Distributed Optimization Scheduling Method for Microgrid Cluster Based on Distributed Newton Method

被引：0
|
作者：
Chen G. [1 ]
Yang Y. [4 ]
Yang X. [1 ]
Wang Z. [2 ,3 ]
Wu W. [2 ,3 ]
机构：
[1] State Grid Jiangsu Electric Power Company, Nanjing
[2] Department of Electrical Engineering, Tsinghua University, Beijing
[3] State Key Laboratory of Control and Simulation of Power System and Generation Equipments, Tsinghua University, Beijing
[4] State Grid Jiangsu Electric Power Research Institute, Nanjing
来源：
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2017年 / 41卷 / 21期
基金：
中国国家自然科学基金;
关键词：
Consensus algorithm; Distributed optimization; Microgrid; Newton method;
D O I：
10.7500/AEPS20170313007
中图分类号：
学科分类号：
摘要：
Integrated together in a self-organized manner, a cluster of microgrids can be connected to the active distribution grid as an autonomous entity, which significantly enhances reliability and reduces operation cost. This paper presents a fully distributed method for optimal operation of microgrid clusters without central coordination. Based on peer-to-peer communication, microgrids need only exchange information between neighbors over a sparse communication network and hence the very light communication burden. By combining the Newton-type second-order algorithm and a consensus-based information exchange, the method can achieve minimum operation cost through a few iterations. Simulation results indicate that the method has faster convergence rate than a first-order algorithm. Besides, the influences of communication networks are also discussed in numerical tests to show the method is reliable, scalable and flexible over centralized schemes. © 2017 Automation of Electric Power Systems Press.
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页码：156 / 162
页数：6
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