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A new measure to evaluate demand response effectiveness and its optimization

机译:评估需求响应效率及其优化的新措施

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Demand Response (DR) effectiveness is studied by assessing its effect on the energy market clearing price (EMCP). However, with DR, the problem needs to be constructed differently because the EMCP is no longer: (1) the price of the next available unit of electricity; or (2) the price paid by all loads.The conventional calculation of EMCP was designed for a single commodity - energy - but now there are two commodities - energy and DR - being procured simultaneously.Therefore, with DR, EMCP needs to be updated. We introduce the new concept of Actual Price, which reflects the price of the next available unit of electricity or the price paid by all loads when DR is used in addition to generation to meet demand. This is the first contribution in this paper.To circumvent this issue, the Federal Energy Regulatory Commission instituted the Net Benefit Test (NBT) under Order 745 precisely because the EMCP was not calculated accurately. The NBT mandates that benefits to the remaining consumers must equal or exceed the purchase cost of DR services. However, NBT does not ensure that Actual Price is minimized Therefore, as a second contribution, we propose a new two-stage optimal power flow (OPF) method, wherein the first stage determines optimal quantum of DR services that minimizes Actual Price and the second stage completes an OPF considering the optimal quantum of DR services. This method is applied to PJM generator bid offer data to demonstrate it delivers the best outcome for remaining consumers.
机译:通过评估其对能源市场清算价格(EMCP)的影响,研究了需求响应(DR)有效性。然而,对于DR,问题需要不同地构建,因为EMCP不再:(1)下一个电力单位的价格;或(2)所有负载支付的价格。EMCP的传统计算是为单一商品 - 能源设计的 - 但现在有两个商品 - 能源和博士 - 正在同时采购。因此,随着DR,EMCP需要更新EMCP 。我们介绍了实际价格的新概念,反映了下一个电力单位的价格或在DR外使用博士以满足需求时所有负载支付的价格。这是本文的第一个贡献。为了规避这个问题,联邦能源监管委员会正是在745阶下的净利度测试(NBT),因为EMCP未准确计算。对剩余消费者的益处的NBT规定必须平等或超过DR服务的购买费用。但是,NBT并不能确保实际价格最小化,因此作为第二次贡献,我们提出了一种新的两级最优功率流量(OPF)方法,其中第一阶段确定最佳的DR服务,最小化实际价格和第二级。阶段完成了考虑最佳博士服务的OPF。该方法应用于PJM生成器出价,提供数据以证明它为剩余消费者提供最佳结果。

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