리스크 기반 최적 조류 계산을 통한 도시형 전력네트워크의 리스크 관리

초록

Due to problems such as fossil fuel depletion and climate change, research on microgrids is being actively conducted. Among them, the urban power network, in which multiple microgrids are connected, is regarded as the future power grid. However, these urban power network systems ensure that the output of renewable power is uncertain according to weather factors, and that the characteristics of intermittent are present as a risk in power network stability. This study analyzed the stability according to climate change scenarios and contingencies through an urban level power network test system in which several local level networks are connected. The power data between local level networks through the consensus algorithm was expressed as a risk index using risk based optimal power flow (RBOPF) and demonstrated superiority compared to the existing security constrained optimal power flow (SCOPF).

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