LAPSE:2023.8471v1
Published Article
LAPSE:2023.8471v1
The Development of a Cross-Border Energy Trade Cooperation Model of Interconnected Virtual Power Plants Using Bilateral Contracts
February 24, 2023
Abstract
By coordinating the operation of regionally interconnected virtual power plants (VPPs), the growing penetration problem of renewable energy sources (RESs) into the power system can be addressed. This study presents an interactive trading cooperation model of regionally interconnected VPPs using bilateral contracts. The proposed model maximizes overall electricity market social welfare (SW) (i.e., maximization of consumer benefits while minimizing energy costs). The focus of the proposed approach is to design and develop a parallel energy exchange cooperation model of interconnected VPPs, ensuring the operational efficiency and reliability of interconnected power systems over the planning horizon. Given that adjacent VPPs may have differences in their energy generation and usage patterns, a scenario tree method is used to model the uncertainties associated with solar irradiation and load demand. A case study of two interconnected VPPs is used, the operational scenario is designed, and the corresponding computational model is developed. The results highlight that the proposed approach gives VPPs the option to utilize their internal network’s maximum capacity. As a result, there will be less reliance on the main grid for interconnected VPPs, and an improvement in key performance indicators, including the cost of the VPPs systems and renewable power variations.
Keywords
energy market, energy storage systems, Modelling, Optimization, renewable energy sources, virtual power plant
Suggested Citation
Ullah Z, Arshad, Ahmad J. The Development of a Cross-Border Energy Trade Cooperation Model of Interconnected Virtual Power Plants Using Bilateral Contracts. (2023). LAPSE:2023.8471v1
Author Affiliations
Ullah Z: Institute for Globally Distributed Open Research and Education (IGDORE), Cleveland, Middlesbrough TS6 6UX, UK [ORCID]
Arshad: School of Computing, Engineering and Built Environment, Glasgow Caledonian University, Glasgow G4 0BA, UK
Ahmad J: School of Computing, Edinburgh Napier University, Edinburgh EH14 1DJ, UK [ORCID]
Journal Name
Energies
Volume
15
Issue
21
First Page
8171
Year
2022
Publication Date
2022-11-02
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en15218171, Publication Type: Journal Article
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LAPSE:2023.8471v1
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https://doi.org/10.3390/en15218171
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Feb 24, 2023
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