Journal of Shanghai Jiao Tong University

Journal of Shanghai Jiaotong University >

2024 , Vol. 58 >Issue 6: 954 - 964

DOI: https://doi.org/10.16183/j.cnki.jsjtu.2022.459

New Type Power System and the Integrated Energy

Load Frequency Control of Islanding Micro-Grid with High-Proportional Renewable Energy Based on Desired Dynamics Equation

  • WU Zhenlong ,
  • LIU Yanhong ,
  • XUE Yali ,
  • LI Donghai ,
  • CHEN Yangquan
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  • 1. School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou 450001, China
    2. Department of Energy and Power Engineering, Tsinghua University, Beijing 100084, China
    3. School of Engineering, University of California, Merced CA 95343, USA

Received date: 2022-11-15

  Revised date: 2023-03-08

  Accepted date: 2023-03-10

  Online published: 2023-03-20

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Abstract

A proportional-integral-derivative (PID) control strategy based on desired dynamics equation is proposed to solve the problem of load frequency control in micro-grid integrated with a large proportion of renewable energy. Based on the analysis of the load frequency control model and control difficulties of the micro-grid, a PID control strategy based on desired dynamics equation is designed. By analyzing the influence of controller parameters on the control performance using the single variable method, a simple and practical parameter procedure is summarized and the proposed controller strategy is applied to the load frequency control of the micro-grid. The simulation comparison with various controllers under different conditions show that the proposed control strategy can obtain the best control performance with good robustness and have a significant value for engineering application.

Key words： micro-grid; load frequency control; desired dynamics equation; proportional-integral-derivative (PID); parameter tuning

Cite this article

WU Zhenlong , LIU Yanhong , XUE Yali , LI Donghai , CHEN Yangquan . Load Frequency Control of Islanding Micro-Grid with High-Proportional Renewable Energy Based on Desired Dynamics Equation[J]. Journal of Shanghai Jiaotong University, 2024 , 58(6) : 954 -964 . DOI: 10.16183/j.cnki.jsjtu.2022.459

References

[1] 刘吉臻, 王玮, 胡阳, 等. 新能源电力系统控制与优化[J]. 控制理论与应用, 2016: 33(12): 1555-1561.
  LIU Jizhen, WANG Wei, HU Yang, et al. Control and optimization of alternate electrical power system with renewable energy sources[J]. Control Theory & Applications, 2016, 33(12): 1555-1561.
[2] 陈春, 高靖, 曹一家, 等. 多源配网主动孤岛恢复过程电压频率波动的平抑方法[J]. 上海交通大学学报, 2022, 56(5): 543-553.
  CHEN Chun, GAO Jing, CAO Yijia, et al. Voltage and frequency suppression of intentional islanding restoration process for distribution system with multi-generations[J]. Journal of Shanghai Jiao Tong University, 2022, 56(5): 543-553.
[3] JIANG T Y, JU P, WANG C, et al. Coordinated control of air-conditioning loads for system frequency regulation[J]. IEEE Transactions on Smart Grid, 2021, 12(1): 548-560.
[4] ALHELOU H, HAMEDANI-GOLSHAN M E, ZAMANI R, et al. Challenges and opportunities of load frequency control in conventional, modern and future smart power systems: A comprehensive review[J]. Energies, 2018, 11(10): 2497.
[5] ABOU EL-ELA A A, EL-SEHIEMY R A, SHAHEEN A M, et al. Design of cascaded controller based on coyote optimizer for load frequency control in multi-area power systems with renewable sources[J]. Control Engineering Practice, 2022, 121: 105058.
[6] SINGH K. Load frequency regulation by de-loaded tidal turbine power plant units using fractional fuzzy based PID droop controller[J]. Applied Soft Computing, 2020, 92: 106338.
[7] WU Z L, LIU Y H, CHEN Y Q, et al. Load frequency regulation for multi-area power systems with renewable sources via active disturbance rejection control[J]. Energy Reports, 2022, 8: 401-409.
[8] MI Y, XU Y W, SHI S, et al. Sliding mode load frequency control design for the novel integrated model of time-delay renewable power system[J]. Proceedings of the CSEE, 2022, 42(11): 3953-3963.
[9] MU C X, TANG Y F, HE H B. Improved sliding mode design for load frequency control of power system integrated an adaptive learning strategy[J]. IEEE Transactions on Industrial Electronics, 2017, 64(8): 6742-6751.
[10] 杨德友, 蔡国伟. 含规模化风电场/群的互联电网负荷频率广域分散预测控制[J]. 中国电机工程学报, 2015, 35(3): 583-591.
  YANG Deyou, CAI Guowei. Decentralized model predictive control based load frequency control for high wind power penetrated power systems[J]. Proceedings of the CSEE, 2015, 35(3): 583-591.
[11] KAMAL F, CHOWDHURY B. Model predictive control and optimization of networked microgrids[J]. International Journal of Electrical Power & Energy Systems, 2022, 138: 107804.
[12] HAN J Q. From PID to active disturbance rejection control[J]. IEEE Transactions on Industrial Electronics, 2009, 56(3): 900-906.
[13] YAN Z M, XU Y. Data-driven load frequency control for stochastic power systems:A deep reinforcement learning method with continuous action search[J]. IEEE Transactions on Power Systems, 2019, 34(2): 1653-1656.
[14] 范培潇, 柯松, 杨军, 等. 基于改进多智能体深度确定性策略梯度的多微网负荷频率协同控制策略[J]. 电网技术, 2022, 46(9): 3504-3515.
  FAN Peixiao, KE Song, YANG Jun, et al. Load frequency coordinated control strategy of multi-microgrid based on improved MA-DDPG[J]. Power System Technology, 2022, 46(9): 3504-3515.
[15] SOMEFUN O A, AKINGBADE K, DAHUNSI F. The dilemma of PID tuning[J]. Annual Reviews in Control, 2021, 52: 65-74.
[16] SHI G J, LI D H, DING Y J, et al. Desired dynamic equational proportional-integral-derivative controller design based on probabilistic robustness[J]. International Journal of Robust & Nonlinear Control, 2022, 32(18): 9556-9592.
[17] BALAJI K. Load frequency control in stochastic macro grid[EB/OL]. (2020-12-05)[2022-05-29]. https://www.mathworks.com/matlabcentral/fileexchange/83908-load-frequency-control-in-stochastic-dynamic-micro-grid.
[18] ?STR?M K J, PANAGOPOULOS H, H?GGLUND T. Design of PI controllers based on non-convex optimization[J]. Automatica, 1998, 34(5): 585-601.
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