scholarly journals Frequency Control in Dispersed Power System Using Partially Decentralized Combined Fuzzy-PID (PD-CFPID) Regulator

2021 ◽  
Vol 13 (3) ◽  
pp. 734-754
Author(s):  
Pabitra Mohan Dash ◽  
◽  
Sangram Keshori Mohapatra ◽  
Asini Kumar Baliarsingh ◽  
◽  
...  
Keyword(s):  
Power System ◽  
Frequency Control ◽  
Fuzzy Pid

A novel hybrid LUS–TLBO optimized fuzzy-PID controller for load frequency control of multi-source power system

2016 ◽  
Vol 74 ◽  
pp. 58-69 ◽  
Author(s):  
Binod Kumar Sahu ◽  
Tridipta Kumar Pati ◽  
Jyoti Ranjan Nayak ◽  
Sidhatrha Panda ◽  
Sanjeeb Kumar Kar
Keyword(s):  
Power System ◽  
Pid Controller ◽  
Frequency Control ◽  
Load Frequency Control ◽  
Fuzzy Pid ◽  
Source Power ◽  
Fuzzy Pid Controller ◽  
Load Frequency

Effect of TCPS, SMES, and DFIG on load frequency control of a multi-area multi-source power system using multi-verse optimized fuzzy-PID controller with derivative filter

2017 ◽  
Vol 24 (24) ◽  
pp. 5922-5937 ◽  
Author(s):  
Amit Kumar ◽  
Sathans Suhag
Keyword(s):  
Power System ◽  
Frequency Control ◽  
Load Frequency Control ◽  
Fuzzy Pid ◽  
Source Power ◽  
Proportional Integral ◽  
Control Scheme ◽  
Integral Controller ◽  
Derivative Filter ◽  
Ant Lion

In this paper, a novel multi-verse optimized fuzzy-PID (proportional–integral–derivative) controller with derivative filter (fuzzy-PIDF) is proposed for load frequency control of a two-area multi-source power system, with each area consisting of a reheat thermal and a hydro unit. The superiority of the Multi-Verse Optimizer algorithm is demonstrated against some recently published modern heuristic optimization techniques. For comparative analysis of the proposed control scheme, the conventional integral, proportional–integral, and PIDF controllers are also implemented. The effect of the thyristor-controlled phase shifter, superconducting magnetic energy storage, and doubly fed induction generators, considered individually and in various combinations, is investigated. Further, with an integral controller optimized using Multi-Verse Optimizer, the value of the integral of time multiplied absolute error, one of the performance indicators, is reduced by 85.61%, 83.91%, 70.42%, 67.69%, and 73.15% compared with optimization of the integral controller using Ant Lion Optimizer, Grey Wolf Optimizer, Differential Evolution, Bacterial Foraging, and Particle Swarm Optimization, respectively. Also, to quote a representative case, with Multi-Verse Optimizer, the settling times in respect of frequency deviations of area-1, area-2, and tie-line power are improved by 94.36%, 98.28%, and 95.44%, respectively, as compared with the results obtained using Ant Lion Optimizer. Further, robustness of the proposed control scheme is also investigated against variation of system parameters within ±10% besides random step load disturbances. Of all the controllers implemented here, the proposed optimized fuzzy-PIDF controller exhibits the best performance. Modeling and simulations were carried out using MATLAB/Simulink.

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