Journal ArticleDOI
A particle swarm optimization for economic dispatch with nonsmooth cost functions
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In this paper, a modified particle swarm optimization (MPSO) was proposed to deal with the equality and inequality constraints in the economic dispatch (ED) problems with nonsmooth cost functions.Abstract:
This work presents a new approach to economic dispatch (ED) problems with nonsmooth cost functions using a particle swarm optimization (PSO) technique. The practical ED problems have nonsmooth cost functions with equality and inequality constraints that make the problem of finding the global optimum difficult using any mathematical approaches. A modified PSO (MPSO) mechanism is suggested to deal with the equality and inequality constraints in the ED problems. A constraint treatment mechanism is devised in such a way that the dynamic process inherent in the conventional PSO is preserved. Moreover, a dynamic search-space reduction strategy is devised to accelerate the optimization process. To show its efficiency and effectiveness, the proposed MPSO is applied to test ED problems, one with smooth cost functions and others with nonsmooth cost functions considering valve-point effects and multi-fuel problems. The results of the MPSO are compared with the results of conventional numerical methods, Tabu search method, evolutionary programming approaches, genetic algorithm, and modified Hopfield neural network approaches.read more
Citations
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Journal ArticleDOI
Particle Swarm Optimization: Basic Concepts, Variants and Applications in Power Systems
TL;DR: This paper presents a detailed overview of the basic concepts of PSO and its variants, and provides a comprehensive survey on the power system applications that have benefited from the powerful nature ofPSO as an optimization technique.
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
Analysis of the publications on the applications of particle swarm optimisation
TL;DR: A large number of publications dealing with PSO applications stored in the IEEE Xplore database at the time of writing are categorised.
Journal ArticleDOI
A Survey of Particle Swarm Optimization Applications in Electric Power Systems
TL;DR: This paper presents a comprehensive coverage of different PSO applications in solving optimization problems in the area of electric power systems and highlights the PSO key features and advantages over other various optimization algorithms.
Journal ArticleDOI
Multiobjective evolutionary algorithms for electric power dispatch problem
TL;DR: The potential and effectiveness of the newly developed Pareto-based multiobjective evolutionary algorithms (MOEA) for solving a real-world power system multi objective nonlinear optimization problem are comprehensively discussed and evaluated.
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.
Journal ArticleDOI
The particle swarm - explosion, stability, and convergence in a multidimensional complex space
M. Clerc,James Kennedy +1 more
TL;DR: This paper analyzes a particle's trajectory as it moves in discrete time, then progresses to the view of it in continuous time, leading to a generalized model of the algorithm, containing a set of coefficients to control the system's convergence tendencies.
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.
Journal ArticleDOI
A particle swarm optimization for reactive power and voltage control considering voltage security assessment
TL;DR: In this article, a particle swarm optimization (PSO) for reactive power and voltage control (volt/VAr control: VVC) considering voltage security assessment (VSA) is presented.
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