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.
| Original language | English |
|---|---|
| Title of host publication | 10th IEEE International Conference on Renewable Energy Research and Applications, ICRERA 2021 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 65-70 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781665445245 |
| DOIs | |
| State | Published - 2021 |
Publication series
| Name | 10th IEEE International Conference on Renewable Energy Research and Applications, ICRERA 2021 |
|---|
Bibliographical note
Publisher Copyright:© 2021 IEEE.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- base load
- microgrid
- multi-EV charging/discharging
- power management
- PV power production
ASJC Scopus subject areas
- Energy Engineering and Power Technology
- Renewable Energy, Sustainability and the Environment
- Electrical and Electronic Engineering
- Safety, Risk, Reliability and Quality
- Control and Optimization
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