| 引用本文: | 李启源,林伟,雷星雨,等.面向经济调度偏差抑制的大规模储能聚合方法[J].电力系统保护与控制,2025,53(22):175-187.[点击复制] |
| LI Qiyuan,LIN Wei,LEI Xingyu,et al.Large-scale energy storage aggregation method for economic dispatch deviation suppression[J].Power System Protection and Control,2025,53(22):175-187[点击复制] |
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| 摘要: |
| 储能聚合是有效管控大规模储能参与调度的必要手段，但现有储能聚合方法多关注于储能物理参数的数值聚合，计算复杂度高，并且储能聚合后并网调度与实际调度存在偏差，难以直接应用于实际电力工业调度决策。为此，提出了面向经济调度偏差抑制的大规模储能聚合方法。其核心思想是：以大规模储能聚合前后参与电力系统经济调度所得调度方案总体运行成本差别最小为目标，通过优化决策确定储能聚合参数，从而实现虚拟储能不影响其他资源调度方案的预期储能聚合目标。为此，建立双层优化模型，将大规模储能聚合成虚拟储能。在此基础上，通过KKT条件推导将模型转化为单层优化模型，进而求解虚拟储能参数。为保证虚拟储能参数在电力系统调度的适应性，提出适应多演变场景的大规模储能聚合方法。最后，选取PJM5、IEEE118和某省661节点系统开展算例分析，验证了所提方法的有效性与适应性。 |
| 关键词: 新型电力系统 储能聚合 多场景 双层优化 经济调度 |
| DOI：10.19783/j.cnki.pspc.250050 |
| 投稿时间：2025-01-15修订日期：2025-09-12 |
| 基金项目:国家电网公司总部科技项目资助(5100- 202236503A-3-0-SF) |
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| Large-scale energy storage aggregation method for economic dispatch deviation suppression |
| LI Qiyuan1,LIN Wei1,LEI Xingyu1,YANG Zhifang1,ZHOU Zhuan2,BIAN Jiayu2,YU Zhiyong2 |
| (1. State Key Laboratory of Power Transmission Equipment Technology (Chongqing University), Chongqing 400044, China;
2. State Grid Xinjiang Electric Power Co., Ltd., Urumqi 830002, China) |
| Abstract: |
| Energy storage aggregation is an essential mean for effectively managing the participation of large-scale storage in power system dispatch. However, existing energy storage aggregation methods primarily focus on numerical aggregation of energy storage physical parameters, resulting in high computational complexity. Moreover, after aggregation, discrepancies often arise between the aggregated and actual dispatch outcomes, making these methods difficult to apply directly in practical power system dispatching decision. To address these issues, this paper proposes a large-scale energy storage aggregation method for suppressing economic dispatch deviation. The core idea is to minimize the overall operating cost difference between dispatch schemes before and after storage aggregation. By optimizing the aggregation parameters, a virtual storage model is constructed such that its participation does not interfere with the optimal dispatch of other resources. A bi-level optimization model is established to aggregate large-scale storage units into a virtual storage system. Based on the KKT conditions, the model is then transformed into a single-level model to determine the virtual storage parameters. To ensure adaptability of the virtual storage parameters in system dispatch, a multi-scenario aggregation approach is further developed to accommodate evolving system conditions. Finally, case studies on the PJM5, IEEE118, and a provincial 661-node system demonstrate the effectiveness and adaptability of the proposed method. |
| Key words: new power system energy storage aggregation multi-scenario bi-level optimization economic dispatch |
