The Optimization of Supply–Demand Balance Dispatching and Economic Benefit Improvement in a Multi-Energy Virtual Power Plant within the Jiangxi Power Market

This paper presents an optimization method for scheduling a multi-energy VPP (Virtual Power Plant) supply–demand balance in the power market environment of Jiangxi Province. The primary objective of this method is to improve the operational efficiency of the power grid, reduce energy costs, and faci...

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Vydáno v:Energies (Basel) Ročník 17; číslo 18; s. 4691
Hlavní autoři: Xinfa, Tang, Jingjing, Wang, Yonghua, Wang, Youwei, Wan
Médium: Journal Article
Jazyk:angličtina
Vydáno: Basel MDPI AG 01.09.2024
Témata:
Algorithms
Alternative energy sources
balance between supply and demand
Carbon
Cost reduction
Demand side management
Efficiency
Electric power systems
Electric power-plants
Electric vehicles
Electricity
Electricity distribution
Energy consumption
energy efficiency of renewable energy
Energy management
Energy management systems
Energy resources
Energy storage
Energy trading
Genetic algorithms
Load dispatching
Mathematical optimization
multi-energy VPP
multi-objective optimization algorithm
Optimization algorithms
Power plants
Power supply
Price ceilings
Renewable resources
Scheduling
scheduling planning optimization
Supply & demand
Wind power
China
Jiangxi China
ISSN:1996-1073, 1996-1073
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Abstract This paper presents an optimization method for scheduling a multi-energy VPP (Virtual Power Plant) supply–demand balance in the power market environment of Jiangxi Province. The primary objective of this method is to improve the operational efficiency of the power grid, reduce energy costs, and facilitate economical and efficient energy distribution in the power market. The method takes into account the characteristics and uncertainties of renewable energy sources such as solar and wind energy, and incorporates advanced multi-objective optimization algorithms. Furthermore, it integrates real-time market price feedback to achieve the accurate allocation of power supply and demand. Through a case study of a multi-energy VPP in Jiangxi Province, this paper examines the optimal combination model for various energy sources within VPP, and analyzes the impact of different market environments on supply–demand balance. The results demonstrate that the proposed scheduling optimization method significantly improves economic benefits while ensuring grid stability. Compared with traditional power supply models, it reduces average electricity costs by 15% and increases renewable energy utilization efficiency by 20%.
AbstractList This paper presents an optimization method for scheduling a multi-energy VPP (Virtual Power Plant) supply–demand balance in the power market environment of Jiangxi Province. The primary objective of this method is to improve the operational efficiency of the power grid, reduce energy costs, and facilitate economical and efficient energy distribution in the power market. The method takes into account the characteristics and uncertainties of renewable energy sources such as solar and wind energy, and incorporates advanced multi-objective optimization algorithms. Furthermore, it integrates real-time market price feedback to achieve the accurate allocation of power supply and demand. Through a case study of a multi-energy VPP in Jiangxi Province, this paper examines the optimal combination model for various energy sources within VPP, and analyzes the impact of different market environments on supply–demand balance. The results demonstrate that the proposed scheduling optimization method significantly improves economic benefits while ensuring grid stability. Compared with traditional power supply models, it reduces average electricity costs by 15% and increases renewable energy utilization efficiency by 20%.
Audience Academic
Author Xinfa, Tang
Yonghua, Wang
Jingjing, Wang
Youwei, Wan
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  surname: Youwei
  fullname: Youwei, Wan
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SubjectTerms Algorithms
Alternative energy sources
balance between supply and demand
Carbon
Cost reduction
Demand side management
Efficiency
Electric power systems
Electric power-plants
Electric vehicles
Electricity
Electricity distribution
Energy consumption
energy efficiency of renewable energy
Energy management
Energy management systems
Energy resources
Energy storage
Energy trading
Genetic algorithms
Load dispatching
Mathematical optimization
multi-energy VPP
multi-objective optimization algorithm
Optimization algorithms
Power plants
Power supply
Price ceilings
Renewable resources
Scheduling
scheduling planning optimization
Supply & demand
Wind power
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