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.

中文翻译：

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智能电网中住宅能源枢纽的灵活性规定的激励设计

将住宅负载转换为住宅能源枢纽（REH），从而在能源消耗方面创造灵活性，可以为电网带来重大好处，例如减少峰值，缓解拥堵和推迟容量。在本文中，提出了一个新颖的框架，以同时考虑到双方的经济利益，同时确定本地配电公司（LDC）向居民客户支付的最优激励以及他们向REH转型的最优参与水平。拟议的框架模拟了客户参与和最不发达国家提供的激励措施之间的关系。采用基于蒙特卡洛模拟的优化方法来创建激励的大型数据集（ $ \ omega $ ， $ \ rho ^ {Inc} $ ）由最不发达国家（LDC）支付，以及住宅客户所需的内部收益率（IRR），以涵盖客户可能具有的各种可能的内部收益率（IRR）以及激励措施的影响（ $ \ omega $ ， $ \ rho ^ {Inc} $ ）彼此之间。考虑33总线配电系统的数值模拟表明，该框架是有效的，并且可以在经济上使最不发达国家和居民用户受益，同时还可以降低峰值负荷并改善配电系统的运行。