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International Conference on Energy Efficient Technologies for Sustainability (ICEETS)

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

ISBN: (纸本)9781467361507;9781467361491

This paper proposes an efficient chaotic differential harmony search (CDHS) algorithm to solve the dynamic economic and emission dispatch (DEED) problem with security constraints. The main objective of DEED problem is to determine the optimal power generation schedule for the online generating units over a time horizon at the same time satisfying the environmental and security constraints along with other generator constraints. The DEED problem is formulated as a nonlinear constrained multi-objective optimization problem. The fuel cost and emission are considered as two competing objectives. It is converted into a single objective function by introducing a price penalty factor. The price penalty factor blends the emission with the fuel cost. In the proposed algorithm, chaotic variables are introduced instead of random number generator in the differential mutation operator of differential harmony search (DHS) algorithm to accelerate the DHS algorithm to reach the global optimal solution quickly. The effectiveness of the proposed CDHS algorithm is demonstrated on IEEE-30 bus system with valve point effects, ramp rate limits, prohibited operating zones, and security constraints for a period of 24 hours. The simulation results obtained by the proposed CDHS algorithm are compared with DHS algorithm. The optimal solution obtained by the proposed algorithm is better than DHS algorithm in terms of solution quality, speed of convergence and computational time.

关键词： Dynamic economic and emission dispatch generator constraints differential harmony search algorithm chaotic differential harmony search algorithm

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chaotic differential harmony search algorithm to solve dynamic economic dispatch problem with emission and security constraints

Chaotic differential harmony search algorithm to solve dynam...

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International Conference on Energy Efficient Technologies for Sustainability

作者： R. Arul S. Velusami G. Ravi Dept. of Electrical Engineering Annamalai University Faculty of Engg & Tech Annamalai University Dept. of Electrical & Electronics Engg Pondicherry Engineering College

ISBN: (纸本)9781467361491

关键词： Dynamic economic and emission dispatch Generator constraints differential harmony search algorithm chaotic differential harmony search algorithm

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Solving Security Constrained Dynamic Economic Dispatch Problem using chaotic differential harmony search algorithm

Solving Security Constrained Dynamic Economic Dispatch Probl...

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International Conference on Circuits, Power and Computing Technologies

作者： R. Arul S. Velusami G. Ravi Research Scholar Dept. of Electrical Engineering Annamalai University Annamalainagar Tamilnadu India Dean Faculty of Engg & Tech Annamalai University Annamalainagar Tamilnadu India Associate Professor Dept. of Electrical & Electronics Engg Pondicherry Engineering College Puducherry India

ISBN: (纸本)9781467349215

Security constrained dynamic economic dispatch (DED) is a complex non-linear constrained optimization problem in power system operation and control. The main objective of security constrained DED problem is to determine the optimal power generation schedule for the online generating units over a time horizon at the same time satisfying the transmission and generation constraints. This paper proposes an efficient chaotic differential harmony search (CDHS) algorithm to solve the security constrained DED problem. In the proposed algorithm, chaotic variables are introduced instead of random number generator in the differential mutation operator of differential harmony search (DHS) algorithm to accelerate the DHS algorithm to reach the global optimal solution quickly. The effectiveness of the proposed CDHS algorithm is demonstrated on IEEE-30 bus system with valve point effects, ramp rate limits, prohibited operating zones, transmission line flow and bus voltage limits constraints for a period of 24 hours. The simulation results obtained by the proposed CDHS algorithm are compared with DHS algorithm. The optimal solutions obtained by the proposed algorithm are better than DHS algorithm in terms of solution quality, speed of convergence and computational time.

关键词： Security constrained dynamic economic dispatch generator constraints line constraints differential harmony search algorithm chaotic 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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chaotic self-adaptive differential harmony search algorithm based dynamic economic dispatch

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INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS 2013年第Sep.期50卷 85-96页

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

Dynamic economic dispatch (DED) is one of the main optimization problems in electrical power system operation and control. DED problem is a non-smooth and non-convex problem when valve point effect, ramp-rate limits and prohibited operating zones of generation units are taken into account. This paper proposes an efficient chaotic self-adaptive differential harmony search (CSADHS) algorithm to solve the complicated DED problem in the presence of valve point effect, ramp-rate limits and prohibited operating zones constraints. In the proposed algorithm, chaotic self-adaptive differential mutation operator is used instead of pitch adjustment operator in the harmony search (HS) algorithm, to enhance the searching performance to find the quality solution. The effectiveness of the proposed algorithm is demonstrated on 10, 15 and 30 unit systems for a period of 24 h. The simulation results obtained by the proposed algorithm are compared with the results obtained, using differential harmony search (DHS) algorithm, chaotic differential harmony search (CDHS) algorithm, and also with the results of other methods available in the literature. In terms of solution quality, the proposed algorithm is found to be better than other algorithms and in terms of speed of convergence, standard deviation of generation cost, and computational time, the proposed algorithm is better than DHS and CDHS algorithm. (C) 2013 Elsevier Ltd. All rights reserved.

关键词： Dynamic economic dispatch Valve point effect Prohibited operating zones Ramp-rate limits differential harmony search algorithm chaotic 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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