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On Optimizing Demand Response Management Performance for Microgrids under Communication Unreliability Constraint

机译:在沟通不可靠性约束下优化微电网需求响应管理性能

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When studying the real-time pricing in smart grids, there is a common assumption that a perfect bidirectional communication network is built between supply and demand ends. However, this assumption is unrealistic, especially in a microgrid system which includes renewable energy resources. In this paper, we consider the uncertainty of imperfect communications in both supply and demand ends, which affects the performance of the microgrid system in terms of the packet loss ratio of the power demand information transmission and the forecasting accuracy ratio of the renewable energy generation. We analyze the impacts of unreliable communications on the demand response management (DRM) performance of real-time pricing in the microgrid system. A joint optimization problem is therefore formulated in order to maximize the DRM performance of the microgrid system. Leveraging the dual decomposition, the proposed optimization problem is solved via two sub-problems. Simulation results reveal the impacts of imperfect communications on the DRM performance.
机译:在智能电网中研究实时定价时,存在完美的双向通信网络在供需和需求结束之间建立了完美的双向通信网络。然而,这种假设是不现实的,尤其是在包括可再生能源资源的微电网系统中。在本文中,我们考虑供应和需求中不完美通信的不确定性,这在电力需求信息传输的零件丢失比和可再生能源的预测精度比的方面影响了微电网系统的性能。我们分析了微电网系统实时定价的需求响应管理(DRM)性能的影响。因此配制了联合优化问题,以最大化微电网系统的DRM性能。利用双重分解,通过两个子问题解决了所提出的优化问题。仿真结果揭示了不完美通信对DRM性能的影响。

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