Robust distribution system planning considering the uncertainties of renewable distributed generation and electricity demand

This work proposes a robust distributed system planning (DSP) method with the consideration of uncertainties of wind turbine (WT) generation, photovoltaic (PV) generation and electricity demand. A heuristic moment matching method is used to model the WT-PV-ED scenario matrix that captures the stochastic features, i.e. expectation, standard deviation, kurtosis, and correlation of WT generation, PV generation and electricity demand. Then, the scenario matrix is used to formulate a multi-objective index based robust DSP method for minimizing the active and reactive power losses, and voltage deviation in the distribution system. A 53-bus distribution system is used as a case study and the results show the effectiveness of proposed DSP method. The robust DSP solution is compared against the deterministic DSP solution that ignores uncertainty, showing that the proposed DSP method leads to significant reduction in the active and reactive power losses, along with voltage deviation.