AI 中文总结
研究可再生能源社区中因馈线级盈余导致的反向潮流问题，提出基于共享系数的需求响应框架，通过馈线感知和馈线无关设计，将动态比例分配结果转换为价格信号，经实验验证可有效减少反向能量，为需求响应提供新的运行价格信号。
AI 中文摘要
可再生能源社区能增加本地光伏利用，但馈线级盈余仍会导致低压网络反向潮流。现有共享系数方法主要用于事后盈余分配和计费，不能直接引导需求至共享光伏可减少出口的时段和馈线。本文提出基于共享系数的需求响应框架，将动态比例分配结果转换为家庭特定的日前价格信号。通过馈线感知设计在各馈线内共享盈余，馈线无关设计通过单一社区池共享盈余。能源社区管理者迭代计算分配，分解购买能源并协调家庭负荷重塑。利用15户测量数据和交流潮流分析，该框架在选定高反向能量日分别将馈线反向能量减少45.0%和44.6%，年度窗口内分别减少69.0%和66.3%。结果表明共享系数不仅可用于事后计费，还可作为需求响应的运行价格信号，馈线感知分配通过考虑家庭在低压网络中的位置提供额外网络效益。
英文摘要
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.
