Stochastic/Robust Hybrid Optimal Dispatching of Distribution Networks Considering Fast Charging Stations With Photovoltaic and Energy Storage

Abstract

Focusing on the problems of line congestion, voltage violation, and increased network loss caused by the charging loads coming from the new fast charging stations in the regional distribution networks, this paper proposes a day-head optimal scheduling method for distribution networks with fast charging stations with photovoltaic and energy storage. The active/reactive power of energy storage is optimized to improve the operational problems caused by large scale charging loads access. Firstly, the random probability scenarios of the fast charging loads are realized based on the historical vehicle travel data and the user travel behavior simulation. Then, the uncertainties of the fast charging loads, PV power and the original load of the distribution networks are addressed via a hybrid stochastic-robust optimization model based on second-order cone relaxation and dual theory. Finally, the effectiveness of the proposed method is verified in a 13 node network and an improved ieee-33 node distribution network coupling system, indicating that the proposed method is able to improve the economy as well as the operational reliability of the distribution networks under uncertainty environments.