| 引用本文: | 李立雄,阳同光,袁越阳,蔡振华.基于改进有限集模型预测控制策略的光伏发电系统[J].电力系统保护与控制,2021,49(17):28-37.[点击复制] |
| LI Lixiong,YANG Tongguang,YUAN Yueyang,CAI Zhenhua.Maximum power point tracking algorithm of a photovoltaic power generation system based onan improved finite set model predictive control strategy[J].Power System Protection and Control,2021,49(17):28-37[点击复制] |
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| 摘要: |
| 光伏发电系统I-U曲线具有非线性特性，在温度变化或部分阴影条件下光伏阵列P-U曲线出现多个功率峰值现象，增大了功率追踪的复杂性。为提升最大功率点追踪的准确性和系统动态响应能力，提出一种改进的有限集模型预测控制(FCS-MPC)策略，在单级变换系统中实现MPPT和逆变器输出两方控制。在环境突变或渐变情况下，预测量和量测量对比出现漂移时能迅速做出正确的跟踪决策。将跟踪决策结果作为参考量输入FCS-MPC，并将输出结果作为逆变器的开关控制信号。基于Matlab设计了相应的FCS-MPC控制器，并与扰动观察法进行比较。最后，通过仿真对所提算法进行了验证，理论分析、仿真结果相契合。 |
| 关键词: 光伏系统 最大功率点跟踪 牛顿插值计算法 有限集模型预测控制 |
| DOI：DOI: 10.19783/j.cnki.pspc.201394 |
| 投稿时间：2020-11-11修订日期：2021-03-22 |
| 基金项目:湖南省自然科学基金项目资助(2020JJ4159)；湖南省教育厅科学研究项目资助(19C0363) |
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| Maximum power point tracking algorithm of a photovoltaic power generation system based onan improved finite set model predictive control strategy |
| LI Lixiong,YANG Tongguang,YUAN Yueyang,CAI Zhenhua |
| (1. Key Laboratory Energy Monitoring and Edge Computing for Smart City of Hunan Province, Yiyang 413099, China;
2. School of Electrical and Information Engineering, Hunan University, Changsha 410079, China) |
| Abstract: |
| The I-U curve of a photovoltaic power generation system has nonlinear characteristics. When there is temperature change or partial shade, the P-U curve of a photovoltaic array has multiple power peaks, which increase the complexity of power tracking. To improve the accuracy of maximum power point tracking and system dynamic response capability, an improved Finite Control Set-Model Predictive Control (FCS-MPC) strategy is proposed to realize MPPT and inverter output control in single-stage converter system. For either abrupt or gradual change, it takes into account multiple previous samples of power, and based on those is able to take the correct tracking decision when the predicted and measured power differ (in the case of drift). After the tracking decision is taken, it will be sent to a second part of the algorithm as a reference, and the FCS-MPC output result is used as the switching control signal of the inverter. The FCS-MPC controller is designed based on Matlab, and comparing with disturbance observation. Finally, the proposed algorithm is verified by simulation. The theoretical analysis and simulation results are consistent.
This work is supported by the Natural Science Foundation of Hunan Province (No. 2020JJ4159) and Scientific Research Project of Hunan Education Department (No. 19C0363). |
| Key words: photovoltaic systems maximum power point tracking Newton interpolation calculation (NI) finite control set model predictive control (FCS-MPC) |
