nach oben

Erschienen in:

2016 | OriginalPaper | Buchkapitel

DE Optimized PID Controller with Derivative Filter for AGC of Interconnected Restructured Power System

verfasst von : Tulasichandra Sekhar Gorripotu, Rabindra Kumar Sahu, Sidhartha Panda

Erschienen in: Computational Intelligence in Data Mining—Volume 2

Verlag: Springer India

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

This present paper focuses on the design of proportional-derivative-integral controller with derivative filter (PIDF) for automatic generation control problem. A two-area, six-unit reheat thermal-hydro restructured power system is considered with nonlinearities such as time delay (TD) and generation rate constraint (GRC). The gain parameters PIDF controllers are optimized by using differential evolution (DE) algorithm employed with integral of time multiplied absolute error (ITAE) as an objective function. The performance of proposed controller is investigated under all the possible scenarios that take place in a restructured power market. From simulation results reveals that DE optimized PIDF controller minimizes the errors effectively.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Vorheriges Kapitel Performance Analysis of Selected Data Mining Algorithms on Social Network Data and Discovery of User Latent Behavior

Nächstes Kapitel Opposition-Based GA Learning of Artificial Neural Networks for Financial Time Series Forecasting

Nur mit Berechtigung zugänglich

Elgerd, O.I.: Electric Energy Systems Theory–An Introduction. Tata McGraw Hill, New Delhi (2000)

Chidambaram, I.A., Paramasivam, B.: Optimized load-frequency simulation in restructured power system with redox flow batteries and interline power flow controller. Int. J. Electr. Power Energy Syst. 50, 9–24 (2013)

Sahu, R.K., Panda, S., Rout, U.K.: DE optimized parallel 2-DOF PID controller for load frequency control of power system with governor dead-band nonlinearity. Int. J. Electr. Power Energy Syst. 49, 19–33 (2013)

Donde, V., Pai, M.A., Hiskens, I.A.: Simulation and optimization in an AGC system after deregulation. IEEE Trans. Power Syst. 16, 481–489 (2011)

Deepak, M., Abraham, R.J.: Load following in a deregulated power system with thyristor controlled series compensator. Int. J. Electr. Power Energy Syst. 65, 136–145 (2015)

Parmar, K.P.S., Majhi, S., Kothari, D.P.: LFC of an interconnected power system with multi-source power generation in deregulated power environment. Int. J. Electr. Power Energy Syst. 57, 277–286 (2014)

Sahu, R.K., Chandra Sekhar, G.T., Panda, S.: DE optimized fuzzy PID controller with derivative filter for LFC of multi source power system in deregulated environment. Ain Shams Eng. J. 6, 511–530 (2015)

Chandra Sekhar, G.T., Sahu, R.K., Panda, S.: AGC of a multi-area power system under deregulated environment using redox flow batteries and interline power flow controller. Eng. Sci. Technol. Int. J. 18, 555–578 (2015)

Gorripotu, T.C.S., Sahu, R.K., Panda, S.: Application of firefly algorithm for AGC under deregulated power system. Comput. Intell. Data Mining 1, Smart Innovation Syst. Technol. 31, 677–687 (2015)

10.

Chandra Sekhar, G.T., Sahu, R.K., Baliarsingh, A.K., Panda, S.: Load frequency control of power system under deregulated environment using optimal firefly algorithm. Int. J. Electr. Power Energy Syst. 74, 195–211 (2016)

11.

Sahu, R.K., Gorripotu, T.C.S., Panda, S.: A hybrid DE–PS algorithm for load frequency control under deregulated power system with UPFC and RFB. Ain Shams Eng. J. 6, 893–911 (2015)

12.

Sahu, R.K., Panda, S., Padhan, S.: A hybrid firefly algorithm and pattern search technique for automatic generation control of multi area power systems. Int. J. Electr. Power Energy Syst. 64, 9–23 (2015)

13.

Panda, S., Yegireddy, N.K.: Automatic generation control of multi-area power system using multi-objective non-dominated sorting genetic algorithm-II. Int. J. Electr. Power Energy Syst. 53, 54–63 (2013)

14.

Sahu, R.K., Panda, S., Chandra Sekhar, G.T.: A novel hybrid PSO-PS optimized fuzzy PI controller for AGC in multi area interconnected power systems. Int. J. Electr. Power Energy Syst. 64, 880–893 (2015)

15.

Sahu, R.K, Panda, S., Yegireddy, N.K.: A novel hybrid DEPS optimized fuzzy PI/PID controller for load frequency control of multi-area interconnected power systems. J. Process Control 24,1596–1608 (2014)

16.

Stron, R., Prince, K.: Differential evolution—a simple and efficient adaptive scheme for global optimization over continuous spaces. J Global Optim. 11, 341–359 (1995)

Titel: DE Optimized PID Controller with Derivative Filter for AGC of Interconnected Restructured Power System
verfasst von: Tulasichandra Sekhar Gorripotu
Rabindra Kumar Sahu
Sidhartha Panda
Verlag: Springer India
Buch: Computational Intelligence in Data Mining—Volume 2
Print ISBN: 978-81-322-2729-8

Electronic ISBN: 978-81-322-2731-1

Copyright-Jahr: 2016
DOI: https://doi.org/10.1007/978-81-322-2731-1_37

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"