主动配电网源–荷–储分布式协调优化运行(二):考虑非理想遥测环境的一致性算法  

Source-load-storage Distributed Coordinative Optimization of ADN(Part Ⅱ): Consensus Algorithm Considering Non-ideal Telemetering Network

作　　者：徐熙林 宋依群[1] 姚良忠 严正[1] XU Xilin;SONG Yiqun;YAO Liangzhong;YAN Zheng(Key Laboratory of Control of Power Transmission and Transformation, Ministry of Education （Department of Electrical Engineering, Shanghai Jiao Tong University）, Minhang District, Shanghai 200240, China;China Electric Power Research Institute, Haidian District, Beijing 100192, China)

机构地区：[1]电力传输与功率变换控制教育部重点实验室(上海交通大学电气工程系),上海市闵行区200240 [2]中国电力科学研究院有限公司,北京市海淀区100192

出　　处：《中国电机工程学报》2018年第11期3244-3254,共11页Proceedings of the CSEE

基　　金：国家重点研发计划项目(2016YFB0900105)~~

摘　　要：为实现主动配电网源–荷–储分布式协调优化,提出一种完全分布式协调的鲁棒一致性算法。在主动配电网完全分布式控制模式下,通过智能体间信息交互,采用一致性算法完成迭代计算,使得主动配电网内各源、荷、储的边际成本或边际效益趋于一致,以实现源–荷–储运行的分布式优化。首先,考虑非理想的遥测通信环境,针对遥测过程中可能出现的量测误差、遥测信道干扰、遥测数据传输时延等问题,提出基于增益调整函数的鲁棒一致性协调算法,并证明该算法的均方差一致收敛性。同时,算法通过引入功率调整项实现系统有功功率缺额的实时检测,使各项运行约束条件得以满足;通过基于节点重要度改进的状态转换矩阵缩短收敛时间,提高响应速度。最终,算例仿真验证该一致性算法的有效性。Aiming at the completely distributed control mode and the source-load-storage coordinative optimization model of active distribution network （ADN）, a distributed robust consensus algorithm was proposed. The incremental costs or profits of the distributed generators and loads converge to unanimous state, thus the cost of ADN was minimized. In this method, non-ideal communication network was considered. To cope with the problem of measurement errors, noises and transmission delays, the consensus gain function was introduced to help the algorithm reach mean square consensus. Meanwhile, the adjustment term was introduced to meet the equality constraints. By setting the node weight coefficient matrix of consensus algorithm, the convergence speed improved. Finally, simulation results show the effectiveness of the proposed method.

关 键 词：高比例可再生能源 主动配电网 一致性算法 分布式协调 非理想遥测环境 

分 类 号：TM71[电气工程—电力系统及自动化]