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Bacterial Foraging Algorithm for Reliability Performance of Radial Distribution System with DG
| Content Provider | Semantic Scholar |
|---|---|
| Author | Biju, E. R. Anitha, Murugesan |
| Copyright Year | 2013 |
| Abstract | Assessment of customer power supply reliability is an important part of distribution system operation and planning. Distribution system reliability assessment is able to predict the interruption profile of a distribution system based on system topology and component reliability data. In this paper, a methodology has been developed for reliability enhancement of radial distribution system having distributed generation (DG). DG is being adopted in distribution networks with one of the objectives being enhancement of system reliability. By determining the optimum values of failure rates/repair times, reliability of the distribution system has been optimized subjected to constraints on customer and energy based indices i.e. SAIFI, SAIDI, CAIDI, AENS, and ASAI. The objective function includes (i) cost of modification for failure rates/repair times (ii) additional cost of expected energy supplied by DG. A recently developed Bacterial foraging algorithm (BFA) is employed to solve the optimization problem. The proposed algorithm has been implemented on an eight node distribution network. The obtained results are compared with PSO, CAPSO and DE algorithms. |
| Starting Page | 6 |
| Ending Page | 12 |
| Page Count | 7 |
| File Format | PDF HTM / HTML |
| DOI | 10.5120/13855-1694 |
| Volume Number | 80 |
| Alternate Webpage(s) | http://research.ijcaonline.org/volume80/number5/pxc3891694.pdf |
| Alternate Webpage(s) | https://doi.org/10.5120/13855-1694 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |