| 引用本文: | 谭 洪,陈嘉迅,王秋杰,等.计及风电频率支撑能力和运行风险的鲁棒机组组合模型[J].电力系统保护与控制,2025,53(4):96-107.[点击复制] |
| TAN Hong,CHEN Jiaxun,WANG Qiujie,et al.A robust unit commitment model considering wind power frequency support capability and operational risk[J].Power System Protection and Control,2025,53(4):96-107[点击复制] |
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| 计及风电频率支撑能力和运行风险的鲁棒机组组合模型 |
| 谭洪1,2,陈嘉迅2,王秋杰1,2,陈涛3,李振兴1,2,翁汉琍1,2 |
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| (1.新能源微电网湖北省协同创新中心(三峡大学)，湖北 宜昌 443002;2.三峡大学电气与新能源学院，
湖北 宜昌 443002;3.东南大学电气工程学院，江苏 南京 210018) |
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| 摘要: |
| 大规模风电并网导致电力系统惯量和一次调频响应资源减少，大扰动下系统频率安全问题突出。为应对风电不确定性和系统惯量降低的挑战，提出计及风电频率支撑能力和运行风险的鲁棒机组组合(unit commitment, UC)模型。首先，通过系统发生有功扰动后频率偏差动力学摆动方程建立频率安全的运行约束模型，并嵌入到UC问题中。其次，考虑到风电出力不确定性，提出风电出力鲁棒可行域定义以表征系统接纳风电的安全运行范围，并基于此提出系统运行风险模型。最后，基于两阶段鲁棒优化理论提出计及风电频率支撑能力和运行风险的UC鲁棒优化模型，并采用列和约束生成(column and constraint generation, C&CG)算法求解该模型。在IEEE 9和IEEE 118节点测试系统进行仿真分析，结果验证了所提模型的有效性。 |
| 关键词: 风电频率支撑能力 运行风险 机组组合 风电不确定性 鲁棒可行域 |
| DOI：10.19783/j.cnki.pspc.240515 |
| 投稿时间：2024-04-28修订日期：2024-10-31 |
| 基金项目:国家自然科学基金项目资助(52307109) |
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| A robust unit commitment model considering wind power frequency support capability and operational risk |
| TAN Hong1,2,CHEN Jiaxun2,WANG Qiujie1,2,CHEN Tao3,LI Zhenxing1,2,WENG Hanli1,2 |
| (1. Hubei Provincial Collaborative Innovation Center for New Energy Microgrid (China Three Gorges University),
Yichang 443002, China; 2. College of Electrical Engineering and New Energy, China Three Gorges University,
Yichang 443002, China; 3. School of Electrical Engineering, Southeast University, Nanjing 210018, China) |
| Abstract: |
| The large-scale integration of wind power into the grid has led to a reduction in power system inertia and frequency response resources, highlighting frequency security issues under large disturbances. To address the challenges of wind power uncertainty and the reduced system inertia, a robust unit commitment (UC) model considering wind power frequency support capability and operational risk is proposed. First, a frequency security operational constraint model is established through the dynamic swing equation of frequency deviation after active power, and is embedded into the UC problem. Secondly, considering the uncertainty of wind power output, a robust feasible range definition for wind power output is proposed to characterize the safe operating range of the system’s wind power acceptance, and based on this, a system operational risk model is proposed. Finally, based on two-stage robust optimization theory, a robust optimization model for UC considering wind power frequency support capability and operational risk is proposed, and the column and constraint generation (C&CG) algorithm is used to solve the model. The effectiveness of the proposed model is verified through simulations conducted on the IEEE 9-bus and 118-bus testing systems. |
| Key words: wind power frequency support capability operational risk unit commitment uncertainty of wind power robust feasible region |
