Novel tuning rules for IMC-high-order PID load frequency controller of power systems

被引:6
作者
Hu, Xingqi [1 ]
Tan, Wen [2 ]
Hou, Guolian [1 ]
机构
[1] North China Elect Power Univ, Sch Control & Comp Engn, Beijing 102206, Peoples R China
[2] North China Univ Technol, Sch Elect & Control Engn, Beijing, Peoples R China
来源
RESULTS IN CONTROL AND OPTIMIZATION | 2024年 / 15卷
关键词
Load frequency control; Internal model control; Proportional; -integral; -derivative; Robustness; Disturbance rejection performance; DIFFERENTIAL EVOLUTION ALGORITHM; AUTOMATIC-GENERATION CONTROL; LEARNING BASED OPTIMIZATION; SEARCH ALGORITHM; CONTROL SCHEME; DESIGN; AREA; LFC;
D O I
10.1016/j.rico.2024.100435
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
The problem of load frequency control (LFC) for power grids has received widespread attention in power industrial control. Ensuring the stability of the frequency is the primary concern that constrains the development of the electric power system. This paper presents a novel internal model control (IMC)- proportional-integral-derivative (PID) controller design method for LFC control systems, centered on pole-zero conversion. This method aims to simplify the system model's complexity and improve the system's performance. The IMC controller is approximated as a PID series compensator (high-order PID), with exact tuning formulas provided for various scenarios. These include single-area without or with reheat turbines, hydro turbines with transient droop compensators, wind turbines, and gas turbines. The tuning formulas are characterized by a single parameter, determined under robustness constraints and integrated time absolute error (ITAE). The proposed tuning method considers the generator rate constraint (GRC) and applies to multi-area single-source and multi-area multi-source power systems. The results of the simulation confirm that the controller tuning method presented in this paper has significant advantages over the existing design methods concerning robustness and anti-interference performance.
引用
收藏
页数:23
相关论文
共 47 条
[1]   Cuckoo Search algorithm based load frequency controller design for nonlinear interconnected power system [J].
Abdelaziz, A. Y. ;
Ali, E. S. .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2015, 73 :632-643
[2]   A new PID load frequency controller design method in frequency domain through direct synthesis approach [J].
Anwar, Md Nishat ;
Pan, Somnath .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2015, 67 :560-569
[3]   Comparative performance analysis of teaching learning based optimization for automatic load frequency control of multi-source power systems [J].
Barisal, A. K. .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2015, 66 :67-77
[4]   APPLICATION OF NEURAL NETWORKS TO LOAD-FREQUENCY CONTROL IN POWER-SYSTEMS [J].
BEAUFAYS, F ;
ABDELMAGID, Y ;
WIDROW, B .
NEURAL NETWORKS, 1994, 7 (01) :183-194
[5]   Novel tuning rules for PIDC and PID load frequency controllers considering robustness and sensitivity to measurement noise [J].
Boskovic, Marko ;
Sekara, Tomislav B. ;
Rapaic, Milan R. .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2020, 114
[6]   Improved load frequency control of interconnected power systems using energy storage devices and a new cost function [J].
Celik, Emre ;
Ozturk, Nihat ;
Houssein, Essam H. .
NEURAL COMPUTING & APPLICATIONS, 2023, 35 (01) :681-697
[7]   Novel fuzzy 1PD-TI controller for AGC of interconnected electric power systems with renewable power generation and energy storage devices [J].
Celik, Emre ;
Ozturk, Nihat .
ENGINEERING SCIENCE AND TECHNOLOGY-AN INTERNATIONAL JOURNAL-JESTECH, 2022, 35
[8]   (1+PD)-PID cascade controller design for performance betterment of load frequency control in diverse electric power systems [J].
Celik, Emre ;
Ozturk, Nihat ;
Arya, Yogendra ;
Ocak, Cemil .
NEURAL COMPUTING & APPLICATIONS, 2021, 33 (22) :15433-15456
[9]   Area load frequency control using fuzzy gain scheduling of PI controllers [J].
Chang, CS ;
Fu, WH .
ELECTRIC POWER SYSTEMS RESEARCH, 1997, 42 (02) :145-152
[10]   Load frequency control: a generalised neural network approach [J].
Chaturvedi, DK ;
Satsangi, PS ;
Kalra, PK .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 1999, 21 (06) :405-415