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Incentive Design for Flexibility Provisions From Residential Energy Hubs in Smart Grid

机译:智能电网住宅能源集线器的灵活性促销设计

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Transforming residential loads to residential energy hubs (REHs) and hence creating a flexibility in their energy consumption, can offer significant benefits to the power grid, such as peak reduction, congestion relief and capacity deferral. In this article a novel framework is proposed to simultaneously determine the optimal incentive paid by the local distribution company (LDC) to residential customers and their optimal level of participation in transforming to REHs, considering the economic benefits of both parties. The proposed framework models the relationship between customers' participation and incentives offered by the LDC. A Monte Carlo simulation based optimization approach is employed to create a large dataset of the incentives (omega, rho(Inc)) payable by the LDC, and a desired internal rate of return (IRR) by the residential customer, so as to cover the wide range of possible IRRs the customers may have, and the impact of the incentives (omega, rho(Inc)) on each other. Numerical simulations considering a 33-bus distribution system show that the proposed framework is effective and can economically benefit the LDC and residential customers, while also achieving peak load reduction and improving distribution system operation.
机译:改造住宅负载住宅能源中心(REHs),并因此创造了能源消耗的灵活性,可以提供给电网显著的好处,如峰值降低,纾缓交通挤塞和能力推迟。在这篇文章中一个新的框架,提出了同时确定由当地配送公司(LDC)支付给居民用户的最优激励和在变换到REHs,考虑双方的经济利益他们参与的最佳水平。拟议的框架模型由最不发达国家提供客户的参与和激励之间的关系。蒙特卡洛模拟基于优化方法被用于创建一个大数据集的激励(欧米加,ρ-(INC))的LDC,以及由住宅用户返回(IRR)的期望的内部速率应付,以便覆盖所述宽范围的可能的内部收益率的客户可具有,和在彼此的激励(欧米加,ρ-(INC))的影响。数值模拟考虑33总线分配系统表明,该框架是有效的,可以在经济上受益的最不发达国家和住宅客户,同时也实现高峰负荷降低和提高配电系统运行。

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