An improved chaotic hybrid differential evolution for the short-term hydrothermal scheduling problem considering practical constraints

Malik, Tahir Nadeem; Zafar, Salman; Haroon, Shaikh Saaqib

doi:10.1631/fitee.1400189

Cited by 10 publications

(9 citation statements)

References 38 publications

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“…Reference [168] has solved the CSTHTS problem using an improved chaotic hybrid differential evolution algorithm. Chaos theory is used to implement a self-adjusted parameter setting in differential evolution (DE) to help prevent it from premature convergence.…”

Section: Evolutionary Programming Algorithms Applied On Sthts Problemmentioning

confidence: 99%

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%

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

et al. 2021

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“…As a well-known heuristic algorithm, the differential evolution (DE) algorithm is becoming increasingly popular and important owing to its quick convergence, robustness, and simplicity [1]. It has thus been employed in the domains of constrained optimization [2,3], multiobjective optimization [4,5], and filter design [6], among others.…”

Section: Id:p0075mentioning

confidence: 99%

Optimized Differential Evolution Algorithm for Software Testing

Gou¹,

Huang²,

Yang³

et al. 2018

IJCIS

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Differential evolution (DE) algorithms for software testing usually exhibited limited performance and stability owing to possible premature-convergence-related aging during evolution processes. This paper proposes a new framework comprising an antiaging mechanism, that is, a rebirth strategy with partial memory against aging, for the existing DE algorithm and a specialized fitness function. The results of application of the proposed framework to instantiate three DE algorithms with different mutation schemas indicate that it significantly improved their effectiveness, performance, and stability.

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“…The objective of pure ECS (Economic Fuel Cost Scheduling) problem is the minimization of total fuel cost of thermal plants. Mathematically it is represented as [3]:…”

Section: Economic Cost Schedulingmentioning

confidence: 99%

“…The above described objective functions are to be minimized subject to various hydraulic and thermal constraints [3], which can be written mathematically as:…”

Section: Constraintsmentioning

confidence: 99%

“…The solution of EPSHES involves many constraints of the hydropower and thermal plants including cascade nature of hydropower plants, varying reservoir inflows, limits of the reservoir storage, limits on the discharge capacity, water transport delay, the prohibited discharge zones of T he problem of economic power scheduling of all thermal plants [1,2] and EPSHES (Economic Power Scheduling of Hydrothermal Energy Systems) has been solved for last many years due to the huge importance. The EPSHES is basically to determine the optimal amount of water for the hydropower plants and the power output from the hydropower plants, multiple valve point effects on thermal fuel cost curves, ramp rates of thermal plants, the varying load demand, and the limitations on the generation by the hydropower and thermal plants [3].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Short Term Economic Emission Power Scheduling of Hydrothermal Energy Systems Using Improved Water Cycle Algorithm

Haroon

Malik

2017

Mehran Univ. res. j. eng. technol.

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Due to the increasing environmental concerns, the demand of clean and green energy and concern of atmospheric pollution is increasing. Hence, the power utilities are forced to limit their emissions within the prescribed limits. Therefore, the minimization of fuel cost as well as exhaust gas emissions is becoming an important and challenging task in the short-term scheduling of hydro-thermal energy systems. This paper proposes a novel algorithm known as WCA-ER (Water Cycle Algorithm with Evaporation Rate) to inspect the short term EEPSHES (Economic Emission PowerScheduling of Hydrothermal Energy Systems). WCA has its ancestries from the natural hydrologic cycle i.e. the raining process forms streams and these streams start flowing towards the rivers which finally flow towards the sea. The worth of WCA-ER has been tested on the standard economic emission power scheduling of hydrothermal energy test system consisting of four hydropower and three thermal plants. The problem has been investigated for the three case studies (i) ECS (Economic Cost Scheduling), (ii) ES (Economic Emission Scheduling) and (iii) ECES (Economic Cost & Emission Scheduling). The results obtained show that WCA-ER is superior to many other methods in the literature in bringing lower fuel cost and emissions.

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An improved chaotic hybrid differential evolution for the short-term hydrothermal scheduling problem considering practical constraints

Cited by 10 publications

References 38 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

Optimized Differential Evolution Algorithm for Software Testing

Short Term Economic Emission Power Scheduling of Hydrothermal Energy Systems Using Improved Water Cycle Algorithm

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