International Journal of Fuzzy Logic and Intelligent Systems

  • 제13권3호
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  • Pages.171-177
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  • 2013
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  • 1598-2645(pISSN)
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  • 2093-744X(eISSN)
한국지능시스템학회 (Korean Institute of Intelligent Systems)
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Fuzzy-Enforced Complementarity Constraints in Nonlinear Interior Point Method-Based Optimization

  • Song, Hwachang (Department of Electrical and Information Engineering, Seoul National University of Science & Technology)
  • 투고 : 2013.05.31
  • 심사 : 2013.09.13
  • 발행 : 2013.09.25
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초록

This paper presents a fuzzy set method to enforce complementarity constraints (CCs) in a nonlinear interior point method (NIPM)-based optimization. NIPM is a Newton-type approach to nonlinear programming problems, but it adopts log-barrier functions to deal with the obstacle of managing inequality constraints. The fuzzy-enforcement method has been implemented for CCs, which can be incorporated in optimization problems for real-world applications. In this paper, numerical simulations that apply this method to power system optimal power flow problems are included.

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참고문헌

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피인용 문헌

  1. Determining Countermeasures against Fault Currents Using a Decomposition Method Based on Fuzzy Fault Level Constrained Optimal Power Flow vol.9, pp.2, 2019, https://doi.org/10.3390/app9020274