考虑风电功率不确定性的风电场出力计划上报策略  

Wind farm generation schedule strategy considering wind power uncertainty

作　　者：张峰[1] 张鹏 梁军[1] ZHANG Feng;ZHANG Peng;LIANG Jun(Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education,Shandong University,Jinan 250061,China;Linyi Power Supply Company of State Grid Shandong Electric Power Company,Linyi 276003,China)

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,山东济南250061 [2]国网山东省电力公司临沂供电公司,山东临沂276003

出　　处：《电力自动化设备》2019年第11期34-40,共7页Electric Power Automation Equipment

基　　金：国家电网有限公司科技项目(含高比例可再生能源的电网频率协同控制技术研究);山东省自然科学青年基金资助项目(ZR2018QEE005)~~

摘　　要：利用多场景生成的方法对次日风电场出力的不确定性进行描述,并对蓄电池储能和旋转备用的购买机制进行了数学建模,将二者纳入风电场日前收益期望模型中。借鉴当前电力市场的分时电价政策,以风电场日收益期望值最大为目标,提出了风电场上报出力计划的最佳策略。该上报策略通过对风电场历史出力数据的统计分析获得风功率预测误差的分布特性,考虑了风功率预测误差对次日风电场运行经济性的影响,以风电场日运行经济性最优为原则确定了风电场的日前上报功率。算例结果表明,所提上报策略不仅提高了风电场的运行经济收益,还增加了储能的利用效率。The uncertainties of the next day’s wind farm output are described by multi-scenario generation method.Battery storage and spinning reserves purchase mechanisms are modeled and incorporated into the wind farm revenue expectation model.Referring to the current time-of-use price policy for the electricity market and targeting the maximum expected daily income on wind farm,the optimal strategy for the dayahead generation schedule is presented.The reporting strategy is based on the history power data of wind farm.The statistical analysis of the data obtains the distribution characteristics of the wind power prediction error.Considering the influence of the wind power prediction error on the economic performance of the next day wind farm,the day-ahead reporting power of the wind farm is determined based on the optimal economic performance of the wind farm.The example results show that this strategy not only improves the operational economic benefit of wind farm,but also increases the efficiency of energy storage utilization.

关 键 词：风电 场景生成 蓄电池 旋转备用 收益期望 日前出力计划 

分 类 号：TM715.2[电气工程—电力系统及自动化] TM614