Research On Battery Energy Storage System Configuration Oriented To Different Sections Of Power System

Due to the characteristics of quick charging/discharging,large storage capacity,and flexible installed locations,the battery energy storage system(BESS)plays a significant role in meeting diverse energy storage application needs of power system.BESS configuration is the precondition and key of the applications of BESS in power system.The BESS can be flexibly installed at the power supply side,transmission grid side,distribution grid side,and load side of power system.Thus,the research on BESS configuration oriented to the power generation section,power transmission section,power distribution section,and power utilization section of power system is conducted in this paper.Also,the characteristics and rules of BESS configuration are explored to provide theoretical support and method reference for the applications of BESS within power system.The main achievements are as follows:(1)The configuration method of BESS which is used to track the allowable output power ranges of wind farms is proposed.Given the preadjustment of the state of charge(SOC)of BESS,an operation strategy of BESS can be built carefully to track the allowable output power ranges of wind farms in this method.Meanwhile,the cost-benefit analyses of BESS considering its cycle life characteristics are conducted.Based on the partitioned SOC of BESS,an operation strategy of BESS is put forward to track the allowable output power ranges of wind farms,which considers the preadjustment of the SOC of BESS.In view of BESS cycle life characteristics,a configuration model of BESS is developed,whose objective is to minimize the annual comprehensive cost of BESS.The constraint of the dispatchable confidence level of wind farms is introduced to quantify the control effect of the hybrid wind and storage system to track the allowable output power ranges of wind farms.An improved particle swarm optimization algorithem which is embedded with the memory tables of feasible particles and infeasible particles is adopted to solve the developed model.(2)The configuration method of energy storage systems(ESS)which is used to promote the coordinated operation of multi-type power sources is proposed.The operation and cost charateristics of thermal peak-shaving power,hydroelectric power,electric power input from external regions,pumped-hydro energy storage,and BESS can be modeled meticulously in this method.Meanwhile,the impacts of the uncertainties of wind and photovoltaic power generation on BESS configuration schemes could be considered.The operation and cost models of thermal peak-shaving power,hydroelectric power,electric power input from external regions,pumped-hydro energy storage,and BESS are established.The pattern of increasing system reserve requirements is adopted to deal with the uncertainties of wind and photovoltaic power generation.A configuration model of ESS is established for the minimal annual comprehensive cost of power system.The constraints include the constraint on the minimum number of units in operation for key power plants,the constraint on the daily generating capacity of hydroelectric plants,the reserve power constraint of pumped storage power plants,and the reserve power constraint of BESS.(3)The configuration method of BESS which is used to reduce the peak load of the power distribution system of industrial parks is proposed.The method can consider the effects of the annual peak load limit,the interruptible load(IL),and the uncertainty of photovoltaic power generation on BESS configuration schemes,comprehensively.A peak-shaving operation strategy is built for the power distribution system of industrial parks which contains photovoltaic power generation,BESS,and IL.The clustering method and index-selection method are utilized to determine the annual stochastic and extreme output power scenarios of photovoltaic power generation,respectively.A configuration model of BESS is developed,which takes account of the compensation cost of IL,the benefit of postponing network updates,the benefit of reducing the installed capacity of peak-shaving power sources,and so on.The model is to minimize the annual expected comprehensive cost of both BESS and IL.The peak load constraint is introduced to ensure the peak-shaving effect of the power distribution system of industrial parks.(4)The configuration method of BESS which is used to improve the load characteristics of large industrial and commercial users with photovoltaic power generation is proposed.The method can take account of the impacts of the demand management,the uncertainty of photovoltaic power generation,and the BESS cycle life characteristic on BESS configuration schemes,comprehensively.The multi-scenario technology is employed to handle the uncertainty of photovoltaic power generation.A bi-level configuration model of BESS is developed.In view of BESS cycle life characteristics,the upper optimization model is to maximize the annual expected net benefit of BESS.The lower optimization model aims at minimizing the daily operation cost of the users.The virtual daily demand charge is introduced in the objective function of the lower model to consider the influences of BESS on reducing the daily peak load.Analyses on an actual wind farm,an actual regional power grid,an actual power distribution system of industrial parks,and an actual large industrial user with photovoltaic power generation,verify the feasibility and effectiveness of the research results in this dissertation.