Comparative analysis of seven decomposition and coordination algorithms for optimal power flow

被引：0
|
作者：
Wang C. [1 ]
Wei H. [1 ]
Wu S. [1 ]
Yang J. [1 ]
机构：
[1] Guangxi Key Laboratory of Power System Optimization and Energy Technology (Guangxi University), Nanning
来源：
Wei, Hua (weihua@gxu.edu.cn) | 1600年 / Automation of Electric Power Systems Press卷 / 40期
基金：
中国国家自然科学基金;
关键词：
Area partition; Decomposition coordination; Interior point method; Optimal power flow; Parallel computation;
D O I：
10.7500/AEPS20150601002
中图分类号：
学科分类号：
摘要：
Currently, the decomposition-coordination algorithms used in optimal power flow (OPF) lack a unified basis for comparison. For this reason, the seven kinds of decomposition-coordination algorithm are used for solving the same power system so as to get more objective and fair conclusions. The decomposition-coordination optimal power flow algorithms based on the modern interior point theory are divided into 4 categories by using the area partition method, with the model and calculation process of each algorithm briefly described. The 4 categories are the bus splitting method, the overlap boundary method, the boundary-area partition method and the node decomposition method. In order to fully compare and analyze the performance of the 7 algorithms, 2-region 600-bus and 4-region 1200-bus systems are constructed as test cases based on an IEEE 300-bus system. Calculation results are obtained by means of vector programming, and then a comparison of the convergence, calculation speed, the amount of communication and stability is conducted. Finally, based on the MATLAB parallel laboratory, the parallel performance of each algorithm is tested. Test results show that the approximate Newton direction (AND) method has better performance in terms of calculation speed and amount of communication, while the convergence and stability of the decomposition coordination interior point method (DCIPM) is better than the other algorithms. © 2016 Automation of Electric Power Systems Press.
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页码：49 / 57
页数：8
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