Abstract
Distribution system is the means of revenue for electric utility. It needs to be restored at the earliest if any feeder or complete system is tripped out due to fault or any other cause. Further, uncertainty of the loads, result in variations in the distribution network’s parameters. Thus, an intelligent algorithm incorporating hybrid fuzzy-grey relation, which can take into account the uncertainties and compare the sequences is discussed to analyse and restore the distribution system. The simulation studies are carried out to show the utility of the method by ranking the restoration plans for a typical distribution system. This algorithm also meets the smart grid requirements in terms of an automated restoration plan for the partial/full blackout of network.
Highlights
India’s blackout as two separate events on 30th and 31st July 2012, has forced the system design engineers to plan the restoration schemes which are more effective and efficient and takes into account the uncertainties involved in the transmission distribution network
Mean of difference of new and old grey regression grades (GRG) is calculated, which comes out to be 0.1092. This means that the system performance has increased by 1.09 % with new GRG
The restoration plans are ranked according to the new GRG values
Summary
India’s blackout as two separate events on 30th and 31st July 2012, has forced the system design engineers to plan the restoration schemes which are more effective and efficient and takes into account the uncertainties involved in the transmission distribution network. Problem definition The objective of present study is to minimize the number of switching operations for restoration of power supply to all consumer’s load and meeting the distribution system network constraints: 1. ILATi and IRLATi represents the load current and rated load current of lateral respectively This objective function is used to determine the degree of unbalanced loading of laterals, less value of λ5 (s) is preferred. Its maximum loading capacity and unbalanced loading index after the isolation of the fault needs to be computed and checked These shall be as minimum as possible. In the above equation ITRSi and IRTRSi represents the load current and rated load current of transformer respectively This gives the degree of unbalance loading of transformer for the backup and the value of this function should be minimum.
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