LoadFrequency Control Assessment using Restoration Index with Artificial Bee Colony Algorithm for Interconnected Power System with Disturbance Accommodation Controller

Abstract

Based on the concept of Modern Control theory, an optimal robust power system controller for power restoration problem using Disturbance Accommodation theory has been adopted in this paper. This proposed methodology is applied to a TwoArea Two-Unit thermal Reheat Interconnected Power System (TATURIPS) taking into account of Super Conducting Magnetic Energy Storage (SMES) device and Gas Turbine (GT) unit in either area to meet out the system uncertainties due to various disturbances. For Load-Frequency Control (LFC) a decentralized PI controller for each area and a centralized Disturbance Accommodation Controller (DAC) in TATURIPS co-ordinated with SMES and GT units as back-up energy suppliers have been implemented in this proposed methodology. Feasible Restoration Index (FRI) and Complete Restoration Index (CRI) are computed for various disturbances based on settling time of the output response of the system and the control input deviation. The decentralized controller is tuned using the Artificial Bee Colony (ABC) algorithm. With these two Restoration Indices obtained from the Intelligent Controller (IC) as well as DAC, the conditions required to be satisfied in ensuring the restoration of the power system are listed out and with proper implementation will result in high degree of reliability and stability of power supply reducing the frequency deviations to a greater extent and the settling time is also reduced to a minimum time span.

Area Requirement based Load Frequency Controller using Artificial Bee Colony Algorithm for a Two Area Interconnected Power System with GT Unit

“…In particular, this is the case for their dynamic behavior against random load disturbance. Gas Turbine (GT) units with a maximum capacity can be applied not only as a fast energy compensation device for large loads but also to damp out the frequency and tie-line deviations, which makes it a cost-effective system [6][7][8][9]. Moreover GT becomes increasingly popular in different power scenario due to their green house emission as well as higher efficiency especially when connected in a Combined Cycle power plant [6].…”