| 引用本文: | 李兆乾1 ,刘世林1,2 ,黄世婧1 ,丁 峰1.分布式储能参与电网调频的站间-站内分层优化方法研究(J/M/D/N,J:杂志，M：书，D：论文，N：报纸).期刊名称,2026，43（1）：86-96 |
| CHEN X. Adap tive slidingmode contr ol for discrete2ti me multi2inputmulti2 out put systems[ J ]. Aut omatica, 2006, 42(6): 4272-435 |
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| 摘要: |
| :目的 针对分布式储能参与电网调频的经济优化运行问题,研究一种站间-站内分层优化运行方法,从而实
现调频功率在各储能电站以及储能电站内各储能单元之间的优化分配。 方法 首先,在综合考虑各储能电站剩余调
频能力的基础上,构建优化运行模型,以能量损耗成本与寿命衰减成本最小为目标,从而实现调频功率在各储能电
站间的合理分配;其次,以能量损耗成本、寿命衰减成本及调节性能比率为指标,采用主客观综合权重 TOPSIS 评价
法对各储能单元调频能力进行评估,进而实现调频需求在各储能单元间的优化分配。 结果 利用仿真实验对该方法
进行对比验证,仿真实验结果表明:该方法不仅具有较好的经济性,还能充分调动各储能单元的调频积极性。 结论
分布式储能参与电网调频,通过站间-站内分层优化解决了经济性问题,降低了区域电网内储能参与电网调频的成
本,同时充分发挥了各储能电站及其内部各储能单元的调频能力。 |
| 关键词: 分布式储能 分层优化 功率分配 主客观综合权重 |
| DOI： |
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| Research on Inter-station and In-station Hierarchical Optimization Method for Distributed Energy StorageParticipating in Grid Frequency Regulation |
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LI Zhaoqian1，LIU Shilin1 2， HUANG Shijing1， DING Feng1
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1. School of Electrical Engineering Anhui Polytechnic University Wuhu 241000 Anhui China
2. Industrial Innovation Technology Research Co. LTD. Anhui Polytechnic University Wuhu 241000 Anhui China
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| Abstract: |
| Objective This study aims to address the economic optimal operation problem of distributed energy storage
participating in power grid frequency regulation. A hierarchical optimal operation method between stations and within
stations is explored to achieve the optimal allocation of frequency regulation power among energy storage stations and
among energy storage units within each energy storage station. Methods First an optimal operation model was
constructed based on a comprehensive consideration of the remaining frequency regulation capacity of each energy storage
station with the goal of minimizing the energy loss cost and the life-decay cost. This achieved a reasonable allocation of
frequency regulation power among energy storage stations. Second using the energy loss cost life-decay cost and
regulation performance ratio as indicators the TOPSIS evaluation method with integrated subjective-objective weights was
employed to evaluate the frequency regulation capacity of each energy storage unit. Subsequently the optimal allocation of
frequency regulation demand among energy storage units was realized. Results The method was verified through comparative simulation experiments. The simulation results indicated that this method not only had good economic
efficiency but also could fully mobilize the enthusiasm of each energy storage unit for frequency regulation.
Conclusion Distributed energy storage participating in grid frequency regulation resolves economic problems through a
two-layer optimization framework inter-station and intra-station levels . The proposed method reduces the cost of energy
storage participating in power grid frequency regulation in the regional power grid and fully utilizes the frequency
regulation capabilities of each energy storage station and its internal energy storage units. |
| Key words: distributed energy storage hierarchical optimization power allocation integrated subjective-objective weight |
