Sharing Coefficient-Based Price Signals for Demand Response in Renewable Energy Communities
Alireza Shooshtari Antonio Pepiciello Jose Luis Dominguez-Garcia
作者信息
Abstract
Renewable energy communities can increase local photovoltaic (PV) use, but feeder-level surplus can still cause reverse power flow in low-voltage networks. Existing sharing coefficient methods are mainly used ex-post for surplus allocation and billing, so they do not directly guide demand toward hours and feeders where shared PV can reduce export. This paper proposes a sharing coefficient-based demand response framework that converts dynamic proportional allocation outcomes into household specific day-ahead price signals. The feeder-aware design first shares surplus within each feeder, while the feeder-agnostic design shares surplus through a single community pool. The energy community manager iteratively computes the allocation from submitted demand and PV forecasts, decomposes purchased energy into same-feeder, inter-feeder, and grid-import components, and coordinates household load reshaping through a convex optimization model. Using measured profiles from 15 households and AC power flow analysis, the framework reduces feeder reverse energy by 45.0% and 44.6% on selected high reverse energy days, and by 69.0% and 66.3% over the annual window, for the feeder-aware and feeder-agnostic cases, respectively. These results show that sharing coefficients can be used not only for ex-post billing, but also as operational price signals for demand response, with feeder-aware allocation providing an additional network benefit by accounting for household location in the low-voltage network.引用本文复制引用
Alireza Shooshtari,Antonio Pepiciello,Jose Luis Dominguez-Garcia.Sharing Coefficient-Based Price Signals for Demand Response in Renewable Energy Communities[EB/OL].(2026-07-10)[2026-07-22].https://arxiv.org/abs/2607.09357.学科分类
发电、发电厂/输配电工程/电气化、电能应用
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