| 引用本文: | 田坤鹏,孙伟卿,韩 冬,等.基于两阶段鲁棒优化的可再生能源DNE极限评估[J].电力系统保护与控制,2020,48(19):73-80.[点击复制] |
| Tian Kunpeng,Sun Weiqing,Han Dong,et al.DNE limit assessment of renewable energy based on two-stage robust optimization[J].Power System Protection and Control,2020,48(19):73-80[点击复制] |
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| 摘要: |
| 为应对高比例可再生能源给电力系统运行与调度带来的挑战，提出考虑弃风和切负荷的灵活性量化评估方法。基于日前和实时调度框架建立具有多时段耦合约束特征的两阶段鲁棒优化模型。在日前调度阶段，根据风电和负荷预测数据求解计及安全约束的机组组合问题以确定机组调度方案。在实时调度阶段，考虑电力系统不确定性计算风电的最大消纳范围以评估系统灵活性，即“不超过”极限。对于极限内任意风电曲线，均可通过调整日前调度计划使实时调度阶段的弃风和切负荷风险是可接受的。基于Benders算法的求解框架，应用强对偶理论和大M法将难以直接求解的min-max-min模型转化为混合整数线性规划问题。最后，采用改进的IEEE-6和IEEE-118节点系统，验证所提方法的有效性。 |
| 关键词: 两阶段鲁棒优化 日前调度 实时调度 不超过 Benders算法 |
| DOI：DOI:10.19783/j.cnki.pspc.191479 |
| 投稿时间：2019-11-27修订日期：2020-02-20 |
| 基金项目:国家自然科学基金项目资助(51777126) |
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| DNE limit assessment of renewable energy based on two-stage robust optimization |
| Tian Kunpeng,Sun Weiqing,Han Dong,Yang Ce |
| (1. School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093,
China; 2. School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China) |
| Abstract: |
| In order to deal with the challenges brought by the high penetration of renewable energy to the operation and scheduling of a power system, a quantitative evaluation method of flexibility considering wind spillage and load curtailment is proposed. Based on day-ahead and real-time dispatching frameworks, a two-stage robust optimization model with multi-period coupling constraints is established. In the day-ahead dispatching, a security-constrained unit commitment model is established based on wind and load forecasting data. In real-time dispatching, the maximum accommodation range of wind power is calculated considering the uncertainty of the power system and can be described as the do-not-exceed limit problem. For any wind power realization within the limit, the risk of wind spillage and load curtailment in the real-time dispatching stage can be made acceptable by adjusting the day-ahead scheduling. Based on the solution framework of Benders algorithm, and applying strong duality theory and the big-M method, the intractable min-max-min model is reformulated to a mixed integer linear program. Finally, the effectiveness of the proposed method is verified by an example of the modified IEEE-6 and IEEE-118 bus test system.
This work is supported by National Natural Science Foundation of China (No. 51777126). |
| Key words: two-stage robust optimization day-ahead dispatch real-time dispatch do-not-exceed Benders algorithm |
