含微网的配电网动态随机调度控制

PDF全文下载：2016030339

苏欣1,2， 潘志远3， 麻常辉4， 刘超男3， 杨冬3， 杨明2

（1.国网济南供电公司，山东 济南250012；2.山东大学电网智能化调度与控制教育部重点实验室，山东 济南250061；3.国网技术学院，山东 济南250002；4.国网山东省电力公司电力科学研究院，山东 济南250002）

摘要： 未来微网会逐步接入配网，直接影响配网运行的安全性与经济性，现有控制方法以微网计划运行成本最小为目标，没有考虑配网安全性与经济性。为此，提出综合考虑微网与配网计划运行成本最小的动态随机调度控制方法。首先分别建立微网和配网期望计划运行成本最小的机会约束规划模型，采用粒子群优化算法和两点估计法求解；再根据微网和配网分别优化结果得到的二者之间功率交换控制区间，利用粒子群优化算法寻找二者综合期望计划运行成本最小的功率交换值，从而确定微网和配电网的最优动态随机调度控制方案；最后验证了改进的IEEE33节点标准系统算法的实用性。

关键词： 配电网； 微网； 动态随机调度控制； 机会约束规划； 两点估计法

中图分类号：TM 73文献标志码：A

Dynamic Stochastic Dispatching with MicroGrid in Distribution Network

SU Xin1,2， PAN Zhiyuan3， MA Changhui4， LIU Chaonan3， YANG Dong3， YANG Ming2

(1.Jinan Power Supply Company, Shandong Electric Power Corporation, Jinan 250012, China；2.Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education, Shandong University,Jinan 250061, China； 3.State Grid of China Technology College, Jinan 250002, China；4.Electric Power Research Institute, State Grid Shandong Electric Power Company, Jinan 250002, China)

Abstract: The more and more microgrids (MGs) will be in distribution network in the future. The MGs will directly influence the safety and economy of distribution network. The objectives of proposed methods are to minimize the operation cost and did not consider the safety and economy of distribution network. Thus this paper proposes a dynamic stochastic dispatching control methods and the objective include the operation for the distribution network too. Firstly the chance constrained programming model for the minimum operation cost of MGs and the distribution network are independently established. The particle swarm optimization (PSO) method and two point estimation method (TPEM) are used to solve the model. Then the power exchange interval between MGs and distribution network are obtained. The power exchange values are calculated by PSO method and the optimum dynamic stochastic dispatching control schemes are obtained. Finally, the improved IEEE33 node distribution network validates the practicality of the proposed algorithm.

Key words:  distribution network; micro grid; dynamic stochastic dispatching control; chance constrained programming; two point estimation method

收稿日期：20150527

基金项目： 国家自然科学基金项目（51007047）.

作者简介： 苏欣(1989—)，男，工程师.

文章编号：16726987（2016）03033906； DOI： 10.16351/j.16726987.2016.03.019