Journal ArticleDOI
Optimal power dispatch in multinode electricity market using genetic algorithm
T. Numnonda,Udaya Annakkage +1 more
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In this paper, the authors proposed a genetic algorithm to solve the optimal power dispatch problem for a multi-node auction market, which maximizes the total participants' benefit at all nodes in the system.About:
This article is published in Electric Power Systems Research.The article was published on 1999-04-01. It has received 31 citations till now. The article focuses on the topics: Economic dispatch & Electricity market.read more
Citations
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Journal ArticleDOI
Optimal power flow by enhanced genetic algorithm
TL;DR: A number of functional operating constraints, such as branch flow limits, load bus voltage magnitude limits, and generator reactive capabilities, are included as penalties in the GA fitness function (FF).
Journal ArticleDOI
Optimal power flow: a bibliographic survey I
TL;DR: Optimal power flow (OPF) has become one of the most important and widely studied nonlinear optimization problems as mentioned in this paper, and there is an extremely wide variety of OPF formulations and solution methods.
Journal ArticleDOI
Optimal power flow: A bibliographic survey II non-deterministic and hybrid methods
TL;DR: Optimal power flow (OPF) has become one of the most important and widely studied nonlinear optimization problems as discussed by the authors, and there is an extremely wide variety of OPF formulations and solution methods.
Journal ArticleDOI
A review on applications of heuristic optimization algorithms for optimal power flow in modern power systems
TL;DR: The most frequently applied HOAs for solving the OPF problem in recent years are covered and briefly introduced, including genetic algorithm (GA), differential evolution (DE), particle swarm optimization (PSO), and evolutionary programming (EP), etc.
Proceedings ArticleDOI
Constrained optimal power flow by mixed-integer particle swarm optimization
TL;DR: In this article, an efficient mixed-integer particle swarm optimization (MIPSO) was proposed for solving the constrained optimal power flow (OPF) with a mixture of continuous and discrete control variables and discontinuous fuel cost functions.
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.
Genetic algorithms in search, optimization and machine learning
TL;DR: This book brings together the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields.
Book
An Introduction to Genetic Algorithms
TL;DR: An Introduction to Genetic Algorithms focuses in depth on a small set of important and interesting topics -- particularly in machine learning, scientific modeling, and artificial life -- and reviews a broad span of research, including the work of Mitchell and her colleagues.
Book
Computer Analysis of Power Systems
J. Arrillaga,C. P. Arnold +1 more
TL;DR: This book describes the main computer modelling techniques that constitute the framework of modern power system analysis and covers load or power flow, AC system faults, and the electromechanical behavior of power systems.
Journal ArticleDOI
Economic dispatch of generators with prohibited operating zones: a genetic algorithm approach
S.O. Orero,Malcolm R. Irving +1 more
TL;DR: The work explores the use of a genetic algorithm for the solution of an economic dispatch problem in power systems where some of the units have prohibited operating zones and demonstrates that the genetic algorithm can be applied successfully in the solutionof problems represented with nonconvex functions.