| 引用本文: | 周焱桥,李觉友,陈 果,赵克全,林文婷.计及高比例风电电力系统运行可靠性的分布鲁棒优化建模与评估[J].电力系统保护与控制,2025,53(11):116-124.[点击复制] |
| ZHOU Yanqiao,LI Jueyou,CHEN Guo,ZHAO Kequan,LIN Wenting.Distributionally robust optimization modeling and evaluation of power system operational reliability with high wind power penetration[J].Power System Protection and Control,2025,53(11):116-124[点击复制] |
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| 摘要: |
| 风电的强随机性和波动性给电力系统运行可靠性带来新的挑战。传统可靠性评估方法在计及风电等可再生能源出力时，难以兼顾经济性和鲁棒性，这导致在高比例风电渗透率下系统运行可靠性的评估结果过于乐观或保守。为此，对高比例风电电力系统运行可靠性进行了建模，并对该系统运行的可靠性进行分析与评估。首先，构建一类基于数据驱动的两阶段分布式鲁棒最小费用模型。在第一、二阶段分别确定最优调度方案、最小切负荷量和弃风量，并引入条件风险价值对系统支路运行风险进行刻画与约束。其次，基于系统可用风电出力历史数据构建1-范数和∞-范数的不确定集，并采用列与约束生成算法求解模型。最后，通过IEEE-RTS79节点系统仿真分析所提模型在不同风电渗透率场景下的有效性和鲁棒性。 |
| 关键词: 可靠性评估 高比例风电系统 不确定性 分布鲁棒优化 条件风险价值 |
| DOI：10.19783/j.cnki.pspc.241027 |
| 投稿时间：2024-08-02修订日期：2024-11-01 |
| 基金项目:国家重点研发计划项目资助(2023YFA1011303)；重庆市自然科学基金项目资助(CSTB2023NSCQ-MSX0316) |
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| Distributionally robust optimization modeling and evaluation of power system operational reliability with high wind power penetration |
| ZHOU Yanqiao1,LI Jueyou1,CHEN Guo1,ZHAO Kequan1,LIN Wenting2 |
| (1. National Center for Applied Mathematics in Chongqing, Chongqing Normal University, Chongqing 401331, China;
2. School of Computer and Information Sciences, Chongqing Normal University, Chongqing 401331, China) |
| Abstract: |
| The high randomness and volatility of wind power pose new challenges to the operational reliability of power systems. Traditional reliability assessment methods struggle to balance economic efficiency and robustness when considering renewable energy outputs, leading to overly optimistic or overly conservative evaluations under high wind power penetration. To address this issue, a modeling and assessment approach for the operational reliability of power systems with high wind power penetration is proposed. First, a two-stage data-driven distributionally robust minimum-cost model is developed, where the first stage determines the optimal dispatch scheme, and the second stage determines the minimum load shedding and wind curtailment. Conditional value-at-risk is introduced to characterize and constrain the operational risk of system branches. Second, uncertainty sets based on the 1-norm and ∞-norm are constructed using historical data of available wind power output, and the column-and-constraint generation algorithm is utilized to solve the model. Finally, simulations on the IEEE-RTS79 bus system are conducted to analyze the effectiveness and robustness of the proposed method in different wind power penetration scenarios. |
| Key words: reliability assessment power system with high wind power penetration uncertainty distributionally robust optimization conditional value-at-risk |
