A Resilience-Enhancing System Restoration Method Considering Voltage Balance

Kaiyuan Pang, Yizheng Wang, F. Wen, I. Palu, Zeng Yang, Minghui Chen, Hongwei Zhao, Huiyu Shang
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Abstract

Nowadays, power system resilience presents higher requirements for restorative self-healing strategies considering both restoring and operating performances. This paper sheds light on a resilience-enhancing restoration strategy considering voltage balance, which is formulated as a two-stage mixed integer linear programming (MILP) problem. An improved non-black-start (NBS) generator start-up model is presented in the first stage, and used to determine the restoration sequence of generators, power lines, and loads with maximum restored load capacity. Besides, a linear power flow model with transmission loss ignored is employed in the second stage, with an aim of attaining most balanced post-restoration voltage by readjusting the power outputs from generators. The IEEE 30-bus power system is used to demonstrate the correctness and effectiveness of the proposed two-stage strategy.
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一种考虑电压平衡的增强弹性系统恢复方法
当前,电力系统弹性对恢复性自愈策略提出了更高的要求,同时考虑了恢复性能和运行性能。本文提出了一种考虑电压平衡的恢复策略,将其表述为一个两阶段混合整数线性规划(MILP)问题。首先提出了一种改进的非黑启动(NBS)发电机启动模型,用于确定恢复负荷能力最大的发电机、电力线路和负荷的恢复顺序。第二阶段采用忽略传输损耗的线性潮流模型,通过调整发电机输出功率,使恢复后电压达到最平衡。以IEEE 30总线电力系统为例,验证了所提两阶段策略的正确性和有效性。
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