Active power control strategy based on characteristic curve fitting for photovoltaic sources

被引:2
|
作者
Cai, Hongda [1 ]
Yang, Pengcheng [1 ]
Wang, Yu [1 ]
Wei, Wei [2 ]
Li, Jing [1 ]
Zhou, Yongzhi [2 ]
机构
[1] Hangzhou City Univ, Sch Informat & Elect Engn, Hangzhou, Zhejiang, Peoples R China
[2] Zhejiang Univ, Sch Elect Engn, Hangzhou, Zhejiang, Peoples R China
关键词
active power control; curve fitting; maximum power point tracking; PV sources; FREQUENCY REGULATION STRATEGY; PV SYSTEMS; GENERATION; PLANTS;
D O I
10.1002/eng2.12723
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
With the explosive growth of photovoltaic (PV) penetration, there is an increasingly urgent expectation for PV sources to provide a full range of ancillary services to the utility. The most critical issue for a PV source to support the power system is the flexible power regulating capability, whereas the PV sources generally operates in the maximum power point tracking (MPPT) mode to maximize the solar harvest. This paper proposes an active power control strategy for PV sources based on a characteristic curve fitting method. With the proposed control strategy, PV sources can operate in the MPPT mode or adaptively switch to the power dispatch mode to flexibly regulate its output power to track the power reference. The characteristic curve fitting method does not require an irradiation sensor, but it has a more stable performance under rapid and continuous change in irradiation with simple calculation and error control since its extremely high similarity with the P-U characteristics of the PV source. Simulation is performed based on a detailed PV dynamic model to validate the proposed control strategy.
引用
收藏
页数:13
相关论文
共 50 条
  • [1] Active Power Sharing Control Strategy of Photovoltaic Microgrid Based on Adaptive Droop
    Li, Shengqing
    Yan, Shi
    Zheng, Jian
    Deng, Na
    IEEE SENSORS JOURNAL, 2022, 22 (24) : 23716 - 23723
  • [2] A Photovoltaic Virtual Synchronous Generator Control Strategy Based on Active Power Reserve
    Zhang H.
    Zhang X.
    Li M.
    Zhang H.
    Guan W.
    Zhao W.
    Dianwang Jishu/Power System Technology, 2019, 43 (02): : 514 - 520
  • [3] Hierarchical Prediction Control Strategy of Active Power for Photovoltaic Cluster
    Ye L.
    Cheng W.
    Li Z.
    Chu X.
    Zhao Y.
    Pei M.
    Zheng Y.
    Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2023, 47 (02): : 42 - 52
  • [4] A Rapid Fitting Method of DSR Based on Characteristic Quantities of the Maximum Power Angle Curve
    Liu Huaidong
    Meng Fansong
    2013 IEEE INTERNATIONAL CONFERENCE OF IEEE REGION 10 (TENCON), 2013,
  • [5] Droop Control Based Strategy for Photovoltaic Sources in an Islanded Microgrid
    Jiang, Jiahui
    Coates, Colin
    2018 AUSTRALASIAN UNIVERSITIES POWER ENGINEERING CONFERENCE (AUPEC), 2018,
  • [6] Photovoltaic active power control based on BESS smoothing
    Shi, Linjun
    Fa, Ladier
    Zhu, Haoqing
    Shi, Jiangfeng
    Wu, Feng
    He, Weiguo
    Wang, Chun
    Lee, Kwang Y.
    Lin, Keman
    IFAC PAPERSONLINE, 2019, 52 (04): : 443 - 448
  • [7] MPPT algorithm based on power duty cycle differential characteristic curve for photovoltaic system
    Peng, H. (651513029@qq.com), 2013, Electric Power Automation Equipment Press (33):
  • [8] Maximum power point tracking technique based on sweeping the characteristic curve of the photovoltaic module
    Amaral da Luz, Caio Meira
    Silva, Italo Ferreira
    Vicente, Paula dos Santos
    Vicente, Eduardo Moreira
    Tofoli, Fernando Lessa
    Ribeiro, Enio Roberto
    SUSTAINABLE COMPUTING-INFORMATICS & SYSTEMS, 2022, 33
  • [9] An Active Power Control Strategy for Large-scale Clusters of Photovoltaic Power Stations
    Zhao Liang
    Qu Linan
    Ge Luming
    Chen Ning
    Zhu Lingzhi
    2014 IEEE PES GENERAL MEETING - CONFERENCE & EXPOSITION, 2014,
  • [10] A Unified Active Frequency Regulating and Maximum Power Point Tracking Strategy for Photovoltaic Sources
    Cai, Hongda
    Xia, Yanghong
    Yang, Pengcheng
    Li, Jing
    Zhou, Yongzhi
    Wei, Wei
    ELECTRONICS, 2023, 12 (16)