Title: Corrective load shedding using fuzzy decision tree approach for real time voltage security enhancement of power system
Authors: Sanjiv Kumar Jain; N.P. Patidar; Yogendra Kumar
Addresses: Electrical Engineering Department, Medi-Caps University, Indore, India ' Electrical Engineering Department, Maulana Azad National Institute of Technology, Bhopal, India ' Electrical Engineering Department, Maulana Azad National Institute of Technology, Bhopal, India
Abstract: The paper proposes a novel algorithm for optimal load shedding using fuzzy decision tree. In non-correctable emergency, the remedy is load shedding. The presented algorithm is computationally efficient and can be utilised for online voltage security enhancement. It is based on fuzzy decision tree. Due to the feature selection approach of decision trees the method is fast enough for online load shedding of power system. The scheme is based on the notion of the static voltage stability margin. The work presents the load shedding approach for all credible line outages. The result shows the fast and accurate conversion of 'insecure' cases to 'secure' cases for a credible contingency condition. The initial database is prepared by wide variations of loading conditions at all the load buses using traditional approach of continuation power flow method. The effectiveness of the proposed algorithm of load shedding is tested using IEEE-30 bus system.
Keywords: continuation power flow; CPF; credible contingencies; fuzzy decision tree; FDT; optimal load shedding; power system security; voltage collapse.
International Journal of Renewable Energy Technology, 2018 Vol.9 No.3, pp.273 - 290
Received: 14 Jul 2017
Accepted: 01 Aug 2017
Published online: 04 Jul 2018 *