Two-Stage Black-Start Optimization for Power Systems with Multi-Energy Microgrid as a Black-Start Unit
To reduce the losses caused by major power outages in power systems,a two-stage optimization method for black start of power systems is proposed using a multi-energy microgrid(MEMG)as a black-start source.First,the load-side integrated demand response and the operation characteristics of the electric,thermal,and gas physical energy storage devices in the MEMG are modeled as generalized energy storage.Next,a two-stage optimization model for black start of power systems using the multi-energy microgrid as a black-start source is proposed,with the first stage being the optimization sub-model for non-black-start source restoration path and the second stage being the black-start strategy optimization sub-model considering the power system and the MEMG.Then,a Dijkstra's algorithm-based solution method for the first stage sub-model and a mixed integer quadratic programming-based solution method for the second stage sub-model are respectively proposed.Finally,a case study of a real regional power system in China is conducted to verify the effectiveness and advantages of the proposed black start optimization method.
multi-energy microgrid(MEMG)black-startpower system restorationgeneralized energy storage
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