@article{(Open Science Index):https://publications.waset.org/pdf/3453,
	  title     = {Efficient Dimensionality Reduction of Directional Overcurrent Relays Optimal Coordination Problem},
	  author    = {Fouad Salha  and  X. Guillaud},
	  country	= {},
	  institution	= {},
	  abstract     = {Directional over current relays (DOCR) are commonly used in power system protection as a primary protection in distribution and sub-transmission electrical systems and as a secondary protection in transmission systems. Coordination of protective relays is necessary to obtain selective tripping. In this paper, an approach for efficiency reduction of DOCRs nonlinear optimum coordination (OC) is proposed. This was achieved by modifying the objective function and relaxing several constraints depending on the four constraints classification, non-valid, redundant, pre-obtained and valid constraints. According to this classification, the far end fault effect on the objective function and constraints, and in consequently on relay operating time, was studied. The study was carried out, firstly by taking into account the near-end and far-end faults in DOCRs coordination problem formulation; and then faults very close to the primary relays (nearend faults). The optimal coordination (OC) was achieved by simultaneously optimizing all variables (TDS and Ip) in nonlinear environment by using of Genetic algorithm nonlinear programming techniques. The results application of the above two approaches on 6-bus and 26-bus system verify that the far-end faults consideration on OC problem formulation don-t lose the optimality.
},
	    journal   = {International Journal of Electrical and Computer Engineering},
	  volume    = {3},
	  number    = {10},
	  year      = {2009},
	  pages     = {1868 - 1874},
	  ee        = {https://publications.waset.org/pdf/3453},
	  url   	= {https://publications.waset.org/vol/34},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 34, 2009},
	}