Journal ArticleDOI
An improved PSO technique for short-term optimal hydrothermal scheduling
TLDR
In this article, an improved particle swarm optimization (IPSO) technique is proposed to solve the problem of optimal power generation to short-term hydrothermal scheduling problem, using improved PSO technique, which is applied on a multi-reservoir cascaded hydro-electric system having prohibited operating zones and a thermal unit with valve point loading.About:
This article is published in Electric Power Systems Research.The article was published on 2009-07-01. It has received 177 citations till now. The article focuses on the topics: Nonlinear programming & Particle swarm optimization.read more
Citations
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Journal ArticleDOI
Teaching learning based optimization for short-term hydrothermal scheduling problem considering valve point effect and prohibited discharge constraint
TL;DR: In this article, a teaching learning based optimization (TLBO) algorithm is proposed to solve short-term hydrothermal scheduling (HTS) problem considering nonlinearities like valve point loading effects of the thermal unit and prohibited discharge zone of water reservoir of the hydro plants.
Journal ArticleDOI
A new genetic algorithm for solving optimization problems
TL;DR: The experimental analysis showed that the proposed GA with a new multi-parent crossover converges quickly to the optimal solution and thus exhibits a superior performance in comparison to other algorithms that also solved those problems.
Journal ArticleDOI
Short-term hydrothermal scheduling using clonal selection algorithm
TL;DR: In this paper, an efficient optimization procedure based on the clonal selection algorithm (CSA) is proposed for the solution of short-term hydrothermal scheduling problem, which is a new algorithm from the family of evolutionary computation, is simple, fast and a robust optimization tool for real complex hydrotherm scheduling problems, the results of the proposed approach are compared with those of gradient search (GS), simulated annealing (SA), evolutionary programming (EP), dynamic programming (DP), non-linear programming (NLP), genetic algorithm (GA), improved fast EP (IFEP),
Journal ArticleDOI
A hybrid of real coded genetic algorithm and artificial fish swarm algorithm for short-term optimal hydrothermal scheduling
TL;DR: A hybrid algorithm for solving SHS problem by combining real coded genetic algorithm and artificial fish swarm algorithm (RCGA–AFSA), which takes advantage of their complementary ability of global and local search for optimal solution.
Journal ArticleDOI
Small Population-Based Particle Swarm Optimization for Short-Term Hydrothermal Scheduling
TL;DR: In this paper, a small population-based particle swarm optimization (SPPSO) approach is presented to solve the problem of short-term hydrothermal scheduling (STHS), where a novel mutation operation that selects the flying guides for each individual is employed to enhance the diversity of the small population.
References
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Proceedings ArticleDOI
Particle swarm optimization
TL;DR: A concept for the optimization of nonlinear functions using particle swarm methodology is introduced, and the evolution of several paradigms is outlined, and an implementation of one of the paradigm is discussed.
Book
Power Generation, Operation, and Control
Allen J. Wood,Bruce Wollenberg +1 more
TL;DR: In this paper, the authors present a graduate-level text in electric power engineering as regards to planning, operating, and controlling large scale power generation and transmission systems, including characteristics of power generation units, transmission losses, generation with limited energy supply, control of generation, and power system security.
Book ChapterDOI
Comparison between Genetic Algorithms and Particle Swarm Optimization
Russell C. Eberhart,Yuhui Shi +1 more
TL;DR: This paper compares two evolutionary computation paradigms: genetic algorithms and particle swarm optimization, and suggests ways in which performance might be improved by incorporating features from one paradigm into the other.
Journal ArticleDOI
Particle swarm optimization to solving the economic dispatch considering the generator constraints
TL;DR: In this paper, a particle swarm optimization (PSO) method for solving the economic dispatch (ED) problem in power systems is proposed, and the experimental results show that the proposed PSO method was indeed capable of obtaining higher quality solutions efficiently in ED problems.
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