Robust Coordinated Operational Planning of Power Distribution Systems Considering Electric Vehicle Aggregators

EasyChair Preprint 4321

Abstract

This paper proposes a robust model that optimizes the joint cooperation between the distribution systemoperator (DSO) and the electric vehicle aggregators (EVAs) considering the forecasting uncertainties. The developed cooperation model considers electric vehicles (EVs) in avehicle-to-grid operation, fuel-based distributed generators, and wind generators. The purpose of the proposed model is to optimize the operational planning that simultaneously minimizes the DSO’s energy cost and maximizes the revenue of each EVA. The proposed model is applied to a 14-bus distribution system to verify its effectiveness and robustness.

Keyphrases: distribution network, electric vehicle aggregators, electric vehicles, mixed-integer nonlinear programming, robust optimization

@booklet{EasyChair:4321,
  author    = {Maria Fotopoulou and Vasileios Evangelopoulos and Pavlos Georgilakis},
  title     = {Robust Coordinated Operational Planning of Power Distribution Systems Considering Electric Vehicle Aggregators},
  howpublished = {EasyChair Preprint 4321},
  year      = {EasyChair, 2020}}