| 引用本文: | 李卫国,焦盘龙,刘新宇,等.基于变分模态分解的储能辅助传统机组调频的容量优化配置[J].电力系统保护与控制,2020,48(6):43-52.[点击复制] |
| LI Weiguo,JIAO Panlong,LIU Xinyu,et al.Capacity optimization configuration of energy storage auxiliary traditional unit frequency modulation based on variational mode decomposition[J].Power System Protection and Control,2020,48(6):43-52[点击复制] |
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| 摘要: |
| 储能辅助常规机组参与电网调频，可以改善常规机组调频的弊端，提高调频质量，有利于提高系统的稳定性。通过变分模态分解(Variational Mode Decomposition, VMD)将调频指令信号进行初级分配，在考虑机组的爬坡限制以及储能的功率和荷电状态(State Of Charge, SOC)等限制后，确定各调频源在每分钟内的功率约束。提出了指令信号越限时再分配的方法，以实现在每分钟时间段内以最优比例在两种资源间分配调频指令。以所构建的成本-效益模型为目标，通过粒子群算法进行寻优，从而得到经济性最优的储能容量配置。最后基于实测的区域控制误差(Area Control Error, ACE)信号，分析了不同分配方案对储能容量配置、效益以及技术性的影响，验证了所提方法的可行性与有效性。 |
| 关键词: 储能调频 VMD 爬坡率 SOC 成本-效益模型 容量配置 |
| DOI：10.19783/j.cnki.pspc.190466 |
| 投稿时间：2019-04-25修订日期：2019-06-17 |
| 基金项目:国家自然科学基金项目资助(U1766204);2017年吉林省发改委产业创新专项项目资助(2017C017-2) |
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| Capacity optimization configuration of energy storage auxiliary traditional unit frequency modulation based on variational mode decomposition |
| LI Weiguo,JIAO Panlong,LIU Xinyu,XU Bei |
| (Northeast Electric Power University, Jilin 132012, China;Zhaoqing Power Supply Bureau of Guangdong Power Grid, Zhaoqing 526000, China) |
| Abstract: |
| Energy storage assisted conventional units participating in power grid frequency modulation can improve the drawbacks of conventional unit frequency modulation, enhance the quality of frequency modulation, and help to improve the stability of the system. In this paper, the frequency modulation command signal is initially assigned by Variational Mode Decomposition (VMD). After considering the limitation of the generator ramp rate, and the power and State Of Charge (SOC) of the energy storage, the power constraints of each frequency regulation source in each minute are determined. Then, the redistribution method when the command signal exceeds the limit is proposed. This achieves the allocation of frequency regulation commands between the two resources in an optimal ratio over a period of minutes. Taking the cost-benefit model constructed as the goal, the PSO algorithm is used to optimize the energy storage capacity configuration. Finally, based on the measured Area Control Error (ACE) signal, the effects of different allocation schemes on energy storage capacity allocation, efficiency and technicality are analyzed, which verify the feasibility and effectiveness of the proposed method. This work is supported by National Natural Science Foundation of China (No. U1766204) and the Special Fund for Industrial Innovation of Jilin Province Development and Reform Commission (No. 2017C017-2). |
| Key words: energy storage frequency modulation VMD ramp rate SOC cost-benefit model capacity configuration |
