Multi-time scale reactive power optimal control strategy of a CSP-PV system based on model predictive control

被引:0
|
作者
Zhang H. [1 ]
Dong H. [1 ,2 ]
Chen Z. [3 ]
Huang R. [3 ]
Ding K. [3 ]
机构
[1] School of Automation and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou
[2] School of New Energy and Power Engineering, Lanzhou
[3] State Grid Gansu Electric Power Research Institute, Lanzhou
关键词
Bus voltage; CSP-PV system; Model predictive control; Multi-time scale; Reactive power optimal control;
D O I
10.19783/j.cnki.pspc.190705
中图分类号
学科分类号
摘要
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. © 2020, Power System Protection and Control Press. All right reserved.
引用
收藏
页码:135 / 142
页数:7
相关论文
共 24 条
  • [1] DING Ming, WANG Weisheng, WANG Xiuli, Et al., A review on the effect of large-scale PV generation on power systems, Proceedings of the CSEE, 34, 1, pp. 1-14, (2014)
  • [2] LI Yaowang, MIAO Shihong, LIU Junyao, Et al., Optimal allocation of energy storage system in PV micro grid considering uncertainty of demand response, Power System Protection and Control, 46, 20, pp. 69-77, (2018)
  • [3] ZHANG Shun, GE Zhiping, GUO Tao, Et al., Research on relationship between the capacity of systematic peak regulation and conventional power startup mode after access to large-scale new energy, Power System Protection and Control, 44, 1, pp. 106-110, (2016)
  • [4] SALMAN S, AI X, WU Z., Design of a P-&-O algorithm based MPPT charge controller for a stand-alone 200 W PV system, Protection and Control of Modern Power Systems, 3, 3, pp. 259-266, (2018)
  • [5] DU Ershun, ZHANG Ning, KANG Chongqing, Et al., Reviews and prospects of the operation and planning optimization for grid integrated concentrating solar power, Proceedings of the CSEE, 36, 21, pp. 5765-5775, (2016)
  • [6] KANG Chongqing, YAO Liangzhong, Key scientific issues and theoretical research framework for power systems with high pro-portion of renewable energy, Automation of Electric Power Systems, 41, 9, pp. 2-11, (2017)
  • [7] YAO Liangzhong, ZHU Lingzhi, ZHOU Ming, Et al., Prospects of coordination and optimization for power systems with high proportion of renewable energy, Automation of Electric Power Systems, 41, 9, pp. 36-43, (2017)
  • [8] DING T, LIU S, YUAN W, Et al., A two-stage robust reactive power optimization considering uncertain wind power integration in active distribution networks, IEEE Transactions on Sustainable Energy, 7, 1, pp. 301-311, (2016)
  • [9] ZHENG Y, LI S, TAN R., Distributed model predictive control for on-connected microgrid power management, IEEE Transactions on Control Systems Technology, 26, 3, pp. 1028-1039, (2018)
  • [10] VALVERDE G, CUTSEM T V., Model predictive control of voltages in active distribution networks, IEEE Transactions on Smart Grid, 4, 4, pp. 2152-2161, (2013)