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Hierarchical framework for optimal operation of multiple microgrids considering demand response programs

机译:考虑需求响应程序的多个微电网最佳运行的分层框架

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This paper proposes a framework for the optimal operation of multi Micro Grids (multiMGs) based on Hybrid Stochastic/Robust optimization. MultiMGs with various characteristics are considered in this study. They are connected to different buses of their Up-Stream-Network (USN). Day-Ahead (DA) and Real-Time (RT) markets are contemplated. The proposed optimization structure in this paper is a bi-level one since both MGs operators' and USN operator's decisions are considered in the proposed model. The advantages of using time-of-use demand response programs on the optimal operation of USN in the presence of multiMGs are investigated. The uncertainty of different components, including wind units, photovoltaic units, plug-in electric vehicles, and DA market price is captured by using stochastic programming. In addition, robust programming is utilized for contemplating the uncertainty of the RT market price. Furthermore, the grid-connected and island modes of MGs' operation are investigated in this paper, discussing also the virtues of utilizing multiMGs over single MG. Finally, IEEE 18-bus and 30-bus test systems are considered for MGs and USN networks respectively to scrutinize the simulation results.
机译:本文提出了一种基于混合随机/鲁棒优化的多微电网(multiMG)最优运行的框架。在这项研究中考虑了具有各种特征的MultiMG。它们连接到其上游网络(USN)的不同总线。可以考虑日前(DA)和实时(RT)市场。由于建议模型中同时考虑了MG运营商和USN运营商的决策,因此本文提出的优化结构是一种双层结构。研究了在使用multiMG的情况下,在USN的最佳操作上使用使用时间需求响应程序的优势。通过使用随机编程,可以捕获包括风能装置,光伏装置,插电式电动汽车和DA市场价格在内的不同组件的不确定性。另外,使用鲁棒的编程来考虑RT市场价格的不确定性。此外,本文还研究了MG的并网和孤岛模式,并讨论了在单个MG上利用multiMG的优点。最后,分别针对MG和USN网络考虑IEEE 18总线和30总线测试系统,以检查仿真结果。

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