计及随机因素的商业型虚拟发电厂短期交易与优化运行策略  

Short-Term Trading and Optimal Operation Strategy for Commercial Virtual Power Plant Considering Uncertainties

作　　者：马春艳[1] 董春发 吕志鹏[1] 段青[1] 王坤宇 艾欣 李玉凌[1] 

机构地区：[1]配电变压器节能技术北京市重点实验室(中国电力科学研究院),北京市海淀区100085 [2]新能源电力系统国家重点实验室(华北电力大学),北京市昌平区102206

出　　处：《电网技术》2016年第5期1543-1549,共7页Power System Technology

基　　金：国家电网公司科技项目(EPRIYDKJ(2014)3317号);中国电力科学研究院青年基金项目(PD84-15-002)~~

摘　　要：作为分布式能源的有效聚合形式,虚拟发电厂及相关技术正得到越来越多的关注。计及可再生能源出力的不确定性和需求侧资源的参与,建立了由小型风电场、激励型需求侧响应可中断负荷、抽水蓄能电站和燃气轮机组成的商业型虚拟发电厂模型,采用多场景法处理日前市场电价和风电出力的不确定性,以其在日前市场的竞标利润和平衡市场受到的奖惩的期望和最大为目标进行短期交易的优化。为增加虚拟发电厂的确定性收益,考虑了随机变量确定性随决策时间的推进而逐渐增加的影响,将目前广泛应用的两阶段随机规划模型改进为多阶段随机规划模型。算例结果验证了改进模型的有效性,并通过对比分析证明该模型可显著提高虚拟发电厂的确定性收益。As an efficient form of aggregating distributed energy resources,virtual power plant（VPP） attracts increasingly extensive attentions.Considering power output uncertainty of renewable energy sources and participation of demand response resources,a commercial virtual power plant（CVPP） model,consisting of a wind power plant,interruptible loads,a pumped storage plant and a gas turbine,is built.Multi-scenario method is used to deal with uncertainty of day-ahead market price and power output of wind power plant.A short-term trading model is constructed with objective of CVPP bidding profit maximization.In order to increase certainty gain of CVPP,a multi-stage stochastic programming model is built based on widely used two-stage model,considering the influence that certainty of stochastic variables increases when decision-making time approaches.It is verified that the model could notably increase certainty gain of CVPP.

关 键 词：随机规划 商业型虚拟发电厂 短期交易 优化运行 配电网 能源互联网 

分 类 号：TM73[电气工程—电力系统及自动化]