Evolutionary algorithms in theory and practice: evolution strategies, evolutionary programming, genetic algorithms
Muiltiobjective optimization using nondominated sorting in genetic algorithms
Evolutionary Computation
Implementation of a numerical distance relay for the 110kV electric lines
ICS'09 Proceedings of the 13th WSEAS international conference on Systems
A case study of an analogical distance relay for the 110kV electric power lines
WSEAS TRANSACTIONS on SYSTEMS
An analogical distance relay for the 110kV electric lines
ICS'10 Proceedings of the 14th WSEAS international conference on Systems: part of the 14th WSEAS CSCC multiconference - Volume I
| Hi-index | 0.00 |
Present day power systems are often large or very large systems, with a high degree of interconnectivity. Their analysis can be simplified using network equivalents, which decrease the size of the system by replacing a significant part of it with only a few nodes. The chosen equivalent is the REI equivalent. This paper describes a new approach to the problem of the REI equivalent design optimization, based on the sensitivity of the complex bus voltage from the internal unmodified section of the power system to a set of simulated representative contingencies. The optimal equivalents are determined using artificial intelligence techniques, namely genetic algorithms. The optimum design of the REI equivalent aimed to determine the number of REI buses to be used and the aggregation of external buses into the REI buses. The method was tested on a slightly modified version of the IEEE 57 bus test system. The obtained results prove the efficiency of the proposed method.