Reliability Compliant Distribution System Planning Using Monte Carlo Simulation. Issue 11 (21st July 2019)

• Record Type: Journal Article
• Authors: Battu, Neelakanteshwar Rao; Abhyankar, Abhijit R.; Senroy, Nilanjan
• Is Part Of: Electric power components and systems. Volume 47:Issue 11/12(2019)
• Page Start: 985
• Page End: 997
• Publication Date: 2019-07-21
• Subjects: distribution system planning -- reliability -- distributed generator -- Monte Carlo simulation -- cost minimization -- energy not supplied -- priority loads -- electricity market price -- genetic algorithm -- system upgradation; Electric machinery -- Periodicals; 621.3104205
• DOI: 10.1080/15325008.2019.1659454
• Languages: English
• ISSNs: 1532-5008

Abstract

Abstract: Distribution system planning is imperative to meet the load growth and to enhance reliability of the system. Power supply interruption causes inconvenience to the customer. Some customers may even lose the opportunity cost due to unreliable power supply. This enforces to consider reliability aspects during distribution system planning. This paper proposes reliability compliant distribution system planning using genetic algorithm embedded Monte Carlo simulation. The proposed approach is applied to 15-bus and 33-bus radial distribution systems to find the optimal location and size of DG, and distribution system upgradation needed to meet the load growth and to enhance reliability of the system.