Journal ArticleDOI
A Hybrid Interior Point Assisted Differential Evolution Algorithm for Economic Dispatch
Nagarjuna Duvvuru,K.S. Swarup +1 more
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In this paper, a hybrid algorithm connecting interior point method (IPM) and differential evolution (DE) for solving economic load dispatch problem with valve point effect is proposed, which involves two stages.Abstract:
The paper proposes a novel hybrid algorithm connecting interior point method (IPM) and differential evolution (DE) for solving economic load dispatch problem with valve point effect. The algorithm involves two stages. The first stage employs IPM to minimize the cost function without considering the valve point effect. The second stage considers valve point effect and minimizes the cost function using DE. The initial population for DE is generated in a narrow range of 2π/f around the solution obtained in the first stage. The effectiveness of the algorithm is validated by carrying out extensive tests on three different systems involving 13 and 40 thermal generating units. The proposed method outperforms other existing techniques for economic load dispatch considering valve-point effects.read more
Citations
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Journal ArticleDOI
Quantum-Inspired Particle Swarm Optimization for Power System Operations Considering Wind Power Uncertainty and Carbon Tax in Australia
TL;DR: A computational framework for integrating wind power uncertainty and carbon tax in economic dispatch (ED) model is developed and the probability of stochastic wind power based on nonlinear wind power curve and Weibull distribution is included in the model.
Journal ArticleDOI
Flexible Robust Optimization Dispatch for Hybrid Wind/Photovoltaic/Hydro/Thermal Power System
TL;DR: Robust optimization theory is introduced into optimization dispatch for hybrid wind/photovoltaic/hydro/thermal power systems and concept of uncertainty is introduced to cover shortcoming of conventional robust optimization which is conservative.
Journal ArticleDOI
Neural network methods to solve the Lane–Emden type equations arising in thermodynamic studies of the spherical gas cloud model
TL;DR: Stochastic numerical computing approach is developed by applying artificial neural networks (ANNs) to compute the solution of Lane–Emden type boundary value problems arising in thermodynamic studies of the spherical gas cloud model.
Journal ArticleDOI
Design of unsupervised fractional neural network model optimized with interior point algorithm for solving BagleyTorvik equation
TL;DR: An efficient computing technique has been developed for the solution of fractional order systems governed with initial value problems (IVPs) of the BagleyTorvik equations using fractional neural networks (FNNs) optimized with interior point algorithms (IPAs).
Journal ArticleDOI
Colonial competitive differential evolution
TL;DR: Comparisons show that the CCDE algorithms have good performance and are reliable tools in solving ELD problem and the constraints and operational limitations are considered.
References
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Book
Convex Optimization
Stephen Boyd,Lieven Vandenberghe +1 more
TL;DR: In this article, the focus is on recognizing convex optimization problems and then finding the most appropriate technique for solving them, and a comprehensive introduction to the subject is given. But the focus of this book is not on the optimization problem itself, but on the problem of finding the appropriate technique to solve it.
Book
Primal-Dual Interior-Point Methods
TL;DR: This chapter discusses Primal Method Primal-Dual Methods, Path-Following Algorithm, and Infeasible-Interior-Point Algorithms, and their applications to Linear Programming and Interior-Point Methods.
Journal ArticleDOI
Genetic algorithm solution of economic dispatch with valve point loading
D.C. Walters,Gerald B. Sheblé +1 more
TL;DR: In this article, a genetic-based algorithm was proposed to solve an economic dispatch problem for valve point discontinuities, which utilizes payoff information of candidate solutions to evaluate their optimality.
Journal ArticleDOI
Evolutionary programming techniques for economic load dispatch
TL;DR: The performance of evolutionary programs on ELD problems is examined and modifications to the basic technique are proposed, where adaptation is based on scaled cost and adaptation based on an empirical learning rate are developed.
Proceedings ArticleDOI
On the usage of differential evolution for function optimization
TL;DR: This paper describes several variants of DE and elaborates on the choice of DE's control parameters, which corresponds to the application of fuzzy rules, and the design of a howling removal unit with DE.