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Electric vehicle charging management using location-based incentives for reducing renewable energy curtailment considering the distribution system

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  • Park, Sung-Won
  • Cho, Kyu-Sang
  • Hoefter, Gregor
  • Son, Sung-Yong

Abstract

There have recently been an increasing number of variable renewable energy curtailment cases to manage power system stability problems caused by the overproduction of variable renewable energy. Variable renewable energy curtailment can be a factor that hinders the development of the power industry by reducing the economic viability of variable renewable energy operators and the efficiency of energy use. In this study, an economic curtailment methodology using electric vehicles to mitigate energy waste and economic losses is proposed. Charging point operators participate in incentive-based demand response programs with their charging station loads under curtailment situations. A location-based incentive algorithm considering distribution system constraints is proposed to avoid distribution system congestion. A response model based on random arrival electric vehicles considering demand and price elasticity, time pressure, and charging pressure is developed. The proposed methodology is verified through case studies based on the environment of Jeju Island in Korea. The case study results show that the proposed methodology can use energy more economically and effectively than conventional variable renewable energy curtailment methodology.

Suggested Citation

  • Park, Sung-Won & Cho, Kyu-Sang & Hoefter, Gregor & Son, Sung-Yong, 2022. "Electric vehicle charging management using location-based incentives for reducing renewable energy curtailment considering the distribution system," Applied Energy, Elsevier, vol. 305(C).
    • Handle: RePEc:eee:appene:v:305:y:2022:i:c:s0306261921010400
    DOI: 10.1016/j.apenergy.2021.117680
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    9. Abdullah Aljumah & Ahmed Darwish & Denes Csala & Peter Twigg, 2024. "A Review on the Allocation of Sustainable Distributed Generators with Electric Vehicle Charging Stations," Sustainability, MDPI, vol. 16(15), pages 1-17, July.
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