| 引用本文: | 周步祥,林晏峰,周 毅,等.兼顾调峰需求与弃电失负荷风险规避的梯级水风光蓄互补系统日前调度策略[J].电力系统保护与控制,2025,53(22):20-31.[点击复制] |
| ZHOU Buxiang,LIN Yanfeng,ZHOU Yi,et al.Day-ahead scheduling strategy for cascade hydro-wind-solar-pumped storage complementary systems considering peak-shaving demand and risk avoidance of curtailment and load loss[J].Power System Protection and Control,2025,53(22):20-31[点击复制] |
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| 摘要: |
| 在高比例新能源接入背景下，针对梯级水风光蓄多能互补系统调峰运行时因风光波动加剧导致更高的弃电失负荷风险，提出了一种兼顾调峰需求与弃电失负荷风险规避的日前调度策略。首先，对混合式抽水蓄能电站在抽水-发电运行工况下的差异分别建模。并构建其与常规水电、风光及电网的电力耦合关系以及与梯级水库间的水力耦合关系。然后，基于风光预测误差生成多组表征其不确定性的场景。最后，以剩余负荷峰谷差和弃电失负荷风险为目标，在多场景下实现两者的协同优化。以贵州某流域的真实系统作为算例，验证了所提调度策略在调峰运行时能有效缓解弃电失负荷风险。 |
| 关键词: 混合式抽水蓄能电站 多能互补系统 调峰 弃电失负荷风险 多目标优化 |
| DOI：10.19783/j.cnki.pspc.241639 |
| 投稿时间：2024-12-08修订日期：2024-12-08 |
| 基金项目:国家自然科学基金项目资助(52307126)；四川省科技计划项目资助(2024NSFSC0870) |
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| Day-ahead scheduling strategy for cascade hydro-wind-solar-pumped storage complementary systems considering peak-shaving demand and risk avoidance of curtailment and load loss |
| ZHOU Buxiang1,LIN Yanfeng1,ZHOU Yi1,ZANG Tianlei1,ZHANG Yan2,LU Yong3 |
| (1. College of Electrical Engineering, Sichuan University, Chengdu 610065, China; 2. Power Dispatching & Control
Center of Guizhou Power Grid Co., Ltd., Guiyang 550002, China; 3. Liupanshui Beipanjiang
Hydropower Development Co., Ltd., Liupanshui 553037, China) |
| Abstract: |
| Under high renewable energy penetration, cascade hydro-wind-solar-pumped storage complementary systems face increased risks of curtailment and load loss due to intensified wind-solar fluctuations during peak-shaving operations. To address this issue, a peak-shaving demand and risk mitigation oriented day-ahead scheduling strategy is proposed. First, distinct models are established for the hybrid pumped-storage station under pumping and generating modes. The power coupling relationships between the hybrid pumped-storage station and conventional hydropower, wind, solar, and the power grid are established, as well as the hydraulic coupling relationships among cascade reservoirs. Then, multiple uncertainty scenarios are generated based on wind and solar forecast errors. Finally, a multi-scenario coordinated optimization is performed with the dual objectives of minimizing the residual load peak-valley difference and mitigating the risk of curtailment and load loss. Case studies based on a real cascade hydropower system in the Guizhou Basin demonstrate that the proposed scheduling strategy effectively alleviates curtailment and load loss risks during peak-shaving regulation operations. |
| Key words: hybrid pumped storage power plant multi-energy complementary system peak shaving curtailment and load-loss risk multi-objective optimization |
