曾鸣;薛松;朱晓丽;段凯彦;张戈;

• 1:华北电力大学经济与管理学院

摘要(Abstract)：

实现电源侧可再生能源的规模化并网,提高用户的需求侧响应,提高能源利用效率是未来实现电力系统低碳发展的重要举措。构建了考虑可再生能源大规模并网和用户基于电价需求响应不确定的长期、中期和短期市场均衡模型,建立了考虑环境成本的社会福利最大化目标函数,实现发电环境成本的内部化。同时,引入混沌量子遗传算法对模型进行求解,得到了电力市场均衡情况下达到社会福利最大化时常规能源电厂和可再生能源电厂的发电容量情况,以及相关税收、补贴政策的搭配组合。最后,研究了市场条件及存在最高限价条件下可再生能源并网对社会福利的影响,验证了所构建模型和引入算法的可行性和合理性。

关键词(KeyWords)： 可再生能源;需求响应;低碳电力市场;社会福利;混沌量子遗传算法

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金项目(70671041,70771039);; 美国能源基金会项目(G-1006-12630,G-1108-14658);; 国家电网公司科技项目(KJ-2010-26)~~

作者(Author): 曾鸣;薛松;朱晓丽;段凯彦;张戈;

Email:

DOI: 10.13335/j.1000-3673.pst.2012.12.003

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