#load frequency control

This paper presents how to design proportional integral controller and Fuzzy-PI based controller for efficiently load frequency control. Loads on the electrical system always vary in relation to that time, which results in diversity of frequency, causing frequency control problems to be loaded. The frequency difference is highly undesirable and the maximum allowable difference in frequency is ± 0.5 Hz. This paper load frequency control is done by PI controller, which is a conventional controller. This type of controller is slow and the controller does not allow the designer to keep in mind the potential change in operating conditions and non-linearity in the generator unit. To overcome these flaws, new intelligent controllers like Fuzzy-PI Controller are presented to extinguish tie-line power due to deviation in frequency and various load disturbances. The effectiveness of the proposed controller has been confirmed using the MATLAB SIMULINK software. The results show that the PI-fuzzy controller provides fast response, little undershoots and negligible overshoot with small state transfer time to reach the final stable position. 

The increasing trend in integrating intermittent renewable energy sources into off-grid power system presents major challenges from the viewpoints of reliable operation and control. In this paper, the major problems and challenges in off-grid power system control are discussed, and a review of control strategies and trends is presented. A general overview of the main control is also included. The paper classifies power quality improvement strategies into three levels: primary, secondary, and tertiary, where primary and secondary levels are associated with the operation of the off-grid power system itself, and tertiary level pertains to the coordinated operation of the power system. Each control level is discussed in detail in view of the relevant existing technical literature 

In interconnected power system load frequency control has been used extensively. This study presents an application of a fuzzy gain scheduled proportional and integral (FGPI) controller for load-frequency control of a three-area electrical interconnected power system. The main aim is to design a FGPI controller that can ensure good performance. The paper present analysis on dynamic performance of Load Frequency Control (LFC) of three area interconnected thermal non-reheat power system by the use of Fuzzy Intelligence. The fuzzy rules are developed to ensure there is minimum frequency deviation occur when load is changed. The proposed controller limits the frequency deviations effectively as compared to conventional controller. The results has been verified by using MATLAB/Simulink software.

The increasing trend in integrating intermittent renewable energy sources into off-grid power system presents major challenges from the viewpoints of reliable operation and control. In this paper, the major problems and challenges in off-grid power system control are discussed, and a review of control strategies and trends is presented. A general overview of the main control is also included. The paper classifies power quality improvement strategies into three levels: primary, secondary, and tertiary, where primary and secondary levels are associated with the operation of the off-grid power system itself, and tertiary level pertains to the coordinated operation of the power system. Each control level is discussed in detail in view of the relevant existing technical literature.