Reliability Compliant Distribution System Planning Using Monte Carlo Simulation

被引：4

作者：

Battu, Neelakanteshwar Rao ^{[1
]}

Abhyankar, Abhijit R. ^{[1
]}

Senroy, Nilanjan ^{[1
]}

机构：

[1] Indian Inst Technol Delhi, Dept Elect Engn, New Delhi, India

来源：

ELECTRIC POWER COMPONENTS AND SYSTEMS | 2019年 / 47卷 / 11-12期

关键词：

distribution system planning; reliability; distributed generator; Monte Carlo simulation; cost minimization; energy not supplied; priority loads; electricity market price; genetic algorithm; system upgradation; GENERATION; MODEL; WIND;

D O I：

10.1080/15325008.2019.1659454

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：985 / 997

页数：13

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