| 引用本文: | 董润楠,刘石,梁庚,安馨.基于模型预测控制的微电网逆变器控制方法研究[J].电力系统保护与控制,2019,47(21):11-20.[点击复制] |
| DONG Runnan,LIU Shi,LIANG Geng,AN Xin.Research on control method of special inverter in micro-grid based on model predictive control[J].Power System Protection and Control,2019,47(21):11-20[点击复制] |
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| 摘要: |
| 针对微电网内负荷随机性大和网内分布式电源对负荷变化敏感度高的问题，利用模型预测控制中的动态矩阵预估控制对适用于微电网这一特点的专用逆变器输出控制器进行改进。对传统分布式发电系统的并网逆变器内部控制结构在保留传统功率控制器的基础上，利用基于模型控制的动态矩阵预估控制方法设计了模型预测控制器来替代传统控制结构中交流侧的电压环、电流环输出控制器和直流侧电压控制器。仿真实验验证了该逆变器控制方法提高了逆变器控制器的动态响应速度，改善了传统控制器的超调、振荡、稳态误差等问题，逆变器内部控制系统的动态性能得到提升。 |
| 关键词: 逆变器 模型预测控制 动态特性 微电网 分布式发电 |
| DOI：10.19783/j.cnki.pspc.181431 |
| 投稿时间：2018-11-15修订日期：2019-03-19 |
| 基金项目:国家自然科学基金项目资助(61571189);国家外国专家局111项目资助(B13009) |
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| Research on control method of special inverter in micro-grid based on model predictive control |
| DONG Runnan,LIU Shi,LIANG Geng,AN Xin |
| (School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China) |
| Abstract: |
| Aiming at the problem of high randomness of load and high sensitivity of distributed power supply to the load changes in the micro-grid, the special inverter output controller, which is applicable to the characteristic of the micro-grid, is improved through the dynamic matrix predictive control in model predictive control theory. For the internal control structure of the grid-connected inverter in the traditional distributed generation system, the traditional power controller is retained, and a model prediction controller is designed through the model-control-based dynamic matrix predictive control method to replace the voltage loop and current loop output controller at AC side and the voltage controller at DC side in the traditional control structure. It is proved in the simulation experiment that this inverter control method enhances the dynamic response speed of the inverter controller, improves the overshoot, oscillation and steady-state error of the traditional controller, and promotes the dynamic performance of the internal control system of the inverter. This work is supported by National Natural Science Foundation of China (No. 61571189) and 111 Project of State Administration of Foreign Experts (No. B13009). |
| Key words: inverter model predictive control dynamic characteristics micro-grid distributed generation |
