| 引用本文: | 杨 楠,产雪振,张 志,等.台风灾害下考虑源-网-荷协同优化的SCUC复合决策方法[J].电力系统保护与控制,2025,53(10):33-44.[点击复制] |
| YANG Nan,CHAN Xuezhen,ZHANG Zhi,et al.A composite SCUC decision-making method considering source-network-load collaborative optimization in typhoon disasters[J].Power System Protection and Control,2025,53(10):33-44[点击复制] |
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| 摘要: |
| 随着全球气候变化导致台风灾害事件频发，电力设备的故障率大幅上升，严重威胁到电网的安全可靠运行。为提高电力系统韧性，提出一种台风灾害下考虑源网荷协同优化的安全约束机组组合(security-constrained unit commitment, SCUC)复合决策方法。首先，结合台风历史数据以及Rankine风场模型，构建风机出力以及线路故障模型。在此基础上基于状态抽样法构建待决策故障场景不确定集。然后分别构建SCUC、减载和线路恢复不同应对策略的决策模型。同时采用鲁棒优化处理线路故障的不确定性，并将其作为虚拟主体“台风灾害”引入由上述各决策模型作为博弈主体所构建的多主体博弈模型。最后结合迭代搜索法进行求解。仿真结果验证了所提方法能够在保证系统运行经济性的同时最大限度地减少负荷损失，提升电力系统在台风灾害下的韧性水平。 |
| 关键词: SCUC 韧性提升 鲁棒优化 多主体博弈 |
| DOI：10.19783/j.cnki.pspc.241093 |
| 投稿时间：2024-08-17修订日期：2024-11-18 |
| 基金项目:国家电网有限公司科技项目资助(5108-202355040A-1-1-ZN) |
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| A composite SCUC decision-making method considering source-network-load collaborative optimization in typhoon disasters |
| YANG Nan1,CHAN Xuezhen1,ZHANG Zhi2,XU Dan3,HAO Juncong1,WANG Jinxin1,HUANG Yuehua1,ZHANG Lei1 |
| (1. Hubei Provincial Key Laboratory for Operation and Control of Cascaded Hydropower Station (China Three Gorges
University), Yichang 443002, China; 2. State Grid Corporation of China, Beijing 100031, China;
3. China Electric Power Research Institute, Beijing 100192, China) |
| Abstract: |
| With the increasing frequency of typhoon disasters due to global climate change, the failure rates of power equipment have risen significantly, posing a serious threat to the safe and reliable operation of power grids. To enhance the resilience of power systems, a composite security-constrained unit commitment (SCUC) decision-making method when there are typhoon disasters is proposed, incorporating source-network-load collaborative optimization. First, based on historical typhoon data and the Rankine wind farm model, wind turbine output and line fault models are constructed. Then a set of uncertainty scenarios for fault decisions is created using the state sampling method. Next, separate decision models for SCUC, load shedding, and line restoration are developed for different response strategies. A robust optimization approach is employed to address the uncertainty of line faults, and is introduced as a virtual “typhoon disaster” agent in a multi-agent game framework, where each of the above decision models serves as an agent. Finally, an iterative search method is applied to solve the model. Simulation results demonstrate that the proposed approach can minimize load shedding while ensuring economic operation of the system, thereby improving the resilience of the power system during typhoon disasters. |
| Key words: SCUC resilience enhancement robust optimization multi-agent game |
