ANCILLARY SERVICE REQUIREMENT BASED AUTOMATIC GENERATION CONTROL ASSESSMENT IN A DEREGULATED POWER SYSTEM WITH HES AND IPFC UNITS

Abstract

This paper intends the evaluation measures for obtaining the Ancillary ServicesRequirement (ASR) indices stand on Automatic Generation Control (AGC) in a deregulated power system.Ancillary services are vital to support the transmission of electric power from vendor to user with the responsibility of control areas and transmitting utilities within those control areas to maintain steadfast operations of the interconnected power system under deregulated environment. In this swot, Proportional Integral Derivative with derivative Filter (PIDF) is projected for the AGC loop of a two-area thermal power system with reheat bicycle mix condensation turbine. The control constraints of the PIDF controller are optimized using the Big Bang Big Crunch (BBBC) algorithm.ASR keys are computed stranded on the dynamic response of the control input deviations and the mechanical power generation deviations of each area for dissimilar nature of possible transactions. These indices designate the ancillary service requirements and are required to improve the competence of the physical operation of the power system with the augmented transmission capacity in the network. An advanced application of Hydrogen Energy Storage (HES), when coordinated with the Interline Power Flow Controller (IPFC) for the development of AGC loop of a two-area thermal power system is also painstaking. Simulation reveals that the proposed PIDF controller tuned with BBBC algorithm perk up the dynamic output response of the test system. Moreover, it can also be pragmatic that the ASR Indices are computed for a two-area thermal power system with HES and IPFC units indicates that the new advanced control for a better restoration of the power system output responses and ensure enhanced ASR indices in order to afford the superior margin of steadiness.

Keywords

• AGC
• ASR indices
• BBBC algorithm
• HES
• IPFC
• PIDF controlle