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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Veröffentlicht in:Complexity (New York, N.Y.) Jg. 2020; H. 2020; S. 1 - 18
Hauptverfasser: Yang, Le, Li, Bo, He, Dakuo
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Cairo, Egypt Hindawi Publishing Corporation 20.01.2020
Hindawi
John Wiley & Sons, Inc
Wiley
Schlagworte:
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
ISSN:1076-2787, 1099-0526
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Zusammenfassung: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.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:1076-2787
1099-0526
DOI:10.1155/2020/4939268