区域风电场群储能电站的优化配置及运行策略  

Size Optimization and Operating Strategies for Battery Energy Storage Station in Adjacent Wind Farms

作　　者：张峰[1,2] 张熙[1] 张利[1] 苗骁健 杨立滨[3,4] 梁军[1] 

机构地区：[1]山东大学电网智能化调度与控制教育部重点实验室,济南250061 [2]山东大学山东省电动汽车工程实验室,济南250061 [3]国网青海省电力公司电力科学研究院,西宁810003 [4]青海省光伏发电并网技术重点实验室,西宁810003

出　　处：《电工技术学报》2016年第14期49-57,共9页Transactions of China Electrotechnical Society

基　　金：国家自然科学基金(51307101;51177091);山东省优秀中青年科学家科研奖励基金(BS2013NJ011)资助项目

摘　　要：风电场群的空间规模效应使其自身具备波动平滑调节能力,由此使得区域风电场群中配置电池储能电站(BESS)具备理论可行性。基于此,分析了区域风电场群配置BESS的运行形态和工作模式,指出当前规模的BESS可参与功率波动平抑和适度的电网调峰。基于构建BESS充放电策略,提出了以运营成本最小为目标的成本优化模型,由此确定风电场群最佳BESS容量配比。同时,利用风功率出力波动的季节性规律差异,探讨BESS在低风电出力季节参与电网调峰的可行性,提出了以实时运行效益最大为目标的BESS运行策略,使其在该目标下根据风电出力季节性差异调整运行模式。利用风电场实际运行数据验证该方法,计算结果表明所提BESS优化运行策略的有效性和可行性。Due to the spatial scale effect, battery energy storage station （BESS） in adjacent wind farms has advantages in capacity and investment compared with the distributed energy storage systems. Besides, BESS has centralized supervisory control, which bears higher controllability when participating in dispatching and control. Therefore, this paper analyzes the operation pattern and working mode of BESS. It is shown that the current BESS scale can participate in the fluctuation smoothing and peak shaving in power grid. After that, the cost optimization mathematical model is set up based on charging and discharging strategy, to minimize the sum of operating cost. So the optimal BESS capacity can be determined. According to the seasonal differences of wind power outputs, the BESS operating strategy for fluctuation smoothing and peak shaving has been discussed. Taken the maximal benefit of real time operation as the target, the optimal operating model has been built. Thus BESS can adjust the operating mode in accordance with the wind power output differences. The actual wind power data show that this method can optimize the capacity and operating strategy of BESS, and has high feasibility.

关 键 词：风电场群 电池储能电站 优化 容量 运行 

分 类 号：TM614[电气工程—电力系统及自动化]