Minimization of voltage deviation and power losses in power networks using Pareto optimization methods

被引:44
|
作者
Montoya, Francisco G. [1 ]
Banos, Raul [2 ]
Gil, Consolacion [2 ]
Espin, Antonio [4 ]
Alcayde, Alfredo [1 ]
Gomez, Julio [3 ]
机构
[1] Univ Almeria, Dept Rural Engn, La Canada De San Urbano 04120, Almeria, Spain
[2] Univ Almeria, Dept Comp Architecture & Elect, La Canada De San Urbano 04120, Almeria, Spain
[3] Univ Almeria, Dept Languages & Computat, La Canada De San Urbano 04120, Almeria, Spain
[4] Univ Granada, Dept Civil Engn, E-18071 Granada, Spain
关键词
Power distribution network; Voltage regulation; Power losses; Under load tap changers; Multi-objective optimization;
D O I
10.1016/j.engappai.2010.01.011
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Voltage regulation is an important task in electrical engineering for controlling node voltages in a power network. A widely used solution for the problem of voltage regulation is based on adjusting the taps in under load tap changers (ULTCs) power transformers and, in some cases, turning on Flexible Alternating Current Transmission Systems (FACTS), synchronous machines or capacitor banks in the substations. Most papers found in the literature dealing with this problem aim to avoid voltage drops in radial networks, but few of them consider power losses or meshed networks. The aim of this paper is to present and evaluate the performance of several multi-objective algorithms, including hybrid approaches, in order to minimize both voltage deviation and power losses by operating ULTCs located in high voltage substations. In particular, a well-known multi-objective algorithm, PAES, is used for this purpose. PAES finds a set of solutions according to Pareto-optimization concepts. Furthermore, this algorithm is hybridized with simulated annealing and tabu search to improve the quality of the solutions. The implemented algorithms are evaluated using two test networks, and the numerical results are analyzed with two metrics often used in the multi-objective field. The results obtained demonstrate the good performance of these algorithms. (C) 2010 Elsevier Ltd. All rights reserved.
引用
收藏
页码:695 / 703
页数:9
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