Operation Control Design of Grid-Connected Photovoltaic and Fuel Cell/Supercapacitor Hybrid Energy Storage System

被引:0
作者
Zhou, Ke [1 ]
Wen, Xiankui [1 ]
He, Mingjun [1 ]
Tang, Qian [2 ]
Tan, Junfeng [3 ]
机构
[1] Guizhou Power Grid Co Ltd, Elect Power Res Inst, Guiyang 550002, Peoples R China
[2] Guizhou Power Grid Co Ltd, Liupanshui Power Supply Bur, Liupanshui 553001, Peoples R China
[3] China Southern Power Grid Artificial Intelligence, Guangzhou 510000, Peoples R China
关键词
grid-connected operation; photovoltaic power generation; hybrid energy storage; fuel cell; supercapacitor; power allocation; PV;
D O I
10.3390/en18051088
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
In order to smooth the fluctuation of photovoltaic (PV) power affected by irradiation conditions, weaken the frequent disturbance to the distribution network, and, thus, enhance its acceptance to PV, a fuel cell/supercapacitor hybrid energy storage device (FSHESS) is configured on the DC side of a grid-connected PV system, which is combined with the PV unit to form a hybrid PV power generation system, i.e., the PV-FSHESS. Based on the analysis of the electrical characteristics of the FC and the SC, an improved low-pass filtering method based on rules and considering the state of charge constraint of the SC is proposed for the power allocation of the FSHESS. With respect to the problem of DC-bus voltage stabilization, a modified variable speed integral nonlinear PI controller is presented for the purpose of overcoming the following disadvantages: (i) the ordinary PI controller cannot adaptively adjust the cumulative speed of the integral term in line with the deviation, which may cause large overshoot and oscillation; and (ii) the conventional variable speed integral controller has more parameters, which increases the difficulty of parameter tuning. The simulation verification is carried out under different operating conditions of PV output power and load demands, and the results prove the effectiveness of the proposed control scheme.
引用
收藏
页数:15
相关论文
共 32 条
  • [11] Active Power Management of Multihybrid Fuel Cell/Supercapacitor Power Conversion System in a Medium Voltage Microgrid
    Ghazanfari, Amin
    Hamzeh, Mohsen
    Mokhtari, Hossein
    Karimi, Houshang
    [J]. IEEE TRANSACTIONS ON SMART GRID, 2012, 3 (04) : 1903 - 1910
  • [12] Intelligent Digital Twin Modelling for Hybrid PV-SOFC Power Generation System
    Guo, Zhimin
    Ye, Zhiyuan
    Ni, Pengcheng
    Cao, Can
    Wei, Xiaozhao
    Zhao, Jian
    He, Xing
    [J]. ENERGIES, 2023, 16 (06)
  • [13] A comprehensive study of battery-supercapacitor hybrid energy storage system for standalone PV power system in rural electrification
    Jing, Wenlong
    Lai, Chean Hung
    Wong, Wallace S. H.
    Wong, M. L. Dennis
    [J]. APPLIED ENERGY, 2018, 224 : 340 - 356
  • [14] Power and Voltage Control Based on DC Offset Injection for Bipolar Low-voltage DC Distribution System
    Kong, Xinyi
    Zhang, Jianwen
    Zhou, Jianqiao
    Zang, Jiajie
    Wang, Jiacheng
    Shi, Gang
    Cai, Xu
    [J]. JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY, 2023, 11 (05) : 1529 - 1539
  • [15] [李学斌 Li Xuebin], 2019, [电网技术, Power System Technology], V43, P1650
  • [16] [刘海涛 Liu Haitao], 2022, [控制理论与应用, Control Theory & Applications], V39, P1661
  • [17] [孟建辉 Meng Jianhui], 2014, [电工技术学报, Transactions of China Electrotechnical Society], V29, P219
  • [18] Event-Triggered Model Predictive Control for the Inverter of a Grid-Connected Microgrid With a Battery-Supercapacitor HESS
    Peng, Weiwen
    Chen, Qianling
    Manandhar, Ujjal
    Wang, Benfei
    Rodriguez, Jose
    [J]. IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS, 2023, 11 (06) : 5540 - 5552
  • [19] A hybrid heuristic-reinforcement learning-based real-time control model for residential behind-the-meter PV-battery systems
    Rezaeimozafar, Mostafa
    Duffy, Maeve
    Monaghan, Rory F. D.
    Barrett, Enda
    [J]. APPLIED ENERGY, 2024, 355
  • [20] A review of behind-the-meter energy storage systems in smart grids
    Rezaeimozafar, Mostafa
    Monaghan, Rory F. D.
    Barrett, Enda
    Duffy, Maeve
    [J]. RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2022, 164