Power Management of Microgrid Integrated with Electric Vehicles in Residential Parking Station

TL;DR

This paper presents a multi-objective power management algorithm for microgrids with electric vehicles, optimizing cost, stability, and renewable energy use in residential parking stations.

Contribution

It introduces a novel charging/discharging algorithm that balances EVs and PV power, reducing costs and enhancing grid stability in microgrid systems.

Findings

Improved power management performance over existing methods.

Effective integration of EVs as energy storage to reduce grid dependency.

Enhanced utilization of photovoltaic power in microgrid operation.

Abstract

Lately, increasing number of electric vehicles (EVs) in residential parking station has become an important issue, because excessive number of EVs can destabilize the power system during peak hours with high charging power requested. When the power system of the residential parking station takes the structure of microgrid (MG), power provision for the EVs requires efficient power management scheme. To minimize the maintenance cost of the MG and maintain the grid stability, the MG needs to balance the charging/discharging power of EVs in the parking station. To achieve these goals, this paper proposes a charging/discharging algorithm suitable for the power management of the MG configured with EVs. Multi-objective optimization is taken to MG to minimize the maintenance cost and the grid dependency while maximizing the use of photovoltaic (PV) power and the utilization of EVs as energy storage systems (ESSs). In our approach, to increase the usefulness of discharging power of EVs, the base load and the PV power production are considered together for power management to mitigate imbalances incurred between them. As a result, proposed approach demonstrates superior power management performance as compared to other comparable ones.