Heuristic Moment Matching based Scenario Generation for Regional Energy Network Planning considering the Stochastic Generation and Demands

Abstract

In this paper, the Heuristic Moment Matching (HMM) is adopted and evaluated in the investigation of regional energy network planning considering the uncertainties introduced by the stochastic generation and demands. The adoption of the scenario generation solution can effectively include the uncertainties in the system planning process in the multi-energy networks, including wind turbines (WTs) and solar photovoltaic (PVs). The scenario generation approach is implemented and the effectiveness is validated through numerical experiments. Finally, the scenario generation approach is adopted through a 53 bus test network and the effectiveness is confirmed through comparison against the conventional planning solution.