Evaluation of Power System ASR Indices for IDN-FOPD Controller based Automatic Generation Control of a Two-Area Thermal Restructured Power System
B. Baskar1, B. Paramasivam2
1B. Baskar, Lecturer, Department of EEE, Government Polytechnic College, Sankarapuram, Tamilnadu, India.
2B. Paramasivam, Assistant Professor, Department of EEE, Government College of Engineering, Bodinayakkanur, Tamilnadu, India.
Manuscript received on November 20, 2019. | Revised Manuscript received on November 28, 2019. | Manuscript published on 30 November, 2019. | PP: 7117-7121 | Volume-8 Issue-4, November 2019. | Retrieval Number: D5246118419/2019©BEIESP | DOI: 10.35940/ijrte.D5246.118419
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper presents the evaluation measures for achieving the power system Ancillary Services Requirement (ASR) indices subject to the AGC assessment of a 2 area thermal restructured system. A novel Iintegral Derivative along with Fractional Order Proportional Derivative (IDN-FOPD) controller is proposed to design AGC loop. The parameters of IDN-FOPD are tuned utilizing the Big Bang Big Crunch algorithm. An extensive comparative analysis been carried out with Proportional-Integral (PI) and Fractional Order Proportional-Integral-Derivative (FOPID) controller. Power system ASR indices are computed based on the dynamic response of the control input deviations and mechanical power generation deviations. Results arrived depicts that BBBC tuned IDN-FOPD controller improves the output retort of the test system.
Keywords: Ancillary Services Requirement Indices, AGC, Big Bang Big Crunch algorithm, IDN-FOPD controller.
Scope of the Article: Requirements Engineering.