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• W3048434013 abstract "This paper studies the feasibility of integrating a community energy storage (CES) system with rooftop photovoltaic (PV) power generation for demand-side management of a neighbourhood while maintaining the distribution network voltages within allowed limits. To this end, we develop a decentralized energy trading system between a CES provider and users with rooftop PV systems. By leveraging a linearized branch flow model for radial distribution networks, a voltage-constrained leader-follower Stackelberg game is developed wherein the CES provider maximizes revenue and the users minimize their personal energy costs by trading energy with the CES system and the grid. The Stackelberg game has a unique equilibrium at which the CES provider maximizes revenue and the users minimize energy costs at a unique Nash equilibrium. A case study, with realistic PV power generation and demand data, confirms that the energy trading system can reduce peak energy demand and prevent network voltage excursions, while delivering financial benefits to the users and the CES provider. Further, simulations highlight that, in comparison with a centralized system, the decentralized energy trading system provides greater economic benefits to the users with less energy storage capacity." @default.
• W3048434013 created "2020-08-18" @default.
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• W3048434013 date "2021-03-01" @default.
• W3048434013 modified "2023-10-04" @default.
• W3048434013 title "Network-Aware Demand-Side Management Framework With A Community Energy Storage System Considering Voltage Constraints" @default.
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• W3048434013 doi "https://doi.org/10.1109/tpwrs.2020.3015218" @default.
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