一种基于微电网需求响应的竞价策略中心模型

江 叶峰
国家电网江苏省电力公司电力调控控制中心

摘要

由于风力发电和光伏发电的不确定性和有限的可预测性，这些参与大多数电力市场的资源在市场结算期间会受到重大偏差处罚。为了平衡不可预测的风力和光伏功率变化，系统运营商需要安排额外的储备。本文提出了风电和光伏能源的最优综合参与模型，包括需求响应模型、存储设备模型、可调度的分布式发电模型（微电网或虚拟微电网），以增加其在市场内的收益。该市场在交付时间前3-7 小时考虑，以便更新合同能源量，以减少微电网的发电偏差。在制定微电网生产商和负荷的投标策略时，考虑了一种随机规划方法。该优化模型的特点是对多个情景进行分析，同时处理风电和光伏发电、市场内部和不平衡价格三种不确定性。为了预测这些不确定性变量，采用了基于神经模糊的方法。历史数据用于预测未来价格以及调整市场中的风电和光伏发电产量。同时，考虑了基于预测误差和真实历史数据的概率方法，对风电和光伏发电未来的即时电价和不平衡电价进行了估算。

关键词

市场竞价策略；储能微电网；需求响应

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