage system in the receiving power grid is constructed.The particle swarm optimization algorithm is used to maximize the comprehensive benefits brought by the investment in energy storage system.Optimized and verified by the influence of different energy storage nodes and different unit capacity costs.The main contents of this thesis include:Firstly,the influence of wind power grid-connected on the receiving power grid is briefly analyzed.The technical indicators and applicable scope of the relevant battery energy storage system are selected for comprehensive comparison.The lithium iron phosphate battery with high safety,large capacity and low cost is identified as the thesis.The type of energy storage used for the simulation.Considering the full life cycle cost of the battery energy storage system,the energy storage to delay the efficiency of power grid upgrade and transformation,improve the efficiency of wind power consumption,and reduce the emission cost of conventional thermal power units,the goal is to maximize the comprehensive benefits of the energy storage system in the end power grid.A mathematical model for optimal planning of multi-point layout energy storage systems.Then select the particle swarm algorithm which is suitable for the simulation work in this thesis,analyze its solution flow and set the simulation parameters.The mathematical model is simulated and calculated on the IEEE 14-node simulation example.By optimizing the location and capacity of the energy storage system,the number of energy storage access nodes,and the charging and discharging power sequence,the number of different access nodes of the energy storage system is compared and analyzed,and the energy storage system location and capacity calculation scheme is determined.Then it is demonstrated that the simulation model can realize the application functions of the energy storage system in the receiving power grid to participate in peak shaving,delay the upgrade of the line,improve the acceptance of wind power,reduce the environmental cost,and verify that the model can combine the energy storage function with the economy.Finally,the influence of the unit capacity cost and the number of nodes in the energy storage system on the multi-point layout scheme of the energy storage system is further analyzed.After the simulation,it is found that reducing the unit cost of the energy storage system can make the objective function better.The simulation results show that The optimization of the model through multi-point layout energy storage can not only reduce the adverse impact of the wind power grid on the receiving end grid,but also maximize the comprehensive benefits of the multi-point layout energy storage system,and obtain the optimal site selection and capacity setting scheme.The validity and feasibility of the model are further verified.