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.
Subject
Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous),Building and Construction
Reference36 articles.
1. Modeling the Energy Cooperation between Regionally Interconnected Aggregators using Bilateral Agreements;Ullah;IOP Conference Series: Earth and Environmental Science,2022
2. Virtual power plant models and electricity markets-A review;Naval;Renew. Sustain. Energy Rev.,2021
3. Optimisation and Management of Virtual Power Plants Energy Mix Trading Model;Ullah;Int. J. Renew. Energy Dev.,2022
4. Unar, N.A., Mirjat, N.H., Aslam, B., Qasmi, M.A., Ansari, M., and Lohana, K. Modeling and Analysis of Load Growth Expected for Electric Vehicles in Pakistan (2021–2030). Energies, 2022. 15.
5. Shayegan-Rad, A., and Zangeneh, A. 7-VPP’s Participation in Demand Response Aggregation Market. Scheduling and Operation of Virtual Power Plants, 2022.
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献