In this paper, we formulate a RLOPF (risk-limiting optimal power flow) problem for systems with high penetration of wind power to address the issue of possibly violating the security constraints in power systems due to the volatility of wind power generations. To cope with the computational...

Utilizing renewable energy sources to reduce carbon emission and minimizing the fuel cost for energy saving in the OPF (optimal power flow) problem will contribute to reducing the global warming effect from the power generation sector. In this paper, we propose a DPOPF (distributed and parallel...

In this paper, we combine evolution strategy (ES) with ordinal optimization (OO), abbreviated as ES + OO, to solve real-time combinatorial stochastic simulation optimization problems with huge discrete solution space. The first step of ES + OO is to use an artificial neural network (ANN) to...