Journal of Electrical Engineering and Technology

  • 제4권4호
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  • Pages.443-450
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  • 2009
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  • 1975-0102(pISSN)
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  • 2093-7423(eISSN)
대한전기학회 (The Korean Institute of Electrical Engineers)
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Decentralized Load-Frequency Control of Interconnected Power Systems with SMES Units and Governor Dead Band using Multi-Objective Evolutionary Algorithm

  • Ganapathy, S. (Dept. of Electrical Engineering, Annamalai University) ;
  • Velusami, S. (Dept. of Electrical Engineering, Annamalai University)
  • 발행 : 2009.12.01
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초록

This paper deals with the design of decentralized controller for load-frequency control of interconnected power systems with superconducting magnetic energy storage units and Governor Dead Band Nonlinearity using Multi-Objective Evolutionary Algorithm. The superconducting magnetic energy storage unit exhibits favourable damping effects by suppressing the frequency oscillations as well as stabilizing the inter-area oscillations effectively. The proposed control strategy is mainly based on a compromise between Integral Squared Error and Maximum Stability Margin criteria. Analysis on a two-area interconnected thermal power system reveals that the proposed controller improves the dynamic performance of the system and guarantees good closed-loop stability even in the presence of nonlinearities and with parameter changes.

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참고문헌

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  1. Load Frequency Control of Power Systems with Governor Deadband (GDB) Non-linearity vol.45, pp.12, 2017, https://doi.org/10.1080/15325008.2017.1348404
  2. Introduction of Generator Unit Controller and Its Tuning for Automatic Generation Control in Korean Energy Management System (K-EMS) vol.6, pp.1, 2011, https://doi.org/10.5370/JEET.2011.6.1.042
  3. Sampled-Data Observer-Based Decentralized Fuzzy Control for Nonlinear Large-Scale Systems vol.11, pp.3, 2016, https://doi.org/10.5370/JEET.2016.11.3.724
  4. Load frequency control of power systems with non-linearities vol.11, pp.17, 2017, https://doi.org/10.1049/iet-gtd.2017.0599
  5. Intelligent Digital Redesign for Nonlinear Interconnected Systems using Decentralized Fuzzy Control vol.7, pp.3, 2012, https://doi.org/10.5370/JEET.2012.7.3.420
  6. Two degree of freedom internal model control-PID design for LFC of power systems via logarithmic approximations vol.72, 2018, https://doi.org/10.1016/j.isatra.2017.12.002