Comparison of different variants of Differential Evolution applied to short-term economic generation scheduling of hydrothermal systems

Mandal, Kamal Krishna; Haldar, Vivekananda; Chakraborty, Nilanjan

doi:10.1109/ipecon.2010.5697082

Cited by 4 publications

(5 citation statements)

References 16 publications

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“…A Constraint handling method is also deployed that does not utilize the penalty factor approach. Reference [152] has implemented different variants of an evolutionary algorithm to solve MOSTHTS problem. Reference [153] has implemented a differential evolutionary algorithm to solve MOSTHTS problem while considering cascaded reservoir case.…”

Section: Evolutionary Programming Algorithms Applied On Sthts Problemmentioning

confidence: 99%

“…Fast evolutionary programming [141], [160], [178] Canonical Evolutionary programming [142]- [144], [152], [176], [177] Hybrid evolutionary programming [145], [147], [148] Interactive fuzzy satisfying EP [149] Chaotic sequence-based DE [150], [164] Adaptive [168], [168] terms of enhancement of the searchability of the conventional cuckoo search algorithm. Reference [188] used a cuckoo search algorithm (CSA) for solving CSTHTS problem considering transmission line losses and valve point loading effects of thermal units.…”

Section: Evolutionary Programming Algorithmsmentioning

confidence: 99%

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Conventional and Metaheuristic Optimization Algorithms for Solving Short Term Hydrothermal Scheduling Problem: A Review

et al. 2021

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Short term hydrothermal scheduling (STHTS) is a non-linear, multi-modal and very complex constrained optimization problem which has been solved using several conventional and modern metaheuristic optimization algorithms. A number of research articles have been published addressing STHTS using different techniques. This article presents a comprehensive review of research published for solving the STHTS problem in the last four decades.INDEX TERMS Short term hydrothermal scheduling, conventional algorithms, meta-heuristic algorithms, no free lunch theorem

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Section: Evolutionary Programming Algorithms Applied On Sthts Problemmentioning

confidence: 99%

Section: Evolutionary Programming Algorithmsmentioning

confidence: 99%

Conventional and Metaheuristic Optimization Algorithms for Solving Short Term Hydrothermal Scheduling Problem: A Review

et al. 2021

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“…The migration operation regenerate a new population around the best particle k b X . The th d dimension parameter of the particle i is reproduced by (15) max max max min…”

Section: Migration Operationmentioning

confidence: 99%

“…As a member of the modern evolution algorithm [10][11][12], differential evolution (DE) algorithm doesn't require the derivability and differentiability of optimization problems and has been widely used in the hydrothermal scheduling problem [13]. An improved DE algorithm based multi-objective approach is presented for the economic dispatch of the hydrothermal power system [14].…”

Section: Introductionmentioning

confidence: 99%

“…An improved DE algorithm based multi-objective approach is presented for the economic dispatch of the hydrothermal power system [14]. Besides, five most popular variants of DE algorithm are developed for a hydrothermal power system [15]. The numerical results of the researches show that DE algorithm is adept at solving the hydrothermal scheduling problem.…”

Section: Introductionmentioning

confidence: 99%

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Short-term optimal hydrothermal scheduling problem considering power flow constraint

Zhang

Lin

Zeng

et al. 2015

2015 IEEE Congress on Evolutionary Computation (CEC)

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Short-term optimal hydrothermal scheduling problem is one of the most popular research issues in power systems optimization. A novel mathematical model of the shortterm optimal hydrothermal scheduling is proposed in this paper. This model aims at minimizing the total fuel cost of the thermal generating units while satisfying the various constraints such as power balance, water balance, transmission network and other system's constraints. A modified differential evolution algorithm is also introduced to solve the short-term optimal hydrothermal scheduling problem. In the proposed approach, an operation of migration and a self-adaptive mechanism are presented to improve the searching efficiency. Moreover, four constraint handling rules are proposed to handle the complex constraints of short-term optimal hydrothermal scheduling problem. An IEEE nine buses test system is applied to verify the proposed mathematic model and algorithm. The numerical results show the feasibility and efficiency of the proposed approach to the short-term optimal hydrothermal scheduling problem.

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Short-term scheduling of hydro-based power plants considering application of heuristic algorithms: A comprehensive review

Nazari-Heris

Mohammadi‐Ivatloo

Gharehpetian

2017

Renewable and Sustainable Energy Reviews

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Comparison of different variants of Differential Evolution applied to short-term economic generation scheduling of hydrothermal systems

Cited by 4 publications

References 16 publications

Conventional and Metaheuristic Optimization Algorithms for Solving Short Term Hydrothermal Scheduling Problem: A Review

Conventional and Metaheuristic Optimization Algorithms for Solving Short Term Hydrothermal Scheduling Problem: A Review

Short-term optimal hydrothermal scheduling problem considering power flow constraint

Short-term scheduling of hydro-based power plants considering application of heuristic algorithms: A comprehensive review

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