Fuzzy adaptive power control for photovoltaic power generation participating in frequency regulation of microgrid

被引：0
|
作者：
Li Z. [1 ]
Wu L. [1 ]
Cheng Z. [1 ]
Jia D. [1 ]
Sun H. [2 ]
机构：
[1] School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou
[2] State Grid Henan Electric Power Company Xuchang Power Supply Company, Xuchang
来源：
Dianji yu Kongzhi Xuebao/Electric Machines and Control | 2023年 / 27卷 / 09期
关键词：
adaptive; frequency regulation; fuzzy control; maximum power point tracking; microgrid; photovoltaic power generation;
D O I：
10.15938/j.emc.2023.09.014
中图分类号：
学科分类号：
摘要：
A fuzzy adaptive power control strategy was proposed for the issue of insufficient system inertia and frequency response capability caused by the increasing penetration of photovoltaic (PV) power generation in microgrid. Firstly, each adjacent two groups of PV arrays were connected to the microgrid through two parallel Buck-Boost DC / DC converter, and then connected to the microgrid through a DC / AC inverter. One group of PV array operating in the maximum power point tracking mode provides the maximum power reference for the other DC / DC converter operating in the fuzzy adaptive power tracking mode. Secondly, considering the frequency fluctuations caused by load variations and irradiance fluctuations, a fuzzy adaptive controller was designed, which takes the maximum power reference provided by the adjacent PV arrays and the system frequency as input. Then a power reserve factor was generated, and PV output power reference was generated to realize the adaptive regulation of PV power generation. Finally, the PV arrays operating in fuzzy adaptive power tracking mode are with flexible power reserves, which can realize bi-directional regulation of microgrid frequency by adaptively increasing or decreasing the power reservation. This strategy shows the advantages of no requirements of MPP estimator or detailed PV model, and it is easy to implement. The simulation results of an IEEE 13 bus test system demonstrates that the proposed control strategy can effectively suppress the frequency fluctuation of the microgrid. © 2023 Editorial Department of Electric Machines and Control. All rights reserved.
引用
收藏
页码：126 / 138
页数：12
相关论文
共 38 条
  • [31] KAOUANE M, BOUKHELIFA A, CHERITI A., Regulated output voltage double switch Buck-Boost converter for photovoltaic energy application, International Journal of Hydrogen Energy, 41, 45, (2016)
  • [32] CHEN Shuquan, ZHANG Zhaoyun, LI Tianli, Research on voltage control of DC microgrid based on fuzzy droop control, Power System Technology, 21, 8, (2020)
  • [33] SUN Y, LI S H, LIN Bo, Et al., Artificial neural network for control and grid integration of residential solar photovoltaic systems [ J ], IEEE Transactions on Sustainable Energy, 8, 4, (2017)
  • [34] BAHRANI B, BAHRANI M, RUFER A, Et al., High-order vector control of grid-connected voltage-source converters with LCL-filters, IEEE Transactions on Industrial Electoronics, 61, 6, (2014)
  • [35] LI Z W, CHENG Z P, SI J K., Adaptive power point tracking control of PV system for primary frequency regulation of AC microgrid with high PV integration, IEEE Transactions on Power System, 36, 4, (2021)
  • [36] LOUTAN C, KLAUER P, CHOWDHURY S, Et al., Demonstration of essential reliability services by a 300 MW solar photovoltaic power plant, (2017)
  • [37] GEVORGIAN V., Highly accurate method for real-time active power reserve estimation for utility-scale photovoltaic power plants, (2019)
  • [38] DATTA M, SENJUY A, YONA A, Et al., A frequency-control approach by photovoltaic generator in a PV-diesel hybrid power system, IEEE Transactions on Energy Conversion, 26, 2, (2011)
1234