柔性边界微电网的前瞻性纠偏修复

S. Konar, A. Srivastava
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引用次数: 3

摘要

柔性边界微电网技术有助于提高配电网的自愈能力。本文提出了一种集中模型预测控制(MPC)策略,用于在馈线中断时形成灵活的边界mg,以保持供电的连续性。该控制系统通过DN划分、径向拓扑、分布式发电机(dg)和储能系统(ess)的控制来优化电网恢复。由于存在线路开关、ESS动态、DN操作约束,MPC算法的核心本质上是非凸的。解决了等效混合整数线性规划(MILP)问题,使其更易于管理。最后,在IEEE-33总线系统中进行了实例验证,结果表明了该方法的可行性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Look - Ahead Corrective Restoration for Microgrids with Flexible Boundary
Flexible boundary microgrid (MG) technology aids in the self-healing capability of the distribution network (DN). This paper develops a centralized model predictive control (MPC) strategy to form flexible boundary MGs with the goal of retaining continuity of power supply, during the outage of a feeder. The proposed control system optimizes grid restoration through DN partitioning, enforcing radial topology, control of distributed generators (DGs) and energy storage systems (ESSs). The core of the MPC algorithm is non-convex in nature due to the presence of line switches, dynamics of ESS, operational constraints of the DN. An equivalent mixed integer linear programming (MILP) problem is solved to make the solution more manageable. Finally, case study is verified in IEEE-33 bus system and the results show the feasibility and effectiveness of the proposed approach.
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