Abstract
In this work, an attempt has been made to estimate stable and unstable zones of fractional load frequency controllers for two-area systems. The communication delay is also included in the system. A simple and graphical method is implemented to determine the locus of controller parameters. The controlled system is tested in the MATLAB environment by taking the controller parameters from different zones. The stable and unstable zones of fractional controllers are compared. These MATLAB responses indicate the flexibility of the fractional controller.
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References
Elgered OI (1976) Electrical energy systems theory. Tata McGraw-Hill, New York
Kundur P (1994) power system stability and control. Tata McGraw Hill, New York
Sivaramakrishnan AY, Hariharan MV, Srisailam MC (1984) Design of variable structure load frequency controller using pole assignment technique. Int J Control 40(3):487–498
Reddy IK, Nasir AW, Singh AK (2019) Application of FOPID-FOF controller based on IMC theory for automatic generation control of power system. IETE J Res
Fu C, Wang C, Wang LY, Shi D (2020) An alternative method for mitigating impacts of communication delay on load frequency control. Int J Electric Power Energy Syst 119
Singh VP, Kishor N, Samuel P (2015) Communication time delay estimation for load frequency control in two-area power system. Elsevier, Amsterdam, pp 69–85
Tan N, Kaya I, Yeroglu C, Atherton DP (2006) Computation of stabilizing PI and PID controllers using the stability boundary locus. Energy Convers Manage 47:3045–3058
Sönmez S, Ayasun S (2016) Stability region in the parameter space of PI controller for a single-area load frequency control system with time delay. IEEE Trans Power Syst 31(1):829–830
Tan W (2010) Unified tuning of PID load frequency controllers for power systems via IMC. IEEE Trans Power Syst 25(1):341–350
Sahu RK, Panda S, Pradhan PC (2015) Design and analysis of hybrid firefly algorithm-pattern search based fuzzy PID controller for LFC of multi area power systems. Int J Electr Power Energy Syst 69:200–212
Muresan C, Dulf EH, Both R (2015) A novel tuning algorithm for fractional order IMC controllers for time delay processes. Int J Mech Eng Robot Res 4(3):218–221
Cxelik V, Özdemir MT, Bayrak G (2016) The effects on stability region of the fractional-order PI controller for one-area time-delayed load–frequency control systems. Trans Instit Measur Control 1–13
Ruszewski A (2008) Stability regions of closed loop system with time delay inertial plant of fractional order and fractional order PI controller. Bull Polish Acad Sci Tech Sci 56(4)
Bongulwar MR, Patre BM (2017) Stability regions of closed loop systems with one non-integer plus time delay plant by fractional order PID controller. Int J Dynam Control 5:159–167
Çelik V, Özdemir MT, Bayrak G (2017) The effects on the stability region of the fractional-order PI controller for one-area time-delayed load–frequency control systems. Trans Inst Meas Control 39(10):1509–1521
Chen S, Huang H (2019) Design of fractional order proportional integral controller using stability and robustness criteria in time delay system. Measur Control 52(9–10):1552–1566
Kumar R, Kasireddy I, Kumar A, Singh AK (2019) Estimation of stability regions of fractional PI controllers for LFC of power system. In: 2019 IEEE international conference on sustainable energy technologies and systems (ICSETS), Bhubaneswar, India, pp 313–318
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Kasireddy, I., Nasir, A.W., Rahul, Rama Rao, R.V.D. (2021). Stable Zones of Fractional Based Controller for Two-Area System Having Communication Delay. In: Sheth, A., Sinhal, A., Shrivastava, A., Pandey, A.K. (eds) Intelligent Systems. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-16-2248-9_14
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DOI: https://doi.org/10.1007/978-981-16-2248-9_14
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