Frequency Coordinated Control Strategy of Microgrid Based on Fuzzy Prediction

doi:10.16182/j.issn1004731x.joss.20-0298

Abstract

Abstract: Aiming at the problem of frequency fluctuation of wind power generation connected to microgrid, a frequency coordinated control strategy based on model predictive control (MPC) is proposed. In this strategy, the wind turbine and plug-in hybrid electric vehicle (PHEV) are included in the frequency control system. The pitch angle of the fan and the charge and discharge of PHEV are controlled to adjust the grid frequency and supplement the frequency modulation resources of microgrid. WTG pitch angle control system and PHEV power control system are modeled, and their control principles are described. In order to prevent excessive use of PHEV in the process of frequency modulation, the model predictive control (MPC) theory is introduced, and two independent MPC controllers are designed to control the pitch angle and the power output of PHEV respectively. The effectiveness of the proposed strategy is verified on MATLAB / simulink platform. The results show that the proposed strategy can effectively reduce the frequency deviation of microgrid and the amount of PHEV in large microgrid, and has faster response characteristics than the traditional PID control.

Key words: microgrid, frequency fluctuation, wind turbine generator, model predictive control, plug-in hybrid electric vehicle

CLC Number:

TP391

Zhang Kunping, Hao Lin. Frequency Coordinated Control Strategy of Microgrid Based on Fuzzy Prediction[J]. Journal of System Simulation, 2021, 33(3): 581-590.

