| 黄光耀,米阳,王晓虎,马思源,孟凡斌,南钰.台风天气下提升配电网弹性的多灵活性资源规划研究[J].电力需求侧管理,2026,28(4):79-86 |
| 台风天气下提升配电网弹性的多灵活性资源规划研究 |
| Research on multi-flexibility resource planning to improve the resilience of distribution network under typhoon weather |
| 投稿时间：2025-10-18 修订日期：2025-12-29 |
| DOI：10.3969/j.issn.1009-1831.2026.04.012 |
| 中文关键词: 分布式电源 电动汽车 条件生成对抗网络 弹性配电网 多目标双层规划 |
| 英文关键词: distribution generation electric vehicles conditional generative adversarial networks resilient distribution network multi-objective double-layer planning |
| 基金项目:国家自然科学基金资助项目(52477107)；上海市自然科学基金项目(22ZR1425500) |
|
| 摘要点击次数: 0 |
| 全文下载次数: 0 |
| 中文摘要: |
| 近年来极端灾害天气频发给配电网的安全运行带来极大影响,因此灾前制定合理的规划策略是提高配电网弹性的有效途径。随着分布式电源和电动汽车用户数量快速增长,提出一种台风天气下提升配电网弹性的多灵活性资源规划策略。首先,通过构建台风风速-故障率关联模型,并结合条件生成对抗网络和信息熵筛选典型台风灾害场景。其次,建立以年综合成本最小为目标的上层规划模型,兼顾运行成本与性能损失面积的下层多目标优化模型,创新性将电动汽车充电桩规划纳入模型,并利用电动汽车的分布式和移动特性增强电网灵活性和弹性。然后,利用非支配排序遗传算法和内点法结合的优化算法进行求解。最后,通过改进的IEEE33节点配电系统进行算例验证,结果表明该方法能有效降低网络损耗和失负荷量,提升配电网整体弹性。 |
| 英文摘要: |
| In recent years, the frequent occurrence of extreme disaster weather has greatly influenced the safe operation of distribution network. Therefore, it is an effective way to improve the resilience of distribution network to formulate reasonable planning strategy before the disasters. With the rapid growth of distributed power generation and electric vehicle users, a multi-flexible resource planning strategy is proposed to improve the resilience of distribution network in typhoon weather. Firstly, the typical typhoon disaster scenarios are screened by constructing the correlation model of typhoon wind speed and failure rate, combining the conditional generation adversarial network and information entropy. Secondly, the upper planning model aiming at the minimum annual comprehensive cost and the lower multi-objective optimization model taking into account the operating cost and performance loss area are established. The electric vehicle charging pile planning is innovatively incorporated into the model, and the distributed and mobile characteristics of electric vehicles are utilized to enhance the flexibility and elasticity of the power grid. Then, the optimization algorithm combining non-dominated sorting genetic algorithm and interior point method is used to solve the model. Finally, through the improved IEEE33-node distribution system, the results show that the proposed method can effectively reduce the network loss and load loss, and improve the overall resilience of the distribution network. |
|
查看全文
查看/发表评论 下载PDF阅读器 |
| 关闭 |
|
|
|