A novel meta-heuristic optimization methodology for solving various types of economic dispatch problem

被引:112
作者
Fesanghary, M. [1 ]
Ardehali, M. M. [2 ]
机构
[1] Louisiana State Univ, Dept Mech Engn, Baton Rouge, LA 70808 USA
[2] Amirkabir Univ Technol Tehran Polytech, Energy Res Ctr, Dept Elect Engn, Tehran 158754413, Iran
关键词
Economic dispatch; Harmony search algorithm; Sequential quadratic programming; Optimization; Power generation; PARTICLE SWARM OPTIMIZATION; PROHIBITED OPERATING ZONES; HARMONY SEARCH ALGORITHM; LOAD DISPATCH; GENETIC ALGORITHM; ENGINEERING OPTIMIZATION; GENERATOR CONSTRAINTS; COST-FUNCTIONS;
D O I
10.1016/j.energy.2009.02.007
中图分类号
O414.1 [热力学];
学科分类号
摘要
The increasing costs of fuel and operation of thermal power generating units warrant development of optimization methodologies for economic dispatch (ED) problems. Optimization methodologies that are based on meta-heuristic procedures could assist power generation policy analysts to achieve the goal of minimizing the generation costs. In this context, the objective of this study is to present a novel approach based on harmony search (HS) algorithm for solving ED problems, aiming to provide a practical alternative for conventional methods. To demonstrate the efficiency and applicability of the proposed method and for the purposes of comparison. various types of ED problems are examined. The results of this study show that the new proposed approach is able to find more economical loads than those determined by other methods. (C) 2009 Elsevier Ltd. All rights reserved.
引用
收藏
页码:757 / 766
页数:10
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