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      Electric Vehicle Charging Management in Smart Energy Communities to Increase Renewable Energy Hosting Capacity

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      https://www.riss.kr/link?id=A109164008

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      Abnormal climates due to global warming have emerged as a big concern in the global community. To mitigate climate change and achieve sustainability, distributed energy resources (DERs), including solar and wind, have been recently deployed in power s...

      Abnormal climates due to global warming have emerged as a big concern in the global community. To mitigate climate change and achieve sustainability, distributed energy resources (DERs), including solar and wind, have been recently deployed in power systems. As the penetration level of DERs has increased, however, it caused a multitude of issues in the power systems, such as voltage fluctuation in the distribution network limiting renewable hosting capacity. On the other hand, the electric vehicle (EV) industry is rapidly growing to facilitate the transition to a carbon-neutral community, illuminating the potential of EVs as a flexible grid asset to mitigate some of the issues and improve grid operation, if properly exploited. To explore the potential of EVs, this paper proposes an EV scheduling strategy. By using an optimal EV charging scheduling proposed, distribution system operators (DSOs) can minimize their operating costs and stably operate the system with a high level of DERs. To validate the method, a modified IEEE 33-bus system with DERs is developed. The case study shows the proposed scheduling strategizes EV charging to reduce the cost of PV curtailment. In the study, the method outperforms the renewable-only case with curtailment by 4.97% in DSO cost. It also demonstrates its potential to increase the renewable hosting capacity by harmonizing EV charging with renewables.

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      목차 (Table of Contents)

      • Abstract
      • I. INTRODUCTION
      • II. MAIN CONCEPT
      • III. CHARGING SCHEDULING STRATEGY
      • IV. CASE STUDY
      • Abstract
      • I. INTRODUCTION
      • II. MAIN CONCEPT
      • III. CHARGING SCHEDULING STRATEGY
      • IV. CASE STUDY
      • V. CONCLUSION
      • REFERENCES
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