Optimal stochastic scenario-based allocation of smart grids’ renewable and non-renewable distributed generation units and protective devices

摘要: Abstract The smart grid reliability is dramatically affected due to system uncertainties. Although much efforts have been devoted developing the Monte Carlo simulation (MCS)-based or analytical methods for reliability-based optimal allocation distributed generation (DGs) and protective devices (PDs), there a research gap about probabilistic scenario-based optimization methods. This paper proposes novel stochastic evaluation method of grids’ PDs DGs. scenario reduction applied using k-means algorithm modified state, including clusters renewable-based malfunction concerned, which one most important contributions introduced method. clustering-based IEEE 33-bus test system. Test results infer that around 10% inaccuracy occurs in deterministic approaches without considering uncertainties DGs PDs. Obtained also imply impacts renewable DGs’ are more considerable than eventual malfunctions MCS-based used verify precision Moreover, by comparing with other available methods, it shown obtained 1.2% precise current ones.