A Selection Hyper-Heuristic Algorithm for Multiobjective Dynamic Economic and Environmental Load Dispatch

Dynamic economic and environmental load dispatch (DEED) aims to determine the amount of electricity generated from power plants during the planning period to meet load demand while minimizing energy consumption costs and environmental pollution emission indicators subject to the operation requiremen...

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Published inComplexity (New York, N.Y.) Vol. 2020; no. 2020; pp. 1 - 18
Main Authors Yang, Le, Li, Bo, He, Dakuo
Format Journal Article
LanguageEnglish
Published Cairo, Egypt Hindawi Publishing Corporation 20.01.2020
Hindawi
John Wiley & Sons, Inc
Wiley
Subjects
Algorithms
Alternative energy sources
Analysis
Cost function
Deeds
Economic aspects
Electrical loads
Electricity distribution
Energy consumption
Energy costs
Energy storage
Environmental aspects
Green technology
Heuristic
Heuristic methods
Industrial plant emissions
Mathematical models
Operators (mathematics)
Optimization algorithms
Optimization techniques
Photovoltaic cells
Power dispatch
Power plants
Renewable resources
Solution space
System effectiveness
Wind power
Windpowered generators
Online AccessGet full text
ISSN1076-2787
1099-0526
1099-0526
DOI10.1155/2020/4939268

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Abstract Dynamic economic and environmental load dispatch (DEED) aims to determine the amount of electricity generated from power plants during the planning period to meet load demand while minimizing energy consumption costs and environmental pollution emission indicators subject to the operation requirements. This planning problem is usually expressed using a nonsmooth cost function, taking into account various equality and inequality constraints such as valve-point effects, operational limits, power balance, and ramp rate limits. This paper presents DEED models developed for a system consisting of thermal units, wind power generators, photovoltaic (PV) generators, and energy storage (ES). A selection hyper-heuristic algorithm is proposed to solve the problems. Three heuristic mutation operators formed a low-level operator pool to direct search the solution space of DEED. The high level of SHHA evaluates the performances of the low-level operators and dynamically adjusts the chosen probability of each operator. Simulation experiments were carried out on four systems of different types or sizes. The results verified the effectiveness of the proposed method.
AbstractList Dynamic economic and environmental load dispatch (DEED) aims to determine the amount of electricity generated from power plants during the planning period to meet load demand while minimizing energy consumption costs and environmental pollution emission indicators subject to the operation requirements. This planning problem is usually expressed using a nonsmooth cost function, taking into account various equality and inequality constraints such as valve-point effects, operational limits, power balance, and ramp rate limits. This paper presents DEED models developed for a system consisting of thermal units, wind power generators, photovoltaic (PV) generators, and energy storage (ES). A selection hyper-heuristic algorithm is proposed to solve the problems. Three heuristic mutation operators formed a low-level operator pool to direct search the solution space of DEED. The high level of SHHA evaluates the performances of the low-level operators and dynamically adjusts the chosen probability of each operator. Simulation experiments were carried out on four systems of different types or sizes. The results verified the effectiveness of the proposed method.
Audience Academic
Author Yang, Le
He, Dakuo
Li, Bo
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CitedBy_id crossref_primary_10_1007_s00521_024_10313_z
crossref_primary_10_1109_ACCESS_2021_3097985
crossref_primary_10_1109_TSMC_2023_3299982
crossref_primary_10_1155_2020_9053809
crossref_primary_10_1016_j_cie_2022_108704
crossref_primary_10_1155_2021_8834324
crossref_primary_10_1155_2020_5476846
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10.1016/j.ijepes.2014.12.072
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ContentType Journal Article
Copyright Copyright © 2020 Le Yang et al.
COPYRIGHT 2020 John Wiley & Sons, Inc.
Copyright © 2020 Le Yang et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. http://creativecommons.org/licenses/by/4.0
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StartPage 1
SubjectTerms Algorithms
Alternative energy sources
Analysis
Cost function
Deeds
Economic aspects
Electrical loads
Electricity distribution
Energy consumption
Energy costs
Energy storage
Environmental aspects
Green technology
Heuristic
Heuristic methods
Industrial plant emissions
Mathematical models
Operators (mathematics)
Optimization algorithms
Optimization techniques
Photovoltaic cells
Power dispatch
Power plants
Renewable resources
Solution space
System effectiveness
Wind power
Windpowered generators
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Title A Selection Hyper-Heuristic Algorithm for Multiobjective Dynamic Economic and Environmental Load Dispatch
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