Scenario-based Multi-Energy Power Distribution System Planning Solution for Energy Loss Minimization

Abstract

This paper presented a distributed system planning (DSP) solution for identifying an optimal fuel mix in the electric power distribution networks with the minimized power line losses. The optimal fuel mix consists of both renewable energy-based distributed renewable generators, i.e. wind turbines and photovoltaic as well as the conventional fuel-based DG units. In this work, the method based on the heuristic moment matching (HMM) is firstly adopted to generate WT-PV-LD operational scenarios that combine all system uncertainties of DG generation and power demand. Such a scenario matrix is then incorporated into the robust DSP problem formulation. The proposed solution is evaluated using a 53 bus test network. Finally, the HMM-based planning approach is validated through simulation experiments and the effectiveness is confirmed.