Proceedings ArticleDOI
Comparison of Intelligent Techniques to Solve Economic Load Dispatch Problem with Line Flow Constraints
S. Prabhakar Karthikeyan,Kaliannan Palanisamy,L. Jacob Varghese,I. Jacob Raglend,D.P. Kothari +4 more
- pp 446-452
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TLDR
A comparative analysis using different intelligent techniques has been carried out for the Economic Load Dispatch (ELD) problem considering line flow constraints for the regulated power system to ensure a practical, economical and secure generation schedule.Abstract:
A comparative analysis using different intelligent techniques has been carried out for the Economic Load Dispatch (ELD) problem considering line flow constraints for the regulated power system to ensure a practical, economical and secure generation schedule. The objective of this paper is to minimize the total production cost of the thermal power generation. Economic Load Dispatch (ELD) has been applied to obtain optimal fuel cost. Optimal Power Flow has been carried out to obtain ELD solutions with minimum operating cost satisfying both unit and network constraints. In this paper, various intelligent techniques such as Genetic Algorithm (GA), Evolutionary Programming (EP), Particle Swarm Optimization (PSO), and Differential Evolution (DE) have been applied to obtain ELD solutions. The proposed algorithm has been tested on two sample systems viz IEEE 30 bus system and a 15 unit system. The results obtained by the various intelligent techniques are compared. The solutions obtained are quite encouraging and useful in the economic environment. The algorithm and simulation are carried out using Matlab software.read more
Citations
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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
Swarm Intelligence Approaches to Optimal Power Flow Problem With Distributed Generator Failures in Power Networks
TL;DR: This work for the first time formulates an optimal power flow problem by considering controllable and uncontrollable distributed generators in power networks and finds its power output solution via particle swarm optimization and group search optimizer for coping with the difficult scenarios in a power network.
Journal ArticleDOI
Solution of an Economic Dispatch Problem Through Particle Swarm Optimization: A Detailed Survey – Part II
TL;DR: All the hybrid forms (purely) of PSO applied to a constrained economic dispatch problem are detailed and how PSO overcomes its premature convergence problem while hybridizing with other optimization techniques is well-highlighted.
Proceedings Article
Power loss minimization using optimal power flow based on particle swarm optimization
TL;DR: In this article, a particle swarm optimization (PSO) based optimal power flow algorithm was proposed to minimize the overall power losses in IEEE IEEE power system, where the PSO-based algorithm gave the best solutions over the BFGS and GA-based methods.
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.
Proceedings ArticleDOI
Empirical study of particle swarm optimization
Yuhui Shi,Russell C. Eberhart +1 more
TL;DR: The experimental results show that the PSO is a promising optimization method and a new approach is suggested to improve PSO's performance near the optima, such as using an adaptive inertia weight.
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.
Journal ArticleDOI
Optimal Load Flow with Steady-State Security
TL;DR: In this paper, the authors extend the Dommel-Tinney approach by incorporating exact outage-contingency constraints into the method, to give an optimal steady-state-secure system operating point.
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