References

[1] 沈珺, 柳伟, 李虎成, 等. 基于强化学习的多微电网分布式二次优化控制[J]. 电力系统自动化, 2020, 44(5): 198-206, 275-278.
Shen Jun, Liu Wei, Li Hucheng, et al. Reinforcement Learning Based Distributed Secondary Optimal Control for Multiple Microgrids[J]. Automation of Electric Power Systems, 2020, 44(5): 198-206, 275-278.
[2] 胡长斌, 王海鹏, 罗珊娜, 等. 基于鲁棒扰动观测器的直流微电网电压动态补偿控制[J]. 电力系统自动化, 2020, 44(5): 207-214, 259-261.
Hu Changbin, Wang Haipeng, Luo Shanna, et al. Voltage Dynamic Compensation Control of DC Microgrid Based on Robust Disturbance Observer[J]. Automation of Electric Power Systems, 2020, 44(5): 207-214, 259-261.
[3] Alegria E, Brown T, Minear E, et al.CERTS Microgrid Demonstration with Large-scale Energy Storage and Renewable Generation[J]. IEEE Trans. Smart Grid (S1949-3053), 2014, 5(2): 937-943.
[4] 王岳, 杨国华, 庄家懿, 等. 基于一致性算法的微电网无差调频控制策略[J]. 中国电力, 2020, 53(10): 187-191.
Wang Yue, Yang Guohua, Zhuang Jiayi, et al.Zero-Error Frequency Regulation Control Method for Microgrids Based on Consensus Algorithm[J]. Electric Power, 2020, 53(10): 187-191.
[5] Lin B Q, Luan R R.Are Government Subsidies Effective in Improving Innovation Efficiency? Based on the research of China's Wind Power Industry[J]. Science of the Total Environment (S0048-9697), 2020, 710: 136339.
[6] Han J, Solanki SK, Solanki J.Coordinated Predictive Control of a Wind/battery Microgrid System[J]. IEEE Emerging Sel. Topics Power Electron (S2168-6777), 2013, 1(4): 296-305.
[7] Zhang Y, Yuan J, Zhao C, et al.Can Dispersed Wind Power Take off in China: A Technical & Institutional Economics Analysis[J]. Journal of Cleaner Production (S0959-6526), 2020, 256.
[8] 毛安家, 马静, 蒯圣宇, 等. 高比例新能源替代常规电源后系统暂态稳定与电压稳定的演化机理[J]. 中国电机工程学报, 2020, 40(9): 2745-2755.
Mao Anjia, Ma Jing, Kuai Shengyu, et al.Evolution Mechanism of Transient and Voltage Stability for Power System With High Renewable Penetration Level[J] Proceedings of the CSEE, 2020, 40(9): 2745-2755.
[9] Masuta T, Yokoyama A.Supplementary Load Frequency Control by Use of a Number of Both Electric Vehicles and Heat Pump Water Heaters[J]. IEEE Trans. Smart Grid (S1949-3053), 2012, 3(3): 1253-1262.
[10] 李春, 卫志农, 孙国强, 等. 考虑风力发电波动引起频率偏差的电力系统状态估计[J]. 电网技术, 2015, 39(5): 1301-1306.
Li Chun, Wei Zhinong, Sun Guoqiang, et al.State Estimation of Power System Considering Frequency Deviation Caused by Fluctuation of Wind Power Generation[J]. Power System Technology, 2015, 39(5): 1301-1306.
[11] 熊玮, 鄢发齐, 汪旸, 等. 实际电网频率概率分布特性演变及成因分析[J]. 电力系统自动化, 2020, 44(2): 222-227.
Xiong Wei, Yan Faqi, Wang Yang, et al.Analysis on Variation of Frequency Probability Distribution and Causes in Actual Power Grid[J]. Automation of Electric Power Systems, 2020, 44(2): 222-227.
[12] 邓银秋, 汪震, 韩俊飞, 等. 适用于海上风电接入的多端柔直网内不平衡功率优化分配控制策略[J]. 中国电机工程学报, 2020, 40(8): 2406-2415.
Deng Yinqiu, Wang Zhen, Han Junfei, et al.Control Strategy on Optimal Redistribution of Unbalanced Power for Offshore Wind Farms Integrated VSC-MTDC[J] Proceedings of the CSEE, 2020, 40(8): 2406-2415.
[13] 张道田, 杨文思, 张扬, 等. 影响风电一次调频能力的参数选取[J]. 江西电力, 2019, 43(12): 56-60, 66.
Zhang Daotian, Yang Wensi, Zhang Yang, et al Selection of Parameters Affecting Primary Frequency Regulation Capability of Wind Power[J] Jiangxi Electric Power, 2019, 43(12): 56-60, 66.
[14] 王岳, 杨国华, 庄家懿, 等. 基于一致性算法的微电网无差调频控制策略[J]. 中国电力, 2020, 53(10): 187-191.
Wang Yue, Yang Guohua, Zhuang Jiayi, et al.Zero-Error Frequency Regulation Control Method for Microgrids Based on Consensus Algorithm[J]. Electric Power, 2020, 53(10): 187-191.
[15] 许瑞庆. 高风电渗透率下双馈风机参与系统调频的控制策略研究[D]. 北京: 华北电力大学, 2017.
Xu Ruiqing.Research on Control Strategy of DFIG Participating in System Frequency Regulation Under High Wind Power Penetration[D]. Beijing: North China Electric Power University, 2017.
[16] 刘柳, 王德林, 杨仁杰, 等. 基于桨距角控制的双馈风机参与电网二次调频控制策略研究[J]. 电工电能新技术, 2020, 39(5): 10-16.
Liu Liu, Wang Delin, Yang Renjie, et al.Research on Control Strategy of DFIG Participating in Secondary Frequency Regulation Based on Pitch[J]. Advanced Technology of Electrical Engineering and Energy, 2020, 39(5): 10-16.
[17] 刘其辉, 逯胜建. 参与微电网调频的电动汽车虚拟同步机充放电控制策略[J]. 电力系统自动化, 2018, 42(9): 171-179.
Liu Qihui, Lu Shengjian.Charging and Discharging Control Strategy Based on Virtual Synchronous Machine for Electrical Vehicle[J]. Automation of Electric Power Systems, 2018, 42(9): 171-179.