| 引用本文: | 张宏,董海鹰,陈钊,黄蓉,丁坤.基于模型预测控制的光热-光伏系统多时间尺度无功优化控制策略研究[J].电力系统保护与控制,2020,48(9):135-142.[点击复制] |
| ZHANG Hong,DONG Haiying,CHEN Zhao,HUANG Rong,DING Kun.Multi-time scale reactive power optimal control strategy of a CSP-PV system based on model predictive control[J].Power System Protection and Control,2020,48(9):135-142[点击复制] |
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| 摘要: |
| 针对光热-光伏系统无功控制问题，提出一种基于模型预测控制MPC (Model Predictive Control)的多时间尺度无功优化控制策略。在日前优化同步发电机与光伏逆变器无功出力的基础上，日内采用基于MPC的滚动优化及反馈校正控制思路，利用动态无功补偿设备控制母线电压。通过基于灵敏度的电压预测模型，预测未来多个时刻电压运行状态。在此基础上，以未来多个时刻预测电压控制偏差最小为优化目标，建立日内滚动优化模型，得到动态无功补偿设备的无功控制计划，并通过电压控制偏差反馈校正，完成日内无功电压的模型预测控制。以中国敦煌地区光热电站与光伏电站所组成联合发电系统为仿真算例，通过与传统多时间尺度无功优化控制策略对比，验证该控制策略在提高系统汇集母线电压和光热、光伏电站PCC母线电压的稳定性的可行性与有效性。 |
| 关键词: 光热-光伏系统 模型预测控制 多时间尺度 无功优化控制 母线电压 |
| DOI：10.19783/j.cnki.pspc.190705 |
| 投稿时间：2019-06-17修订日期：2019-07-07 |
| 基金项目:国家电网公司科技项目资助(SGGSKY00FJJS1800140) |
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| Multi-time scale reactive power optimal control strategy of a CSP-PV system based on model predictive control |
| ZHANG Hong,DONG Haiying,CHEN Zhao,HUANG Rong,DING Kun |
| (School of Automation and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China;School of Automation and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China;School of New Energy and Power Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China;State Grid Gansu Electric Power Research Institute, Lanzhou 730050, China) |
| Abstract: |
| The Concentrating Solar Power and Photovoltaic Power (CSP-PV) system have a reactive power control problem. To address this, a multi-time scale reactive power optimal control strategy based on MPC is proposed. Based on the day-ahead optimal reactive power of a synchronous generator and photovoltaic inverter, the bus voltage is controlled by dynamic reactive power compensation equipment within the intra-day time scale. This adopts the idea of rolling optimization and correcting control based on MPC. The voltage prediction model based on sensitivity is used to predict the voltage states at multiple moments in the future. On this basis, an intra-day rolling optimization model is established with minimum deviation of the predicted voltage control at multiple future moments as the optimization objective to obtain the reactive power control plan of the dynamic reactive power compensation equipment. The model predictive control of the in-day-reactive power and voltage is completed by feedback correction of the voltage control deviation. Taking the CSP-PV combined power generation system in the DUN Huang area of China as a simulation example, by comparing with the traditional multi-time scale reactive power optimization control strategy, the feasibility and effectiveness of the proposed control strategy in improving the system bus voltage and the stability of the PCC bus voltage for concentrating solar power station and photovoltaic power station are verified. This work is supported by Science and Technology Project of State Grid Corporation of China (No. SGGSKY00FJJS 1800140). |
| Key words: CSP-PV system model predictive control multi-time scale reactive power optimal control bus voltage |
