Stochastic Economic Dispatch Considering Demand Response and Endogenous Uncertainty
Stochastic Economic Dispatch Considering Demand Response and Endogenous Uncertainty
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DOI：
10.1109/pesgm52003.2023.10252780
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发表时间：
2022-12
期刊：
影响因子：
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通讯作者：
Nasrin Bayat;Qifeng Li;Joon-Hyuk Park
中科院分区：
文献类型：
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作者：
Nasrin Bayat;Qifeng Li;Joon-Hyuk Park
本文研究随机经济调度问题中的内生不确定性（EnU），其中内生不确定性指决策依赖的不确定性。在这个问题中，需求响应（DR）承诺是EnU的来源。然而，在现有文献中，EnU并没有得到很好的考虑。我们的第一项贡献是建立了EnU下涉及dr的SED优化模型（SED- dr -EnU）。由于EnU的存在，这是一个具有计算挑战性的问题。我们的第二个贡献是引入了一个耦合学习优化算法，该算法可以有效地解决所提出的SED-DR-EnU问题。该策略在IEEE 14总线和IEEE 39总线系统上进行了测试，结果表明在涉及dr的SED问题中考虑EnU的重要性。
This paper considers endogenous uncertainty (EnU) in the stochastic economic dispatch (SED) problem, where the endogenous uncertainty means decision dependent uncertainty. In this problem, demand response (DR) commitment is the source of the EnU. Nevertheless, EnU is not well considered in existing literature. Our first contribution is to build up an optimization model of DR-involved SED under EnU (SED-DR-EnU). This is a computational challenging problem due to the EnU. Our second contribution is introducing a coupled learning enabled optimization algorithm which can effectively solve the proposed SED-DR-EnU problem. This strategy is tested on the IEEE 14 bus, and IEEE 39 bus systems, and the results showed the importance of considering EnU in the DR-involved SED problem.