Robust optimization-based AC optimal power flow considering wind and solar power uncertainty

In this paper, robust optimization based AC optimal power flow (ROPF) considering wind and solar power uncertainty is proposed. ROPF is used to determine optimal power dispatch and locational marginal prices in a day-ahead market while limiting the risk of dispatch cost variation. ROPF is tested on PJM 5-bus system integrating wind and solar PV generation. Simulation results indicate that ROPF results in a lower expected dispatch cost at the same risk preference level than a stochastic nonlinear programming (SNP) approach. Accordingly, it is potentially useful for day-ahead market operator in policy and decision making.