AGC of a multi sources power system with natural choice of power plants

  • Jitendra Kumar Garg Manav Rachna International University, India
  • Anita Khosla Manav Rachna International University, India
  • Nizamuddin Hakimuddin New Okhla Industrial Development Authority, Noida, Uttar Pardesh, India
DOI: https://doi.org/10.24003/emitter.v7i1.342
Keywords: Multi Sources, AGC, Optimal Controller, Eigenvalues, Dynamic Performance.

Abstract

This paper presents an application of optimal control theory in multi sources power system by considering natural choice of power plants participating in automatic generation control (AGC) scheme. However, for successful operation of large power system, the natural choices of generation suitable for AGC system are hydro and thermal power plants since gas and nuclear power plants are rarely participates in the AGC scheme. Therefore, this work presents design and implementation of proportional integral (PI) structured optimal AGC controller in the presence of hydro and thermal power plants by using state vector feedback control theory. Moreover, various case studies are identified to obtain: (i) Cost aspects of physical realization of optimal AGC controller, (ii) Closed loop system stability margin through patterns of eigenvalues and (iii) System dynamic performance. Further, results have shown that when optimal AGC scheme is implemented in power system, the dynamic performance of power system is outstanding over those obtained with genetic algorithms (GAs) tuned PI structured AGC controller. Besides, with optimal AGC controller, cheaper cost of control structure, increased in system closed loop stability margin and outstanding dynamic performance of power system have been found when lessening in hydro generation is replaced by generation from thermal power plants for various case studies under investigation.

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Published
2019-06-15
How to Cite
Garg, J. K., Khosla, A., & Hakimuddin, N. (2019). AGC of a multi sources power system with natural choice of power plants. EMITTER International Journal of Engineering Technology, 7(1), 105-128. https://doi.org/10.24003/emitter.v7i1.342
Issue
Vol 7 No 1 (2019)
Section
Articles

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