| 引用本文: | 倪泽龙,林钰钧,王治涛,许振宇,陈 霞.基于模型预测的虚拟同步机控制储能调频研究[J].电力系统保护与控制,2022,50(14):85-93.[点击复制] |
| NI Zelong,LIN Yujun,WANG Zhitao,XU Zhenyu,CHEN X.Research on frequency regulation of VSG controlled energy storages based on model predictive control[J].Power System Protection and Control,2022,50(14):85-93[点击复制] |
|
| 摘要: |
| 储能虚拟同步机(Virtual Synchronous Generator, VSG)控制接入电网能够有效提升未来高比例可再生能源与高比例电力电子设备的“双高”电力系统的惯性，抑制系统受到外界扰动时的频率波动。以调频为控制目标，应用模型预测控制(Model Predictive Control, MPC)对储能变流器VSG的输入功率进行自适应控制，能够进一步改善扰动时的系统频率响应。通过建立储能变流器VSG的预测模型，设计了关于频率增量与输入功率加权平方和的代价函数。通过二次规划计算出最优控制序列，对VSG有功功率输入值进行实时的修正。结果表明，该方法可以提升系统惯性，有效抑制功率波动时的最大频率偏移与最大频率变化率。相比于传统控制方法，系统频率变化率得到了有效的改善。 |
| 关键词: 虚拟同步发电机 模型预测控制 调频 |
| DOI：DOI: 10.19783/j.cnki.pspc.211270 |
| 投稿时间：2021-09-14修订日期：2021-11-15 |
| 基金项目:国家自然科学基金项目资助(51821005)；国家电网有限公司总部科技项目资助(5419-202199551A-0-5-ZN) |
|
| Research on frequency regulation of VSG controlled energy storages based on model predictive control |
| NI Zelong,LIN Yujun,WANG Zhitao,XU Zhenyu,CHEN X |
| (1. State Key Laboratory of Advanced Electromagnetic Engineering and Technology (Huazhong University of Science and
Technology), Wuhan 430074, China; 2. China Resources (Holdings) Co., Ltd. (Yichang), Yichang 443000, China) |
| Abstract: |
| Virtual synchronous generator (VSG)-controlled energy storage can enhance the inertia of power systems which have a high proportion of renewable energy and power electronic devices, and suppress frequency fluctuation during disturbance. Model predictive control (MPC) can be used to adaptively control the input power of VSG-controlled energy storage to improve the frequency response further. By establishing the prediction model of VSG-controlled energy storage, the cost function of the weighted sum of frequency and input power is designed. The optimal control sequence is computed by quadratic programming to modify the VSG input power. The results show that this method can effectively increase system inertia, suppress the maximum frequency deviation and rate of change of frequency during a load disturbance. The rate of change of frequency is effectively improved compared with existing control methods.
This work is supported by the National Natural Science Foundation of China (No. 51821005). |
| Key words: virtual synchronous generator model predictive control frequency regulation |
