Design and analysis of hybrid firefly algorithm-pattern search based fuzzy PID controller for LFC of multi area power systems

Sahu, Rabindra Kumar; Panda, Sidhartha; Pradhan, Pratap Chandra

doi:10.1016/j.ijepes.2015.01.019

Cited by 77 publications

(31 citation statements)

References 25 publications

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“…In order to obtain better performance of the PI-type LFC, the parameter optimization methods of the PI-type controller are proposed in [3][4][5]. To enhance the robustness and reliability of the control system, some fuzzy-logic-based LFC methods are introduced in [6][7][8][9]. In addition, some advanced control technologies are utilized to improve LFC performance, such as sliding mode methods [10][11][12], optimal or suboptimal feedback control methods [13][14][15][16], and robust control methods [17][18][19].…”

Section: Introductionmentioning

confidence: 99%

Anti-Windup Load Frequency Controller Design for Multi-Area Power System with Generation Rate Constraint

et al. 2016

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Abstract:To deal with the problem of generation rate constraint (GRC) during load frequency control (LFC) design for a multi-area interconnected power system, this paper proposes an anti-windup controller design method. Firstly, an H ∞ dynamic controller is designed to obtain robust performance of the closed-loop control system in the absence of the GRC. Then, an anti-windup compensator (AWC) is formulated to restrict the magnitude and rate of the control input (namely power increment) in the prescribed ranges so that the operation of generation unit does not exceed the physical constraints. Finally, the anti-windup LFC is tested on the multi-area interconnected power systems, and the simulation results illustrate the effectiveness of the proposed LFC design method with GRC.

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Section: Introductionmentioning

confidence: 99%

Anti-Windup Load Frequency Controller Design for Multi-Area Power System with Generation Rate Constraint

et al. 2016

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“…However, for higher-order systems, fuzzy PI controller during the transient phase may not exhibit good performance because of their internal integration operation. To attain an overall improved performance, generally fuzzy PID controller is recommended (Yesil et al 2004;Sahu et al 2014Sahu et al , 2015cSekhar et al 2016). A BFOAbased fuzzy integral double derivative structured controller is proposed with optimized mfs and output scaling factors for AGC of a traditional three-area hydrothermal system ).…”

Section: Literature Reviewmentioning

confidence: 99%

“…The FPID controller structure is shown in Fig. 3 (Sahu et al , 2015c. The error inputs to the fuzzy logic controller (FLC) are the respective area control error (ACE) represented by:…”

Section: Controller Structurementioning

confidence: 99%

Design and analysis of BFOA-optimized fuzzy PI/PID controller for AGC of multi-area traditional/restructured electrical power systems

Arya

Kumar

2016

Soft Comput

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In this paper, design and performance analysis of bacterial foraging optimization algorithm (BFOA)-optimized fuzzy PI/PID (FPI/FPID) controller for automatic generation control of multi-area interconnected traditional/restructured electrical power systems is presented. Firstly a traditional two-area non-reheat thermal system is considered, and gains of the fuzzy controller are tuned employing BFOA using integral of squared error objective function. The supremacy of this controller is demonstrated by juxtaposing the results with particle swarm optimization (PSO), firefly algorithm (FA), BFOA, hybrid BFOA-PSObased PI and fuzzy PI controllers based upon pattern search (PS) and PSO algorithms for the same power system structure. The approach is then extended to a two-area reheat system, and improved results are found with the purported FPI/FPID controller in comparison with PSO and artificial bee colony optimized PI controller. Further, the approach is implemented on a traditional multi-source multi-area (MSMA) hydrothermal system and its superb performance is observed over genetic algorithm and hybrid FA-PS tuned PI controller. Additionally, to demonstrate the scalability of the designed controller to cope with restructured power system, the study is also protracted to a restructured MSMA

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“…At present, it is often used to test the parameters of PID control algorithm [8][9][10] of intelligent car. Due to the lack of the necessary theoretical guidance and lack of experience, we often waste a lot of time in the adjustment process.…”

Section: Figure 1 Runway Loading Modulementioning

confidence: 99%

Design of Experimental Platform for Intelligent Car

Yu¹,

Wang²,

Wang³

et al. 2017

Proceedings of the 2016 7th International Conference on Education, Management, Computer and Medicine (EMCM 2016)

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Abstract. Based on the study of the principle of intelligent car movement, this paper designs the tracking process, the PID adjustment process, the real-time monitoring process, and displays the simulation interface on the intelligent car software platform. So that the simulation results can be used to determine the scope of the actual adjustment results to facilitate the adjustment of the actual debugging process. The simulation experiment is done on the experimental platform, and the rationality of the simulation platform and the effectiveness of the path tracking control algorithm are verified by analyzing the debugging results of the actual intelligent car.

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Design and analysis of hybrid firefly algorithm-pattern search based fuzzy PID controller for LFC of multi area power systems

Cited by 77 publications

References 25 publications

Anti-Windup Load Frequency Controller Design for Multi-Area Power System with Generation Rate Constraint

Anti-Windup Load Frequency Controller Design for Multi-Area Power System with Generation Rate Constraint

Design and analysis of BFOA-optimized fuzzy PI/PID controller for AGC of multi-area traditional/restructured electrical power systems

Design of Experimental Platform for Intelligent Car

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