Distributed model predictive load frequency control of a multi-area power system considering controllable load

被引:0
|
作者
Fu Y. [1 ]
Song Y. [1 ]
机构
[1] School of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo
基金
中国国家自然科学基金;
关键词
alternating direction method of multiplier in continuous time domain; controllable load; distributed model predictive control; load frequency control;
D O I
10.19783/j.cnki.pspc.221739
中图分类号
学科分类号
摘要
Because of the large inertia of a synchronous generator, conventional centralized load frequency control is not fast enough. Controllable load resources with fast response capability on the user side provide new opportunities for system frequency regulation. In this paper, the load frequency control of a multi-area interconnected power system with controllable load regulation capability is studied. Load frequency response and automatic generation control models of a multi-area interconnected power system with controllable load are established. Based on a continuous time domain alternating direction multiplier algorithm and the distributed model predictive control method, a distributed model predictive optimal load frequency control model of a multi-area interconnected power system with controllable load participation is proposed. Simulation is carried out based on the modified three-area IEEE39 bus system, illustrating that the proposed model can significantly reduce the time required for the system to return to a steady state. The control freedom of the distributed control strategy is higher, and this enhances the controllability of the system. © 2023 Power System Protection and Control Press. All rights reserved.
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页码:101 / 109
页数:8
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  • [1] LI Zhijun, WANG Shuo, ZHANG Jia'an, Et al., Variable universe fuzzy logic-based load frequency control in an interconnected power system, Power System Protection and Control, 49, 16, pp. 151-160, (2021)
  • [2] LI Mofa, ZHANG Zhiwen, LIAN Honghai, Et al., Sampling load frequency control of power systems with doubly-fed wind power, Power System Protection and Control, 51, 2, pp. 77-88, (2023)
  • [3] YANG Jianwei, DONG Hongzhi, LIAO Kai, Et al., Joint optimization of load frequency control considering auxiliary frequency regulation of electric vehicles, Electric Power Automation Equipment, 39, 3, pp. 200-206, (2019)
  • [4] ZOU Yidong, QIAN Jing, ZHANG Wenying, Et al., Optimal H2/H ∞ robust control for the load frequency of a microgrid including wind power-photovoltaic-small hydropower based on CPSOGSA, Power System Protection and Control, 50, 11, pp. 42-51, (2022)
  • [5] LI Zhijun, WANG Shuo, ZHANG Jia'an, Et al., Variable universe fuzzy logic-based load frequency control in an interconnected power system, Power System Protection and Control, 49, 16, pp. 151-160, (2021)
  • [6] SHAN Hua, HE Jing, FAN Lixin, Et al., Research on fractional order PID control of regional load frequency of pumped storage power station, Power System Technology, 44, 4, pp. 1410-1418, (2020)
  • [7] LIANG Yudong, CHEN Luan, ZHANG Guozhou, Et al., Load frequency control strategy of hybrid power generation system: a deep reinforcement learning-based approach, Transactions of China Electrotechnical Society, 37, 7, pp. 1768-1779, (2022)
  • [8] WU Liang, YANG Jinming, Load frequency control of area power system with multi-source power generation based on differential games theory, Proceedings of the CSEE, 34, 16, pp. 2676-2683, (2014)
  • [9] XUE Shuai, GAO Houlei, GUO Yifei, Et al., Bi-level distributed active power control for a large-scale wind farm, Power System Protection and Control, 49, 3, pp. 1-9, (2021)
  • [10] LI Hui, WANG Zhidong, WANG Xiao, Et al., Coordinated dispatch of power grid based on stochastic model predictive control, Electric Power Automation Equipment, 39, 7, pp. 30-36, (2019)