Solving non-linear, non-smooth and non-convex optimal power flow problems using chaotic invasive weed optimization algorithms based on chaos

被引：95
|
作者：
Ghasemi, Mojtaba [1 ]
Ghavidel, Sahand [1 ]
Akbari, Ebrahim [2 ]
Vahed, Ali Azizi [1 ]
机构：
[1] Shiraz Univ Technol, Dept Elect & Elect Engn, Shiraz, Iran
[2] Univ Isfahan, Esfahan, Iran
来源：
ENERGY | 2014年 / 73卷
关键词：
OPE problems; Chaotic invasive weed optimization algorithms; Chaos; Hybrid method; ECONOMIC EMISSION DISPATCH; DIFFERENTIAL EVOLUTION ALGORITHM; TEACHING LEARNING ALGORITHM; HYBRID ALGORITHM; REACTIVE POWER; HARMONY SEARCH; PROHIBITED ZONES; SYSTEM; DESIGN; OPF;
D O I：
10.1016/j.energy.2014.06.026
中图分类号：
O414.1 [热力学];
学科分类号：
摘要：
Invasive Weed Optimization (IWO) algorithm is a simple but powerful algorithm which is capable of solving general multi-dimensional, linear and nonlinear optimization problems with appreciable efficiency. Recently IWO algorithm is being used in several engineering design owing to its superior performance in comparison with many other existing algorithms. This paper presents a Chaotic IWO (CIWO) algorithms based on chaos, and investigates its performance for optimal settings of Optimal Power Flow (OPF) control variables of OPF problem with non-smooth and non-convex generator fuel cost curves (non-smooth and non-convex OPF). The performance of CIWO algorithms are studied and evaluated on the standard IEEE 30-bus test system with different objective functions. The experimental results suggest that IWO algorithm holds immense promise to appear as an efficient and powerful algorithm for optimization in the power system. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码：340 / 353
页数：14
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