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Genetic algorithm tuned IP controller for Load Frequency Control of interconnected power systems with HVDC links

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Języki publikacji
EN
Abstrakty
EN
A new design of decentralized Load Frequency Controller for interconnected thermal non-reheat power systems with AC-DC parallel tie-lines based on Genetic Algorithm (GA) tuned Integral and Proportional (IP) controller is proposed in this paper. A HVDC link is connected in parallel with an existing AC tie-line to stabilize the frequency oscillations of the AC tie-line system. Any optimum controller selected for load frequency control of interconnected power systems should not only stabilize the power system but also reduce the system frequency and tie line power oscillations and settling time of the output responses. In practice Load Frequency Control (LFC) systems use simple Proportional Integral (PI) or Integral (I) controller. The controller parameters are usually tuned based on classical or trial-and-error approaches. But they are incapable of obtaining good dynamic performance for various load change scenarios in multi-area power system. For this reason, in this paper GA tuned IP controller is used. A two area interconnected thermal non-reheat power system is considered to demonstrate the validity of the proposed controller. The simulation results show that the proposed controller provides better dynamic responses with minimal frequency and tie-line power deviations, quick settling time and guarantees closed-loop stability margin.
Rocznik
Strony
161--175
Opis fizyczny
Bibliogr. 13 poz., rys., wykr., wz.
Twórcy
  • EEE Department, PSNA College of Engineering and Technology Dindigul, Tamilnadu, India
  • EEE Department, PSNA College of Engineering and Technology Dindigul, Tamilnadu, India
  • EEE Department, PSNA College of Engineering and Technology Dindigul, Tamilnadu, India
Bibliografia
  • [1] Shayeghi H., Shayanfar H.A., Jalili A., Load frequency control strategies: a state of-the-art survey for the researcher. Energy Conversion and Management 50(2): 344-53 (2009).
  • [2] Padiyar K.R.: HVDC power transmission system: Technology and System Interconnections. John Wiley and Sons, New York, (1990).
  • [3] Brecur G.D., Hanth R.L., HVDC’s increasing popularity. IEEE Potentials 7(2): 18-21 (1988).
  • [4] Nasser Jaleeli, Louis S. Vanslcky, Tie line bias prioritized energy control. IEEE Transactions on Power Systems 10(1), (1995).
  • [5] Ganapathy S., Velusami S., MOEA based design of decentralized controllers for LFC of interconnected power systems with nonlinearities, AC-DC parallel tie-lines and SMES units, Energy Conversion and Management 51(5): 873-880 (2010).
  • [6] Kumar P., Ibraheem P., Study of dynamic performance of power systems with asynchronous tie-lines considering parameter uncertainties. Journal of Institution of Engineers (India): Electrical Engineering Division 85: 35-42 (2004).
  • [7] Mathur H.D., Ghosh S., A comprehensive analysis of intelligent controllers for load frequency control. Proc IEEE Power India Conference, New Delhi, pp. 853-867 (2006).
  • [8] Elgerd O.E., Fosha C.E., Optimum megawatt-frequency control of multi area electric energy systems. IEEE Transactions on Power Apparatus Systems 89(2): 556-563 (1970).
  • [9] Chidambaram I.A., Velusami S., Design of decentralized biased controllers load frequency control of interconnected power system. Electric power Components and Systems 33(12): 1313-1331 (2005).
  • [10] Seung-Ki Sul., Control of Electric Machine Drive Systems. John Wiley & Sons, Inc., Hoboken, New Jersey (2010).
  • [11] Ramar K., Velusami S., Design of decentralized load-frequency controllers using pole placement technique. Electric Machines and Power Systems 16(3): 193-207 (1989).
  • [12] Ogatta K., Modern control engineering. New Jersey: Prentice-Hall (1970).
  • [13] Armin Ebrahimi Milani, Babak Mozafari, Genetic Algorithm Based Optimal Load Frequency Control in Two-Area Interconected Power Systems. Proceedings of the Second Global Conference on Power Control and Optimization. AIP Conference Proceedings 1159: 43-48 (2009).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-8b23ad29-206e-45c0-9b4c-51e92dc168a2
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