Journal ArticleDOI
Genetic-based algorithm for power economic load dispatch
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In this paper, an improved GA with multiplier updating (IGAMU) is proposed to solve practical power economic load dispatch (PELD) problems of different sizes and complexities with non-convex cost curves, where conventional mathematical methods are inapplicable.Abstract:
An improved genetic algorithm with multiplier updating (IGAMU) to solve practical power economic load dispatch (PELD) problems of different sizes and complexities with non-convex cost curves, where conventional mathematical methods are inapplicable, is developed. The improved genetic algorithm (IGA) provides an improved evolutionary direction operator and a migrating operator, enabling it to efficiently search and actively explore solutions. Multiplier updating (MU) is introduced to avoid deforming the augmented Lagrange function, which is adopted to manage the system constraints of PELD problems. The proposed IGAMU integrates the IGA with the MU. Two practical examples are employed to demonstrate that the proposed algorithm has the benefits of straightforwardness, ease of implementation, better effectiveness than previous methods, better effectiveness and efficiency than the genetic algorithm (GA) with MU (GA-MU), automatic adjustment of the randomly assigned penalty to an appropriate value and the requirement for only a small population when applied to real-life PELD operations.read more
Citations
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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
DG allocation for benefit maximization in distribution networks
TL;DR: In this article, the authors proposed a method to evaluate the worth of installing renewable distributed generation (DG) in distribution networks, and the work optimally allocates these DG units in the distribution network to maximize the value of the connection to the local distribution company (LDC), as well as the customers connected to the system.
Journal ArticleDOI
Economic Load Dispatch—A Comparative Study on Heuristic Optimization Techniques With an Improved Coordinated Aggregation-Based PSO
J.G. Vlachogiannis,Kwang Y. Lee +1 more
TL;DR: An improved coordinated aggregation-based particle swarm optimization (ICA-PSO) algorithm is introduced for solving the optimal economic load dispatch (ELD) problem in power systems, demonstrating improved performance over other state-of-the-art heuristic optimization techniques (HOTs).
Journal ArticleDOI
A new modified artificial bee colony algorithm for the economic dispatch problem
TL;DR: A new modified artificial bee colony algorithm (MABC) is proposed to solve the economic dispatch problem by taking into account the valve-point effects, the emission pollutions and various operating constraints of the generating units.
Journal ArticleDOI
A hybrid differential evolution algorithm based on particle swarm optimization for nonconvex economic dispatch problems
Samir Sayah,Abdellatif Hamouda +1 more
TL;DR: The proposed approach combines in the most effective way the properties of two of the most popular evolutionary optimization techniques now in use for power system optimization, the Differential Evolution (DE) and Particle Swarm Optimization (PSO) algorithms.
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.
Journal ArticleDOI
Differential Evolution – A Simple and Efficient Heuristic for Global Optimization over Continuous Spaces
Rainer Storn,Kenneth Price +1 more
TL;DR: In this article, a new heuristic approach for minimizing possibly nonlinear and non-differentiable continuous space functions is presented, which requires few control variables, is robust, easy to use, and lends itself very well to parallel computation.
Book ChapterDOI
Learning internal representations by error propagation
TL;DR: This chapter contains sections titled: The Problem, The Generalized Delta Rule, Simulation Results, Some Further Generalizations, Conclusion.
Book
Learning internal representations by error propagation
TL;DR: In this paper, the problem of the generalized delta rule is discussed and the Generalized Delta Rule is applied to the simulation results of simulation results in terms of the generalized delta rule.
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