Journal ArticleDOI
Multi‐objective economic emission dispatch using interior search algorithm
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This article is published in International Transactions on Electrical Energy Systems.The article was published on 2019-01-01. It has received 40 citations till now. The article focuses on the topics: Search algorithm.read more
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A new Kho-Kho optimization Algorithm: An application to solve combined emission economic dispatch and combined heat and power economic dispatch problem
TL;DR: The proposed technique is a population based meta-heuristic method which is inspired from the strategies used by players in a well known tag-team game played in India, i.e. Kho-Kho, and its performance and superiority with respect to other existing methods are evaluated.
Journal ArticleDOI
Improved tunicate swarm algorithm: Solving the dynamic economic emission dispatch problems
Lingling Li,Zhi-Feng Liu,Ming-Lang Tseng,Ming-Lang Tseng,Ming-Lang Tseng,Sheng-Jie Zheng,Ming K. Lim +6 more
TL;DR: In this paper, an improved tunicate swarm algorithm (ITSA) was proposed for solving and optimizing the dynamic economic emission dispatch (DEED) problem, which aims to reduce the fuel cost and pollutant emission of the power system.
Journal ArticleDOI
Optimized Parameters of SOFC for steady state and transient simulations using interior search algorithm
TL;DR: Comparisons to other competing recent algorithms such as satin bowerbird algorithm, grasshopper optimizer and genetic algorithm indicate the viability of the proposed ISO-based method in defining the unknown parameters of the SOFCs efficiently.
Journal ArticleDOI
Economical-technical-environmental operation of power networks with wind-solar-hydropower generation using analytic hierarchy process and improved grey wolf algorithm
Muhyaddin Rawa,Abdullah Abusorrah,Hussain Bassi,Saad Mekhilef,Saad Mekhilef,Ziad M. Ali,Ziad M. Ali,Shady H. E. Abdel Aleem,Hany M. Hasanien,Ahmed I. Omar +9 more
TL;DR: The results attained validate that the IGWO outperforms the other considered algorithms in finding the best solution to the ETED problem.
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Combined Economic Emission Dispatch of Microgrid with the Incorporation of Renewable Energy Sources Using Improved Mayfly Optimization Algorithm
TL;DR: In this paper , the authors proposed an improved mayfly algorithm incorporating Levy flight to resolve the combined economic emission dispatch problem encountered in micro-grids to attain optimal generation cost and emission levels.
References
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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.
Journal ArticleDOI
A hybrid EP and SQP for dynamic economic dispatch with nonsmooth fuel cost function
TL;DR: In this paper, a hybrid methodology for solving dynamic economic dispatch (DED) is proposed, in such a way that a simple evolutionary programming (EP) is applied as a based level search, which can give a good direction to the optimal global region, and a local search sequential quadratic programming (SQP) is used as a fine tuning to determine the optimal solution at the final.
Journal ArticleDOI
A zoom feature for a dynamic programming solution to economic dispatch including transmission losses
Z.-X. Liang,J.D. Glover +1 more
TL;DR: In this article, an iterative dynamic programming method for solving the economic dispatch problems of a system of thermal generating units including transmission line losses is presented along with a clear explanation of modifying generator cost functions during each iteration.
A Hybrid EP and SQP for Dynamic Economic
TL;DR: In this paper, the authors proposed a new hybrid methodology for solving dynamic economic dispatch (DED) using evolutionary programming (EP) and sequential quadratic programming (SQP).
Journal ArticleDOI
Stochastic economic emission load dispatch
TL;DR: In this article, a stochastic economic emission load dispatch (EELD) problem is formulated with consideration of the uncertainties in the system production cost and the nature of the load demand, which is random.
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