Optimized risk limits for stochastic optimal power flow

摘要

Higher shares of electricity generation from renewable energy sources has led to larger fluctuations and increased uncertainty in power systems operation. To enable secure operation, several methods have been proposed that allow the power system operator to plan operation such that the risk of constraint violation is limited to below a predefined acceptable value. Reducing risk not only increases system security, but also the operational cost. Therefore, the risk limit must be chosen carefully to reflect an appropriate trade-off between cost and security. In this paper, we propose a stochastic optimal power flow framework that co-optimizes the risk limits and the generation dispatch, and achieves an optimal balance between risk reduction and cost of operation. We demonstrate the method through an implementation on IEEE test cases.