A New Method for Capacity Credit Estimation of Wind Power
نویسنده
چکیده
Significant amounts of wind power are being integrated into power grids in recent years. However, due to intermittent characteristic of wind power, it is usually difficult to determine the appropriate penetration level to ensure a specified reliability requirement. For this purpose, the proper calculation of wind power capacity credit (WPCC) is of particular importance which is useful in both planning and operation stages of hybrid power systems with multiple power sources. The capacity credit of wind power is usually calculated based on a reliability index termed Loss of Load Expectation (LOLE). WPCC is the amount of wind power which is able to achieve the LOLE identical to the dispatchable power sources. In this study, WPCC estimation is formulated as an optimization problem, and an intelligent search method called particle swarm optimization is used to automatically search out the WPCC. It has turned out to be a viable scheme in estimating WPCC.
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