多虚拟电厂日前鲁棒交易策略研究Robust Day-Ahead Trading Strategy for Multiple Virtual Power Plants
周博;吕林;高红均;刘俊勇;陈庆攀;谭心怡;
摘要(Abstract):
随着市场改革逐步深入,大量社会资本涌入售电侧展开激烈竞争,未来电力市场交易必然存在多个虚拟电厂参与的格局,且各虚拟电厂内部风电等清洁能源存在不确定性,基于此,构建了多虚拟电厂非合作动态博弈日前市场优化交易模型。各主体充分考虑需求响应和电动汽车等为运行约束,采用市场模拟出清来表征其他虚拟电厂对自身决策的作用关系,并通过库恩-塔克(Karush-Kuhn-Tucker,KKT)条件等值表达,以收益最大化为目标制定最优竞标方案。此外,考虑虚拟电厂内部可再生能源出力不确定性以及控制对象的调节能力,将确定性竞标模型扩展为两阶段鲁棒优化模型,并通过列约束生成算法对主子问题进行交替求解,其中子问题中利用强对偶理论及Big-M法对max-min模型进行对偶并线性化处理。最后通过对整合不同分布式能源的多虚拟电厂系统进行算例分析,为虚拟电厂市场交易提供思路和参考。
关键词(KeyWords): 多虚拟电厂;电力市场交易;博弈论;鲁棒优化
基金项目(Foundation): 国家自然科学基金项目(51377111);; 中央高校基本科研业务费专项资金资助(YJ201750)~~
作者(Author): 周博;吕林;高红均;刘俊勇;陈庆攀;谭心怡;
Email:
DOI: 10.13335/j.1000-3673.pst.2018.0287
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