基于双层模糊机会约束规划的虚拟电厂优化调度  

Optimal Dispatch of Virtual Power Plant Based on Bi-Level Fuzzy Chance Constrained Programming

作　　者：段翩 朱建全[1] 刘明波[1] 

机构地区：[1]华南理工大学电力学院,广州510640

出　　处：《电工技术学报》2016年第9期58-67,共10页Transactions of China Electrotechnical Society

基　　金：国家重点基础研究发展(973)计划(2013CB228205);国家自然科学基金(51307064);高等学校博士学科点专项科研基金(20130172120044);广东省自然科学基金(S2013040015586)资助项目

摘　　要：提出了一种基于双层模糊机会约束规划的虚拟电厂优化调度方法。首先,通过虚拟电厂对分布式电源和主动负荷进行整合;其次,在电价激励机制下,利用双层机会约束规划描述电网与虚拟电厂的互动机理,并对碳排放成本、电动汽车的充放电成本、空调的舒适度效益、电网与虚拟电厂的供需不平衡成本等进行详细分析;进一步利用模糊参数描述分布式新能源发电和负荷的不确定性,由此建立基于双层模糊机会约束规划的虚拟电厂优化调度模型;接着,综合利用支持向量回归、模糊模拟、清晰等价类方法将所提模型的模糊机会约束条件转换为确定性条件,并结合模式搜索算法和人工蜂群算法进行求解;最后,通过算例验证了所提方法的有效性。An optimal dispatch method of virtual power plant based on the bi-level fuzzy chance constrained programming is proposed in this paper. Firstly,the distributed power plants and the active loads are integrated in the form of the virtual power plant. Secondly,based on the price incentive mechanism,the interaction between the electric network and the virtual power plant is described by the bi-level chance constrained programming. The emission costs of carbon, the charge and discharge costs of electric vehicles, the comfort benefits of air conditioning,and the imbalance costs of the electric network and the virtual power plant are also analyzed in detail. Thirdly,the uncertainty of the distributed new energy power plants and the loads are further described with fuzzy parameters. Then a bi-level fuzzy chance constrained programming model for the optimal dispatch of the virtual power plant is formed. For translating the fuzzy chance constrains into the deterministic constrains,the support vector regression,the fuzzy simulation,and the crisp equivalent forms are utilized simultaneously. Then it is solved by combining the pattern search algorithm with the artificial bee colony algorithm. The case study verifies the effectiveness of proposed method in the end.

关 键 词：分布式发电 主动负荷 不确定性 虚拟电厂 模糊机会约束规划 

分 类 号：TM732[电气工程—电力系统及自动化]