含电池储能风电场的发电系统风险评估  

RISK ASSESSMENT OF GENERATION SYSTEMS OF WIND FARM WITH BATTERY ENERGY STORAGE

作　　者：蒋程[1] 刘文霞[1] 张建华[1] 俞悦[2] 余加喜[2] 刘德先[2] 

机构地区：[1]华北电力大学新能源电力系统国家重点实验室,北京102206 [2]海南电网公司,海口570203

出　　处：《太阳能学报》2014年第2期207-213,共7页Acta Energiae Solaris Sinica

基　　金：国家高技术研究发展(863)计划(2012AA050201)

摘　　要：考虑风电机组的功率特性和故障率等因素建立单个风机的停运模型,结合风速的自回归滑动平均模型和风电场尾流效应的影响建立风电场的可靠性模型;考虑电池储能的充放电约束、容量约束和故障率建立电池储能系统的可靠性模型,在此基础上,结合风电场不同调度策略建立含电池储能风电场的可靠性模型。考虑常规机组的随机故障和负荷的随机波动,基于序贯蒙特卡洛方法建立含电池储能风电场的发电系统风险评估模型,并给出评估指标。在Matlab中编写相关评估程序,通过对IEEE-RTS 79算例进行仿真,从风险管控方面给出能降低系统风险的电池储能充放电约束、电池储能电量和风电场调度策略,为风电场用电池储能系统的设计和风能调度策略的选取提供重要参考。The outage model of wind turbine was built by considering the failure rate and power characteristics of wind turbine, and the reliability model of wind farm was established by combining ARMA and wake effects of wind speed in the wind farm. The reliability model of battery energy storage system was built by considering the charging and discharging constraints, capacity constraints and forced outage rate of the battery energy storage, and the reliability model of wind farm and battery energy storage was established based on the combination of different scheduling strategies of wind farms. Taking account into the conventional generation unit outage and load random fluctuations, the risk assessment model of generation system with wind power and battery energy storage was established based on sequential Monte Carlo method, and meanwhile the assessment indicators were given. The assessment programs were written in Matlab, and simulation of the IEEE-RTS 79 examples was carried out. From which an acceptable strategy for wind farm operation and energy storage for system operators and optimal capacity of energy storage capacity was illustrated, and some valuable information for battery energy storage system design and wind power scheduling was provided.

关 键 词：序贯蒙特卡洛仿真 风险评估 发电系统 电池储能 风电 

分 类 号：TM71[电气工程—电力系统及自动化]