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.

最近有越来越多的可变可再生能源限电案例来管理由可变可再生能源生产过剩引起的电力系统稳定性问题。可变可再生能源限电会降低可变可再生能源运营商的经济可行性和能源使用效率，从而成为阻碍电力行业发展的一个因素。在这项研究中，提出了一种使用电动汽车来减少能源浪费和经济损失的经济削减方法。充电站运营商在限电情况下通过充电站负载参与基于激励的需求响应计划。为了避免配电系统拥塞，提出了一种考虑配电系统约束的基于位置的激励算法。建立了考虑需求和价格弹性、时间压力和充电压力的基于随机到达电动汽车的响应模型。所提出的方法通过基于韩国济州岛环境的案例研究得到验证。案例研究结果表明，与传统的可变可再生能源限电方法相比，所提出的方法可以更经济、更有效地利用能源。