| 引用本文: | 张大海,郑鑫鑫,吴 雪,等.极端事件下考虑储能支撑频率响应全过程调节的随机优化方法[J].电力系统保护与控制,2026,54(05):13-23. |
| ZHANG Dahai,ZHENG Xinxin,WU Xue,et al.A stochastic optimization method considering the whole process of energy storage supporting frequency response under extreme events[J].Power System Protection and Control,2026,54(05):13-23 |
|
| 摘要: |
| 以台风为代表的极端事件频发严重威胁受端电网频率安全,而储能的快速调节特性对频率安全意义重大。为此,提出极端事件下考虑储能支撑频率响应全过程调节的随机优化方法。首先,构建台风场景下直流联络线故障概率模型。其次,分析故障后基于储能调节的全过程频率响应特性,并推导功率能量备用容量解析表达式,提出一种量化频率偏差效应并反映同步机组和储能调频效果及系统弹性的准则。然后,构建基于安全准则的随机优化模型,第一阶段最小化系统成本,第二阶段嵌入台风场景下直流联络线概率模型,保证电网频率安全。最后,在改进异步互联电网和某地区受端电网验证所提模型的有效性,结果表明所提模型能够有效增强极端事件下系统弹性,改善故障扰动后的频率动态特性。 |
| 关键词: 极端事件 直流联络线 频率安全 储能 受端电网 台风场景 |
| DOI:10.19783/j.cnki.pspc.250771 |
| 分类号: |
| 基金项目:国家自然科学基金项目资助(U22B20103) |
|
| A stochastic optimization method considering the whole process of energy storage supporting frequency response under extreme events |
|
ZHANG Dahai1, 2, ZHENG Xinxin1, WU Xue1, HE Jinghan1, 2, HU Xiaochen1
|
|
1. School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China;2. Beijing Engineering Research Center of Electric Rail Transportation, Beijing 100044, China
|
| Abstract: |
| Extreme events represented by typhoons occur frequently and pose a severe threat to the frequency security of receiving-end power grids, while the fast regulation capability of energy storage is of great significance for maintaining frequency security. To this end, a stochastic optimization method is proposed that considers the entire process of regulating the frequency response of energy storage support under extreme events. First, a probabilistic failure model of DC interconnection lines under typhoon scenarios is established. Second, the frequency response characteristics of the entire process based on energy storage regulation after faults are analyzed, and analytical expressions for power-energy reserve capacity are derived. A criterion is then proposed to quantify the effects of frequency deviation while reflecting the frequency regulation contributions of synchronous generators and energy storage, as well as system resilience. Subsequently, a security-constrained stochastic optimization model is constructed. In the first stage, the system cost is minimized, and in the second stage, a probabilistic model of the DC interconnection lines under typhoon scenarios is embedded to ensure grid frequency security. Finally, the effectiveness of the proposed model is verified on an improved asynchronously interconnected power grid and a regional receiving-end power grid. The results show that the proposed model can effectively enhance system resilience under extreme events and improve post-fault frequency dynamic performance. |
| Key words: extreme events DC interconnection line frequency security energy storage receiving-end grid typhoon scenario |