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Comprehensive Operational Planning Framework for Self-Healing Control Actions in Smart Distribution Grids

机译:智能配电网中自愈控制动作的综合操作计划框架

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Self-healing is a major driving force in the smart grid vision. This paper proposes a comprehensive design and operational planning framework to generate optimum self-healing control actions in a distribution system. For this purpose, a distribution system with optimally allocated distributed generators (DGs) is divided into a set of microgrids with high self-adequacy through allocation of distributed energy storage resources (DESRs) and distributed reactive sources (DRSs). Afterwards, by using the predicted load and generation of renewable-based distributed generators for the next hour of the day and other important factors (self-adequacy in the unfaulted microgrids, total distribution system's energy losses and the total supplied loads according to their requested reliability), the optimum self-healing strategy is planned for the system for all possible future faults. The IEEE 123-bus distribution system is selected as the test system; optimum microgrids are designed and several case studies are presented to demonstrate the effects of optimization coefficients on the optimum self-healing control actions.
机译:自我修复是智能电网愿景的主要驱动力。本文提出了一个综合的设计和运营计划框架,以在配电系统中产生最佳的自愈控制动作。为此,通过分配分布式储能资源(DESR)和分布式无功能源(DRS),将具有最佳分配的分布式发电机(DG)的配电系统分为一组具有高自足性的微电网。之后,通过在一天的下一个小时使用预测的负荷和可再生能源的分布式发电机的发电量以及其他重要因素(无故障微电网的自给性,总配电系统的能量损失和根据其要求的可靠性提供的总负荷) ),针对所有可能的未来故障,为系统计划了最佳的自我修复策略。选择IEEE 123总线分配系统作为测试系统;设计了最佳微电网,并进行了一些案例研究,以证明优化系数对最佳自愈控制作用的影响。

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