The IUP Journal of Electrical and Electronics Engineering
Jaya Algorithm-Based Optimized Automatic Generation Control Scheme for Interconnected Solar-Thermal Power System

Article Details
Pub. Date : Jan, 2020
Product Name : The IUP Journal of Electrical and Electronics Engineering
Product Type : Article
Product Code : IJEEE30120
Author Name : S Bhongade, Vishnu Prasad Parmar
Availability : YES
Subject/Domain : Engineering
Download Format : PDF Format
No. of Pages : 13

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Abstract

The target of the programmed age control (Automatic Generation Control, AGC) is to direct the yield intensity of the electrical generator within an endorsed territory because of the deviation in recurrence and tie-line control. The paper presents AGC of two regions' traditional framework with sun-oriented warm power plant in one of the territories. A novel optimization, i.e., Jaya algorithm, is used for AGC control of power framework with or without solar energy. Jaya algorithm is fast convergent for controller gain of the Proportional-Integral-Derivative (PID) controller. The performances of Integral (I), Proportional-Integral (PI) and PID controller with Solar Thermal Power Plant (STPP) are evaluated. The results reveal that the PID controller provides better results than I and PI. The Jaya optimized PID with STPP gives better dynamic performance such as settling time, overshoots and undershoots as compared to the thermal power system.


Description

Megawatt recurrence control or Automatic Generation Control (AGC) issues are that of abrupt burden unsettling influence which ceaselessly bothers the activity of the power framework (Elgerd and Fosha, 1970; and Fosha and Elgerd, 1970). An interconnected power framework ought to produce, transport and disseminate the electric vitality at indicated framework recurrence. In any case, framework recurrence mostly relies on the harmony between produced real power and the true power that is devoured. The target of AGC is to keep up framework recurrence exceptionally near an ostensible incentive to keep propagation of another part at the highest efficient worth and to persevere through the right estimation of the line control among divergent control regions. For controlling the proposed system PID controller, many types of research in the part of Load Frequency Control (LFC) trouble of hybrid electric energy systems have been done over the past 60 years and maximum of them based on conventional generation system (Abido, 2003; Nanda et al., 2006; Panda et al., 2009; and Chandra et al., 2011), and no consideration has been made for an incorporated framework having renewable energy sources. The effect of fossil fuel on the surrounding, particularly global warming and the noxious issue of carbon emission issues and speedily decreasing nonrenewable sources have created new demand to notice more or less extra energy sources so that continuously growing need for energy can be met. Wind, ocean, biomass, sun-based, geothermal energies are supportable vitality sources. From all renewable energy sources, sun and wind have large energy to make a substantial contribution and therefore they can be huge energy sources for the future. Further, these nonconventional energy sources have a limitation that its installation cost is higher and in general effectiveness of the system is lower. So the integration of renewable sources with the conventional source is a better option. The fundamental ideas of modeling and a combination of nonconventional resources with electric energy systems have been available in literature (Asano et al., 1996).


Keywords

Automatic Generation Control (AGC), Solar Thermal Power Plant (STPP), Area Control Error (ACE), Integral Square Error (ISE), Proportional-Integral- Derivative (PID), Jaya algorithm, Controller gain, Settling time, Undershoot, Overshoot

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