Load Frequency Control of a Multi-Area Power System with PV Penetration: Fuzzy Logic Approach in Presence of Time Delay

Frequency control is becoming increasingly critical today due to the growing size and changing structure of complex interconnected power networks. Scaling up economic pressures for efficiency and reliability of the power system has necessitated a requirement for maintaining system frequency, and tie-line power flows as close as possible to scheduled values. High-frequency deviations may degrade load performance, damage equipment, resulting in overloading of transmission lines, which may interfere with system protection schemes, and, finally, may also result in an unstable condition of the power system. More so, Load Frequency Control ( LFC) plays a vital role in the modern power system as an auxiliary service to support power exchanges and, at the same time, to provide better conditions for the trading of electricity. Therefore, the tuning of the dynamic controller (i.e., net frequency and net power interchange errors) is a significant factor in achieving optimum LFC performance. Appropriate tuning of the controller parameters is required in order to achieve excellent control action. In view of this, this paper introduces the dynamic tuning of controller parameters in a two-area multi-source power system with an AC-DC parallel tie line for optimum load-frequency control performance. Matlab/Simulink software is used to realize the system simulation. System dynamic performance is observed for conventional PID tuning by the Ziegler Nichols method and the Kitamori method, fuzzy logic controllers, fuzzy-logic PID controllers, fuzzy PID controllers, and polar-Fuzzy controllers. Furthermore, the frequency and tie-line power response of the interconnected areas were compared based on the setting-time, peak-overshoot, and peak-undershoot. The simulation results show that the responses of the fuzzy-based controllers are faster than those of the classical controllers, resulting in minimized frequency and tie-line power deviations.

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Sliding mode load frequency control for multi-area time-delay power system with wind power integration

IET Generation Transmission & Distribution ◽

10.1049/iet-gtd.2017.0600 ◽

2017 ◽

Vol 11 (18) ◽

pp. 4644-4653 ◽

Cited By ~ 29

Author(s):

Yang Mi ◽

Xuezhi Hao ◽

Yongjuan Liu ◽

Yang Fu ◽

Chengshan Wang ◽

...

Keyword(s):

Time Delay ◽

Power System ◽

Wind Power ◽

Sliding Mode ◽

Frequency Control ◽

Load Frequency Control ◽

Wind Power Integration ◽

Load Frequency

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

Majalah Ilmiah Teknologi Elektro ◽

10.24843/mite.2018.v17i01.p15 ◽

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.

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