A Development of Grid-islanding Planning Method

—Real-time Optimization of Grid Configuration—

Abstract

This paper proposes a grid-islanding planning method for real-time optimization of grid configuration. Recently, the number of natural disasters and the needs for resilience enhancement technologies have been increasing. As one of these solutions, grid-islanding technology is attracting attention. For grid-islanding, it is desirable to expand the power supply area to reduce the outage damage as much as possible. However, if we expand the area too large, it is difficult to maintain its stability and there is a risk of re-outage. Therefore, we need to propose an appropriate grid-islanding planning method that minimizes the outage damage with maintaining the grid stability. In addition, if the optimal plan is searched by a brute force approach with its huge planning time, fast start of the first restoration and replanning according to dynamic situation changes can't be done. To realize the method, we combined mathematical planning and stability analysis and added a stability estimation function to efficiently search for the optimal plan avoiding the brute force approach. The method was tested with an outage scenario based on the typhoon case and its planning time was about 10 minutes.