GM 2019 - Robust Optimization with Modern Heuristics for Power System Operation and Planning

This panel discusses new approaches that the apply Modern Heuristics to Robust Optimization (RO) in power system operation and planning. In recent years, the emergence of renewable energy has brought about uncertainties to power systems. Simple stochastic programming is popular as an optimization method with uncertain variables, but it is time-consuming because of setting up the additional conditions to the formulations. To overcome that, Alternative methods are required to deal with optimization problems with uncertain variables. RO focuses on the optimal solution in the worst case from a standpoint of risk minimization. This panel introduces Modern Heuristics (MH) into the RO problems to overcome a drawback of RO to fail to solve non-convex problems. It is expected that the use of MH allows decision makers to set up a strategy to the worst case in power systems.