| 引用本文: | 李东东,申润祺,杨 帆,等.基于信息间隙决策理论的多区域电网源-储-荷灵活优化运行策略[J].电力系统保护与控制,2025,53(19):39-51.[点击复制] |
| LI Dongdong,SHEN Runqi,YANG Fan,et al.Flexible optimal operation strategy for source-storage-load in multi-regional power grids based on information gap decision theory[J].Power System Protection and Control,2025,53(19):39-51[点击复制] |
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| 摘要: |
| 随着新能源渗透率的提高，电力系统波动性与不确定性增加。为实现预期成本下计及不确定性的灵活性优化调度，提出基于信息间隙决策理论(information gap decision theory, IGDT)的多区域电网源-储-荷灵活优化运行策略。首先，针对华东电网多抽水蓄能(pumped hydro storage, PHS)电站面向多区域供给灵活性的应用场景，建立多PHS电站联合调度精细化模型。其次，建立考虑资源特性的源-储-荷灵活性优化调度模型，作为确定性模型输出IGDT运行策略的基础成本。然后，在基础成本上考虑负荷与新能源的不确定性，建立鲁棒模型和风险模型，从而获得基于IGDT的灵活性优化调度模型。最后，通过算例验证所提策略能够实现预期成本下计及不确定性的多区域电网灵活性优化调度，并可量化预期成本下电网不确定性与灵活性的承受范围以及不确定性因素对灵活性调度的影响。 |
| 关键词: 灵活性优化调度 信息间隙决策理论 电力系统不确定性 抽水蓄能电站 灵活性需求 |
| DOI：10.19783/j.cnki.pspc.241673 |
| 投稿时间：2024-12-13修订日期：2025-04-23 |
| 基金项目:国家自然科学基金项目资助(52377111)；国家电网有限公司华东分部项目资助(SGHD0000DKJS2310440) |
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| Flexible optimal operation strategy for source-storage-load in multi-regional power grids based on information gap decision theory |
| LI Dongdong1,SHEN Runqi2,YANG Fan1,TENG Xiaobi3,CHEN Xinyi3 |
| (1. College of Electric Power Engineering, Shanghai University of Electric Power, Shanghai 200090, China; 2. Henan
Electric Power Transmission & Transformation Construction Co., Ltd., Zhengzhou 450000, China; 3. East China
Branch, State Grid Corporation of China, Shanghai 200120, China) |
| Abstract: |
| With the increasing penetration of renewable energy, the volatility and uncertainty of power systems are growing. To achieve flexibility optimization scheduling under expected cost framework while accounting for uncertainties, this paper proposes a multi-regional source-storage-load flexible optimal operation strategy based on information gap decision theory (IGDT). First, for the application scenario of multiple pumped hydro storage (PHS) stations in the East China Grid providing multi-regional supply flexibility, a refined joint scheduling model of multiple PHS stations is established. Next, a source-storage-load flexibility optimization scheduling model that considers resource characteristics is developed, and the output of this deterministic model serves as the baseline cost for the IGDT strategy. Then, by incorporating load and renewable energy uncertainties, a robust model and a risk model are proposed, thereby forming an IGDT-based flexibility optimization scheduling model. Finally, case studies demonstrate that the proposed strategy achieves flexibility optimization scheduling of multi-regional power grids under expected costs while accounting for uncertainties. Moreover, it quantifies the tolerance range of grid uncertainty and flexibility under expected costs, as well as the impacts of uncertain factors on flexible scheduling. |
| Key words: flexibility optimization scheduling information gap decision theory (IGDT) power system uncertainty pumped hydro storage (PHS) stations flexibility demand |
