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Optimized 2DOF PID for AGC of Multi-area Power System Using Dragonfly Algorithm

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Applications of Artificial Intelligence Techniques in Engineering

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 698))

Abstract

This paper presents the automatic generation control (AGC) of an interconnected two-area multi-source hydro-thermal power system. The considered system performance is studied and analyzed with proportional-integral (PI), proportional-integral-derivative (PID) and 2 degree of freedom PID(2DOF PID). The gains of the controllers are optimized using dragonfly algorithm (DA). The performance of the DA algorithm is matched with the genetic algorithm (GA) and hybrid firefly and pattern search technique to state its superiority. The comparative results show that 2DOF PID scheme tuned using DA gives better results than the classical controllers.

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Correspondence to Kumaraswamy Simhadri .

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Appendices

Appendix-A [13]

Parameters of Multi-area Hydro-Thermal Power system are:

f = 50 Hz; B1 = B2 = 0.425p.uMW/Hz; R1 = 2.0 Hz/p.u; R2x = 2.4 Hz/p.u; Tg = 0.08 s; Tt= 0.3 s; Kp = 100 Hz/p.u; Tp = 20 s; K1 = 1.0; T1 = 48.7 s; Tw = 1.0 s; T2 = 0.513 s; Tr = 5.0 s; T12 = 0.0707p.u; a12 = −1

Appendix-B [12]

w = 0.3, s = 0.1, a = 0.1, c = 0.7, f = 1, e = 1

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Simhadri, K., Mohanty, B., Mohan Rao, U. (2019). Optimized 2DOF PID for AGC of Multi-area Power System Using Dragonfly Algorithm. In: Malik, H., Srivastava, S., Sood, Y., Ahmad, A. (eds) Applications of Artificial Intelligence Techniques in Engineering. Advances in Intelligent Systems and Computing, vol 698. Springer, Singapore. https://doi.org/10.1007/978-981-13-1819-1_2

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