scholarly journals Load Frequency Control of Interconnected Hydro-Thermal Power System Using Conventional PI and Fuzzy Logic Controller

2013 ◽  
Vol 2 (5) ◽  
pp. 191 ◽  
Author(s):  
Muhammad Ahsan Zamee
Keyword(s):  
Fuzzy Logic ◽  
Power System ◽  
Fuzzy Logic Controller ◽  
Frequency Control ◽  
Thermal Power ◽  
Load Frequency Control ◽  
Load Frequency ◽  
Thermal Power System

scholarly journals A Novel Fuzzy Logic Based Load Frequency Control for Multi-Area Interconnected Power Systems

2021 ◽  
Vol 11 (4) ◽  
pp. 7522-7529
Author(s):  
D. V. Doan ◽  
K. Nguyen ◽  
Q. V. Thai
Keyword(s):  
Fuzzy Logic ◽  
Power Systems ◽  
Power System ◽  
Fuzzy Logic Controller ◽  
Frequency Control ◽  
Thermal Power ◽  
Load Frequency Control ◽  
Interconnected Power System ◽  
Load Frequency ◽  
Interconnected Power Systems

This study focuses on designing an effective intelligent control method to stabilize the net frequency against load variations in multi-control-area interconnected power systems. Conventional controllers (e.g. Integral, PI, and PID) achieve only poor control performance with high overshoots and long settling times. They could be replaced with intelligent regulators that can update controller parameters for better control quality. The control strategy is based on fuzzy logic, which is one of the most effective intelligent strategies and can be a perfect substitute for such conventional controllers when dealing with network frequency stability problems. This paper proposes a kind of fuzzy logic controller based on the PID principle with a 49-rule set suitable to completely solve the problem of load frequency control in a two-area thermal power system. Such a novel PID-like fuzzy logic controller with modified scaling factors can be applied in various practical scenarios of an interconnected power system, namely varying load change conditions, changing system parameters in the range of ±50%, and considering Governor Dead-Band (GDB) along with Generation Rate Constraint (GRC) nonlinearities and time delay. Through the simulation results implemented in Matlab/Simulink software, this study demonstrates the effectiveness and feasibility of the proposed fuzzy logic controller over several counterparts in dealing with the load-frequency control of a practical interconnected power system considering the aforesaid conditions.

scholarly journals STUDI ANALISIS GOVERNOR SEBAGAI LOAD FREQUENCY CONTROL PADA PLTG MENGGUNAKAN FUZZY LOGIC CONTROLLER

2018 ◽  
Vol 17 (1) ◽  
pp. 107
Author(s):  
Gusti Made Ngurah Christy Aryanata ◽  
I Nengah Suweden ◽  
I Made Mataram
Keyword(s):  
Fuzzy Logic ◽  
Power System ◽  
Fuzzy Logic Controller ◽  
Frequency Control ◽  
Pi Controller ◽  
Active Power ◽  
Load Frequency Control ◽  
Electrical Power System ◽  
Load Frequency ◽  
Frequency Changes

A good electrical power system is a system that can serve the load in a sustainable and stable voltage and frequency. Changes in frequency occur due to the demand of loads that change from time to time. The frequency setting of the PLTG power system depends on the active power charge in the system. This active power setting is done by adjusting the magnitude of the generator drive coupling. The frequency setting is done by increasing and decreasing the amount of primary energy (fuel) and carried on the governor. Simulation in governor analysis study as load frequency control at PLTG using fuzzy logic controller is done by giving four types of cultivation that is 0,1 pu, 0,2pu, 0,3 pu and 0,4 pu. The simulation is done to compare the dynamic frequency response output and the resulting stability time using fuzzy logic controller with PI controller. Based on the results of comparative analysis conducted to prove that governor as load frequency control using fuzzy logic control is better than using PI controller. This can be seen from the output response frequency and time stability.

Load frequency control of multi-area interconnected thermal power system: artificial intelligence-based approach

2018 ◽  
Vol 12 (1) ◽  
pp. 126
Author(s):  
Kaliannan Jagatheesan ◽  
Baskaran Anand ◽  
Valentina E. Balas ◽  
Nilanjan Dey ◽  
Amira S. Ashour
Keyword(s):  
Artificial Intelligence ◽  
Power System ◽  
Frequency Control ◽  
Thermal Power ◽  
Load Frequency Control ◽  
Load Frequency ◽  
Thermal Power System

Load frequency control of multi-area interconnected thermal power system: artificial intelligence-based approach

2018 ◽  
Vol 12 (1) ◽  
pp. 126 ◽  
Author(s):  
Kaliannan Jagatheesan ◽  
Baskaran Anand ◽  
Nilanjan Dey ◽  
Amira S. Ashour ◽  
Valentina E. Balas
Keyword(s):  
Artificial Intelligence ◽  
Power System ◽  
Frequency Control ◽  
Thermal Power ◽  
Load Frequency Control ◽  
Load Frequency ◽  
Thermal Power System
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