Location Planning of Fast Charging Station considering its Impact on the Power Grid Assets

TL;DR

This paper presents a multi-objective location planning model for fast charging stations that considers their impact on power grid assets and is solved using the cross-entropy method, demonstrated on a synthetic network.

Contribution

It introduces a novel multi-objective planning model for FCS location considering grid impacts and applies the cross-entropy method for solution.

Findings

The model effectively balances charging service and grid impact.

The cross-entropy method successfully solves the planning problem.

Validation on a synthetic network demonstrates the approach's feasibility.

Abstract

Under the ambition of boosting Plug-in Electric Vehicle (PEV) charging speed to a level comparable to the traditional refueling, Fast Charging Station (FCS) has been integrated into power distribution system. The location planning of FCS must allow for satisfactory charging service for PEV users as well as mitigate the detrimental effects on power grid caused by uncertainty and impulsiveness of charging demand. This paper proposed a location planning model for FCS, taking into account its impacts on the critical power grid assets. The multi-objective planning model simultaneously considered the role of FCS in the electricity and transportation sectors. This planning model is solved by the cross-entropy (CE) method. The validity and effectiveness of the CE approach have been demonstrated on a synthetic coupled network.