Reliability Study of a Smart Distribution System with Optimal Sizing and Placement of Capacitors

被引：0

作者：

Salinas-Herrera, Fernando ^{[1
]}

Jayaweera, Dilan ^{[1
]}

Alvarez-Alvarado, Manuel S. ^{[1
]}

Riofrio, Xavier ^{[2
]}

机构：

[1] Univ Birmingham, Dept Elect Elect & Syst Engn, Birmingham, W Midlands, England

[2] Univ Cuenca, Sch Comp Sci, Cuenca, Ecuador

来源：

2021 IEEE PES INNOVATIVE SMART GRID TECHNOLOGIES - ASIA (ISGT ASIA) | 2021年

关键词：

capacitor; Particle Swarm Optimisation; power losses; reliability assessment; sequential Monte Carlo simulation; smart distribution system; smart grids; LOSS REDUCTION; SIMULATION; LOCATION; INDEXES;

D O I：

10.1109/ISGTASIA49270.2021.9715699

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：

This work introduces a new modified IEEE 33-node test system to be smart by implementing distributed renewable generation, smart metering load characteristics, and optimal installation of capacitors. The Particle Swarm Optimisation (PSO) technique is adopted to compute the optimal sizing and placement of capacitor in the original network. Then, to assess the reliability of the original and modified test systems, a sequential Monte Carlo simulation takes place. The relevant contribution of this paper is that it offers a comprehensive approach of a reliability assessment in a distribution system, where several smart features have been implemented. In addition, the modified system opens a pathway for future research in which smart distribution system analysis is required related mainly to reliability assessment.

引用

页数：6

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