Abstract
There is a need for the optimal positioning of protective devices to maximize customers satisfaction per their demands. Such arrangement advances the distribution system reliability to maximum achievable. Thus, radial distribution system (RDS) reliability can be improved by placing reclosers at suitable feeder sections. This article presents comprehensive details of an attempt to determine the reclosers’ optimal location in an RDS to maximize the utility profit by reliability improvement. Assessment of different reliability indices such as SAIDI, SAIFI, CAIFI, CAIDI, etc., with recloser placement, exhibits a considerable improvement in these indices in contrast with the absence of recloser. Consequently, a new bidirectional formulation has been proposed for the optimized arrangement of reclosers’. This formulation efficiently handles the bidirectional power flow, resulting from distributed generation (DG) unit (s) in the system. The proposed model has been solved for a test system by utilizing the Genetic algorithm (GA) optimization method. Later, test results conclude that reclosers’ optimal placement contributes significantly towards utility profit with minimum investment and outage costs.
Highlights
Electrical energy is a significant attribute in measuring the development index of a nation
The effect on the reliability of an radial distribution system (RDS) is analyzed by manual as well as the optimal placements of reclosers
Using the Genetic algorithm (GA) optimization technique, this problem has been solved for a 69-bus RDS
Summary
Electrical energy is a significant attribute in measuring the development index of a nation. A new algorithm has been proposed in [17] that enhances the reliability attribute of an RDS by utilizing the concept of the best arrangement of protective devices. In [18], a new approach considering the optimal placement of remote control switches in a DG-enhanced RDS has been suggested, which considers reliability, equipment cost, and DG unavailability. In [21], a general novel concept is presented for the best positioning of switching equipments in an RDS This formulation cannot handle the bidirectional power flow as it is applicable for the systems without DG units. The selected individuals are modified to produce a new generation This iterative process is continued until the optimum solution is achieved for the population. The individual count in the population is signified by the number of rows in the binary matrix, while the count of its column represents the individual decision length
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