Assessment of Optimal Size and Location of DG/CB in Distribution Systems using Coulomb–Franklin’s Algorithm
By: Tiwari, Vimal
.
Contributor(s): Dubey, Hari Mohan.
Publisher: New York Springer 2022Edition: Vol, 103(6), Dec.Description: 1885-1908p.Subject(s): Electrical EngineeringOnline resources: Click here
In:
Journal of the institution of engineers (India): Series BSummary: paper, an efficient Coulomb–Franklin’s algorithm (CFA) has been applied for analyzing the best-suited location and the size of the distributed generator (DG) and capacitor bank (CB) units in the radial distribution system (RDS). CFA is a novel metaheuristic approach based on the mathematical model of Franklin and Coulomb's laws. To minimize real power loss, CFA is applied and tested on four standard RDSs, which are IEEE 15, IEEE 33, IEEE 85, and IEEE 118 bus RDS. Through simulation, the optimal size and location of DG and CB units are determined which shows reduction in real power loss and improvement of the voltage profile in all the cases. The comparison of results with other methods shows the efficacy of CFA over the others.
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School of Engineering & Technology Archieval Section | Not for loan | 2022-2344 |
paper, an efficient Coulomb–Franklin’s algorithm (CFA) has been applied for analyzing the best-suited location and the size of the distributed generator (DG) and capacitor bank (CB) units in the radial distribution system (RDS). CFA is a novel metaheuristic approach based on the mathematical model of Franklin and Coulomb's laws. To minimize real power loss, CFA is applied and tested on four standard RDSs, which are IEEE 15, IEEE 33, IEEE 85, and IEEE 118 bus RDS. Through simulation, the optimal size and location of DG and CB units are determined which shows reduction in real power loss and improvement of the voltage profile in all the cases. The comparison of results with other methods shows the efficacy of CFA over the others.
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