Advanced Techniques of Modern Heuristics for Robust Optimization in Smart Grid

In this panel, Robust Optimization (RO) which means optimization methods under uncertainty is overviewed and discussed to find new directions with Modern Heuristics in Smart Grid. Recently, the emergence of renewable energy, demand response and EVs has brought about uncertainties to smart grid. As a result, deterministic optimization methods have the limitations to handle the uncertainties. 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 the optimization problems. As a candidate, RO is expected to aim at evaluating the optimal solution in the worst case to minimize risks. Most of the RO formulations are based on the linear programming (LP) with continuous variables so that there are limitations to what LP can solve in nonlinear Smart Grid. This panel covers new methods that introduce Modern Heuristics for the nonlinear optimization into the RO problems to overcome drawbacks of the conventional methods. So, it is expected that the use of Modern Heuristics allows Smart Grid decision makers to provide risk free solutions to the worst case in smart grid efficiently.