Journal ArticleDOI
Improved genetic algorithm for power economic dispatch of units with valve-point effects and multiple fuels
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TLDR
In this article, an improved genetic algorithm with multiplier updating (IGA/spl I.bar/MU) was proposed to solve power economic dispatch (PED) problems of units with valve-point effects and multiple fuels.Abstract:
This paper presents an improved genetic algorithm with multiplier updating (IGA/spl I.bar/MU) to solve power economic dispatch (PED) problems of units with valve-point effects and multiple fuels. The proposed IGA/spl I.bar/MU integrates the improved genetic algorithm (IGA) and the multiplier updating (MU). The IGA equipped with an improved evolutionary direction operator and a migration operation can efficiently search and actively explore solutions, and the MU is employed to handle the equality and inequality constraints of the PED problem. Few PED problem-related studies have seldom addressed both valve-point loadings and change fuels. To show the advantages of the proposed algorithm, which was applied to test PED problems with one example considering valve-point effects, one example considering multiple fuels, and one example addressing both valve-point effects and multiple fuels. Additionally, the proposed algorithm was compared with previous methods and the conventional genetic algorithm (CGA) with the MU (CGA/spl I.bar/MU), revealing that the proposed IGA/spl I.bar/MU is more effective than previous approaches, and applies the realistic PED problem more efficiently than does the CGA/spl I.bar/MU. Especially, the proposed algorithm is highly promising for the large-scale system of the actual PED operation.read more
Citations
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Journal ArticleDOI
A New Particle Swarm Optimization Solution to Nonconvex Economic Dispatch Problems
A.I. Selvakumar,K. Thanushkodi +1 more
TL;DR: A split-up in the cognitive behavior of the classical particle swarm optimization (PSO) is proposed, that is, the particle is made to remember its worst position also, which helps to explore the search space very effectively.
Journal ArticleDOI
Firefly Algorithm for solving non-convex economic dispatch problems with valve loading effect
TL;DR: This paper presents a novel approach to determining the feasible optimal solution of the ED problems using the recently developed Firefly Algorithm, and shows that the proposed FA is able to find more economical loads than those determined by other methods.
Journal ArticleDOI
An Improved Particle Swarm Optimization for Nonconvex Economic Dispatch Problems
TL;DR: An improved PSO framework employing chaotic sequences combined with the conventional linearly decreasing inertia weights and adopting a crossover operation scheme to increase both exploration and exploitation capability of the PSO is proposed.
Journal ArticleDOI
Self-Organizing Hierarchical Particle Swarm Optimization for Nonconvex Economic Dispatch
TL;DR: This paper proposes to apply a novel self-organizing hierarchical particle swarm optimization (SOH_PSO) for the nonconvex economic dispatch (NCED) and shows that the proposed approach outperforms previous methods for NCED.
Journal ArticleDOI
Biogeography-Based Optimization for Different Economic Load Dispatch Problems
TL;DR: In this paper, a biogeography-based optimization (BBO) algorithm is proposed to solve both convex and non-convex economic load dispatch (ELD) problems of thermal plants.
References
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Book
Genetic algorithms in search, optimization, and machine learning
TL;DR: In this article, the authors present the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields, including computer programming and mathematics.
Journal ArticleDOI
Evolutionary algorithms for constrained parameter optimization problems
TL;DR: Difficulty connected with solving the general nonlinear programming problem is discussed; several approaches that have emerged in the evolutionary computation community are surveyed; and a set of 11 interesting test cases are provided that may serve as a handy reference for future methods.
Journal ArticleDOI
Genetic algorithm solution of economic dispatch with valve point loading
D.C. Walters,Gerald B. Sheblé +1 more
TL;DR: In this article, a genetic-based algorithm was proposed to solve an economic dispatch problem for valve point discontinuities, which utilizes payoff information of candidate solutions to evaluate their optimality.
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