| 引用本文: | 朱晓荣,山雨琦.考虑灵活性的储能容量多阶段分布鲁棒规划[J].电力自动化设备,2023,43(6): |
| ZHU Xiaorong,SHAN Yuqi.Multi-stage distributionally robust planning of energy storage capacity considering flexibility[J].Electric Power Automation Equipment,2023,43(6): |
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| 摘要: |
| 储能作为一种灵活性资源，具有促进新能源消纳和电力系统安全稳定运行的作用。然而受储能投资成本的制约，难以仅依靠大规模的储能满足系统的灵活性要求。为此，提出了一种考虑灵活性的电力系统储能容量规划模型，计及现有可调节的传统发电机组对灵活性的影响，并采用分布鲁棒机会约束描述新能源出力的不确定性；根据系统不同时间尺度的运行特性，综合考虑储能的投资成本、新能源出力的不确定性和系统运行的灵活性，建立了多时间尺度下的储能配置模型；采用多阶段迭代线性优化的方法提高求解效率。基于IEEE-RTS 24节点系统进行算例分析，结果验证了所提方法在求解储能配置容量方面具有较好的经济性和鲁棒性。 |
| 关键词: 电力系统 储能 容量配置 不确定性 分布鲁棒优化 灵活性 多时间尺度协调规划 |
| DOI：10.16081/j.epae.202206007 |
| 分类号:TM715 |
| 基金项目: |
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| Multi-stage distributionally robust planning of energy storage capacity considering flexibility |
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ZHU Xiaorong, SHAN Yuqi
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State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Baoding 071003, China
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| Abstract: |
| As a flexible resource, energy storage plays a role in promoting the consumption of new energy and the safe and stable operation of power system. However, limited by the investment cost of energy sto-rage, it is difficult to meet the system flexibility requirements only relying on large-scale energy storage. Therefore, a capacity planning model of energy storage in the power system considering flexibility is proposed, which takes into account the influence of the existing adjustable traditional generating units on the flexibility, and uses the distributionally robust opportunity constraints to describe the uncertainty of new energy output. According to the operation characteristics of the system at different time scales, comprehensively considering the investment cost of energy storage, the uncertainty of new energy output and the system operation flexibility, a multi-time scale energy storage configuration model is established. The multi-stage iterative linear optimization method is used to improve the solution efficiency. Taking the IEEE-RTS 24-bus system as an example, the analysis results show that the proposed method has good economy and robustness in solving the configuration capacity of energy storage. |
| Key words: electric power systems energy storage capacity configuration uncertainty distributionally robust optimization flexibility multi-time scale coordinated planning |
