基于二阶锥规划的含DG与EV配电网分布式发电有功协调方法  

Active Power Coordination Method for Distributed Generation in Distribution Networks with DG and EV Based on Second-order Cone Programming

作　　者：吴杰康[1] 吴志山[1] 林奕鑫 颜少伟 

机构地区：[1]广东工业大学自动化学院,广东广州510006

出　　处：《现代电力》2016年第3期35-42,共8页Modern Electric Power

基　　金：广东自然科学基金项目(S2013010012431;2014A030313509);广西自然科学基金项目(2011jjA60017);广东省公益研究与能力建设专项资金项目(2014A010106026)

摘　　要：分布式电源出力的不确定性与电动汽车充电的随机性给配电网运行效益带来一定的影响。本文根据分布式发电功率和电动汽车充电功率的不确定性,提出了分布式电源出力状态概率模型和电动汽车充电功率状态概率模型,在此基础上形成系统多状态运行空间,建立了含DG和EV配电网分布式发电有功协调模型。以期望的运行成本与期望的停电损失最小为优化目标。利用二阶锥规划,将目标函数和约束条件函数中的非线性形式通过旋转锥转换为线性形式,而新变量间则用特殊结构的锥集表示,从而简化了优化模型。以IEEE14节点的配电系统为例,对所研究的模型与算法进行了验证与分析,获得了较好的效果。The uncertainties in power output of distributed generation （DG） and the randomness of charging power of electric vehicle （EV） bring certain influence on the opera- tion benefit of distribution networks. Based on the uncer- tainties of distributed generation and the charging power of electric vehicle, the state probability models of the power output for distributed generation and the charging power of electric vehicles are built, based on which the multiple state operation space of system is formed, and an active power coordination model for distributed generation in distribution networks with DE and EV. In addition, the minimization of expected operation cost and expected cost of the power loss are taken as the optimization objectives. By using secondorder cone programming, the nonlinear objective function and constraint function are transformed into a linear fun- tions by rotated cone function. Then, the relationship between new variables is expressed as cone sets with special structure instead, which simplify the optimization model. An IEEE14 distribution system is used as example to verify the adaptability of the proposed model and the feasibility of the proposed method.

关 键 词：配电网 分布式发电 电动汽车 有功协调 二阶锥规划 

分 类 号：TM711[电气工程—电力系统及自动化]