LAPSE:2023.34797
Published Article
LAPSE:2023.34797
Micro-Grid Day-Ahead Stochastic Optimal Dispatch Considering Multiple Demand Response and Electric Vehicles
April 28, 2023
Abstract
Multiple demand responses and electric vehicles are considered, and a micro-grid day-ahead dispatch optimization model with photovoltaic is constructed based on stochastic optimization theory. Firstly, an interruptible load model based on incentive-based demand response is introduced, and a demand response mechanism for air conditioning load is constructed to implement an optimal energy consumption curve control strategy for air conditioning units. Secondly, considering the travel demand and charging/discharging rules of electric vehicles, the electric vehicle optimization model is built. Further, a stochastic optimization model of micro-grid with demand response and electric vehicles is developed because of the uncertainty of photovoltaic power output. Finally, the simulation example verifies the effectiveness of the proposed model. The simulation results show that the proposed model can effectively tackle the uncertainty of photovoltaic, as well as reduce the operating cost of micro-grid. Therefore, the effective interaction between users and electric vehicles can be realized.
Multiple demand responses and electric vehicles are considered, and a micro-grid day-ahead dispatch optimization model with photovoltaic is constructed based on stochastic optimization theory. Firstly, an interruptible load model based on incentive-based demand response is introduced, and a demand response mechanism for air conditioning load is constructed to implement an optimal energy consumption curve control strategy for air conditioning units. Secondly, considering the travel demand and charging/discharging rules of electric vehicles, the electric vehicle optimization model is built. Further, a stochastic optimization model of micro-grid with demand response and electric vehicles is developed because of the uncertainty of photovoltaic power output. Finally, the simulation example verifies the effectiveness of the proposed model. The simulation results show that the proposed model can effectively tackle the uncertainty of photovoltaic, as well as reduce the operating cost of micro-grid. Therefore, the effective interaction between users and electric vehicles can be realized.
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Keywords
demand responses, electric vehicles, micro-grid, photovoltaic, uncertainty
Subject
Suggested Citation
Li J, Yang M, Zhang Y, Li J, Lu J. Micro-Grid Day-Ahead Stochastic Optimal Dispatch Considering Multiple Demand Response and Electric Vehicles. (2023). LAPSE:2023.34797
Author Affiliations
Li J: School of Computer and Electrical Engineering, Hunan University of Arts and Science, Changde 415000, China; Key Laboratory of Hunan Province for Control Technology of Distributed Electric Propulsion Air Vehicle, Changde 415000, China [ORCID]
Yang M: School of Computer and Electrical Engineering, Hunan University of Arts and Science, Changde 415000, China; Key Laboratory of Hunan Province for Control Technology of Distributed Electric Propulsion Air Vehicle, Changde 415000, China [ORCID]
Zhang Y: School of Computer and Electrical Engineering, Hunan University of Arts and Science, Changde 415000, China; Key Laboratory of Hunan Province for Control Technology of Distributed Electric Propulsion Air Vehicle, Changde 415000, China
Li J: School of Computer and Electrical Engineering, Hunan University of Arts and Science, Changde 415000, China; Key Laboratory of Hunan Province for Control Technology of Distributed Electric Propulsion Air Vehicle, Changde 415000, China
Lu J: School of Computer and Electrical Engineering, Hunan University of Arts and Science, Changde 415000, China; Key Laboratory of Hunan Province for Control Technology of Distributed Electric Propulsion Air Vehicle, Changde 415000, China
Yang M: School of Computer and Electrical Engineering, Hunan University of Arts and Science, Changde 415000, China; Key Laboratory of Hunan Province for Control Technology of Distributed Electric Propulsion Air Vehicle, Changde 415000, China [ORCID]
Zhang Y: School of Computer and Electrical Engineering, Hunan University of Arts and Science, Changde 415000, China; Key Laboratory of Hunan Province for Control Technology of Distributed Electric Propulsion Air Vehicle, Changde 415000, China
Li J: School of Computer and Electrical Engineering, Hunan University of Arts and Science, Changde 415000, China; Key Laboratory of Hunan Province for Control Technology of Distributed Electric Propulsion Air Vehicle, Changde 415000, China
Lu J: School of Computer and Electrical Engineering, Hunan University of Arts and Science, Changde 415000, China; Key Laboratory of Hunan Province for Control Technology of Distributed Electric Propulsion Air Vehicle, Changde 415000, China
Journal Name
Energies
Volume
16
Issue
8
First Page
3356
Year
2023
Publication Date
2023-04-11
ISSN
1996-1073
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PII: en16083356, Publication Type: Journal Article
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LAPSE:2023.34797
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https://doi.org/10.3390/en16083356
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Apr 28, 2023
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