| 丁津津,徐斌,王海伟,徐晓,蓝鑫杰,吴红斌.考虑用户参与V2G放电意愿的电动汽车实时调度策略[J].电力需求侧管理,2026,28(3):44-51 |
| 考虑用户参与V2G放电意愿的电动汽车实时调度策略 |
| Real-time scheduling strategy for electric vehicles considering users' willingness to participate in V2G discharge |
| 投稿时间：2025-11-26 修订日期：2026-01-18 |
| DOI：10.3969/j.issn.1009-1831.2026.03.007 |
| 中文关键词: 电动汽车 用户心理 动态定价 车网互动 滚动优化 |
| 英文关键词: electric vehicle user psychology dynamic pricing vehicle to grid rolling optimization |
| 基金项目:国网安徽省电力有限公司科技项目(5212A0240001) |
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| 中文摘要: |
| 为充分发挥电动汽车(electric vehicle,EV)集群的可调度潜力,提出了一种考虑用户参与车网互动(vehicle-to-grid,V2G)放电意愿的EV实时充放电调度策略。首先,考虑用户参与调度时的电池损耗,为用户提供额外经济补贴,并基于消费者心理学引入响应率函数量化了用户放电意愿随补贴价格变化的不确定性关系。其次,利用电网调度中心的实时负荷预测和EV在线状态,在每个调度周期内以滑动窗口方式快速重优化充放电功率指令,实现自适应实时调控。最后,通过算例仿真验证了所提策略能够在实时应对EV集群随机接入和电网负荷波动的同时,实现配电网侧与用户侧的双重优化。 |
| 英文摘要: |
| To fully exploit the dispatchable potential of electric-vehicle (EV) clusters, a real-time EV charging and discharging scheduling strategy is proposed that takes into account users' willingness to participate in vehicle-to-grid (V2G) discharging. First, considering the battery degradation incurred during participation in scheduling, an additional economic subsidy is provided, and based on consumer psychology, a response-rate function is introduced to quantify the uncertainty in how users' discharge willingness varies with the subsidy level. Second, using the grid dispatch center's real-time load forecasts together with the online status of EVs, charging and discharging power commands are rapidly re-optimized in each scheduling cycle via a sliding-window mechanism to achieve adaptive real-time control. Finally, case-study simulations verify that the proposed strategy can respond in real time to random EV-cluster access and grid load fluctuations while achieving dual optimization on both the distribution-grid side and the user side. |
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