文章基本信息

标题：Solving DOPF in VSWGs Integrated Power System Using Improved Evolutionary Programming
本地全文：下载
作者：Chen, Gonggui ; Lei, Hangtian ; Fang, Haibing 等
期刊名称：Journal of Computers
印刷版ISSN：1796-203X
出版年度：2011
卷号：6
期号：3
页码：556-563
DOI：10.4304/jcp.6.3.556-563
语种：English
出版社：Academy Publisher
摘要：Wind turbine can be divided into two categories: fixed speed wind generators (FSWGs) and variable speed wind generators (VSWGs). VSWGs’s bus can be dealt with as PV-bus or PQ-bus in power flow calculation because reactive power compensation can be performed. Dynamic optimal power flow (DOPF) in VSWGs integrated power system is a typical complex multi-constrained non-convex non-linear programming problem when considering the valve-point effect of conventional generators. In this paper, an improved evolutionary programming (IEP) is proposed to solve DOPF in VSWGs integrated power system. In the methodology, the well-known evolutionary programming (EP) is used as a basic level search, which can give a good direction to the optimal global region. Then, a local search (LS) procedure is adopted as a fine tuning to determine the optimal solution. The modified IEEE 30-bus system is used to illustrate the effectiveness of the proposed method compared with those obtained from EP algorithm. In order to verify algorithm effectiveness in more complex power system, IEEE 39-bus system is used test system. It is shown that the proposed method is capable of yielding higher-quality solutions.
关键词：wind power generation;variable speed wind generators;dynamic optimal power flow;improved evolutionary programming