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Solving economic load dispatch problems using chaotic self-adaptive differential harmony search algorithm

INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS 2015年第5期25卷 845-858页

作者： Rajagopalan, Arul Sengoden, Velusami Govindasamy, Ravi Annamalai Univ Dept Elect Engn Annamalainagar 608002 Tamil Nadu India Pondicherry Engn Coll Dept EEE Pondicherry 605014 India

In this paper, two improved differential harmony search algorithms called self-adaptive differential harmony search (SADHS) algorithm and chaotic SADHS (CSADHS) algorithm are proposed to solve economic load dispatch problems with valve-point effect, ramp-rate limits, prohibited operating zones, and multiple fuel options. The effectiveness and suitability of the proposed algorithms are demonstrated on test systems consisting of 13, 15, and 40 generating units with valve-point effect and 10 generating units with multiple fuel options and valve-point effect. The simulation results obtained by the proposed algorithms are compared with the results obtained using DHS and with the results of other methods reported in the literature. The solution obtained by the proposed CSADHS algorithm is found to be better than the other methods in terms of solution quality. In terms of convergence speed and computation time, the proposed CSADHS algorithm is better than DHS and the other proposed SADHS algorithms. Copyright (c) 2014 John Wiley & Sons, Ltd.

关键词： economic load dispatch self-adaptive differential harmony search algorithm chaotic self-adaptive differential harmony search algorithm

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Solving Optimal Power Flow Problems Using chaotic self-adaptive differential harmony search algorithm

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ELECTRIC POWER COMPONENTS AND SYSTEMS 2013年第8期41卷 782-805页

作者： Arul, R. Ravi, G. Velusami, S. Annamalai Univ Dept Elect Engn Annamalainagar 608002 Tamil Nadu India Pondicherry Engn Coll Dept Elect & Elect Engn Pondicherry India

Optimal power flow is the basic tool that allows an electric utility to determine the economic and secure operating conditions of an electric power system. This article presents a chaotic self-adaptive differential harmony search algorithm to solve optimal power flow problems with non-smooth and non-convex cost functions. The searching capacity of the proposed chaotic self-adaptive differential harmony search algorithm has been improved by introducing a chaotic self-adaptive differential mutation operator instead of a pitch adjustment operator in the harmony search algorithm. The effectiveness of the proposed chaotic self-adaptive differential harmony search algorithm has been tested with IEEE 30-bus, IEEE 300-bus, and 66-bus Indian utility systems. The simulation results obtained using the proposed algorithm are compared with other variants of the improved harmony search algorithm, such as the differential harmony search algorithm, the chaotic differential harmony search algorithm, the interior point method, and other techniques reported in the literature, to show its effectiveness. The results obtained by the proposed algorithm are found to be better than the results obtained by the differential harmony search, chaotic differential harmony search, interior point method, and other algorithms reported in the literature in terms of solution quality and standard deviation of generation cost. In terms of speed of convergence and computational time, the proposed algorithm is better than the differential harmony search and chaotic differential harmony search algorithms.

关键词： optimal power flow valve point effect multiple fuel options differential harmony search algorithm chaotic differential harmony search algorithm chaotic self-adaptive differential harmony search algorithm

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A new algorithm for combined dynamic economic emission dispatch with security constraints

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ENERGY 2015年第C期79卷 496-511页

作者： Arul, R. Velusami, S. Ravi, G. Annamalai Univ Dept Elect Engn Annamalainagar 608002 Tamil Nadu India Pondicherry Engn Coll Dept EEE Pondicherry India

The primary objective of CDEED (combined dynamic economic emission dispatch) problem is to determine the optimal power generation schedule for the online generating units over a time horizon considered and simultaneously minimizing the emission level and satisfying the generators and system constraints. The CDEED problem is bi-objective optimization problem, where generation cost and emission are considered as two competing objective functions. This bi-objective CDEED problem is represented as a single objective optimization problem by assigning different weights for each objective functions. The weights are varied in steps and for each variation one compromise solution are generated and finally fuzzy based selection method is used to select the best compromise solution from the set of compromise solutions obtained. In order to reflect the test systems considered as real power system model, the security constraints are also taken into account. Three new versions of DHS (differential harmony search) algorithms have been proposed to solve the CDEED problems. The feasibility of the proposed algorithms is demonstrated on IEEE-26 and IEEE-39 bus systems. The result obtained by the proposed CSADHS (chaotic self-adaptive differential harmony search) algorithm is found to be better than EP (evolutionary programming), DHS, and the other proposed algorithms in terms of solution quality, convergence speed and computation time. (C) 2014 Elsevier Ltd. All rights reserved.

关键词： Combined dynamic economic emission dispatch chaotic differential harmony search algorithm self-adaptive differential harmony searchalgorithm chaotic self-adaptive differential harmony search algorithm Evolutionary programming

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