Statistical method to improve voltage profile under incomplete distribution system information

Author

Joshi, Vinayak ; Solanki, Jitendra ; Solanki, Sarika Khushalani

Author_Institution

Lane Dept. of Electr. Eng. & Comput. Sci., West Virginia Univ., Morgantown, WV, USA

fYear

2013

fDate

22-24 Sept. 2013

Firstpage

1

Lastpage

5

Abstract

Distribution Management systems are used by electric utilities for analyzing and controlling the distribution systems. Due to lack of data, the model parameters are not accurate so controller often fails to maintain voltage profile in a smart distribution system. In this paper, we propose a statistical method to maintain the voltage profile of the system with renewable generators. This statistical method based on regression is used to design the capacitor control without the need of any knowledge of entire distribution system. The control is tested on an IEEE 34 node distribution system with a solar generator.

Keywords

distributed power generation; distribution networks; power system management; regression analysis; capacitor control; distribution management systems; electric utilities; incomplete distribution system information; model parameters; renewable generators; smart distribution system; statistical method; voltage profile; Capacitors; Educational institutions; Electrical engineering; Generators; Reactive power; Regulators; Voltage control; Capacitor Control; Distribution System; IEEE 34-bus; OpenDSS; PV Unit; STATA;

fLanguage

English

Publisher

ieee

Conference_Titel

North American Power Symposium (NAPS), 2013

Conference_Location

Manhattan, KS

Type

conf

DOI

10.1109/NAPS.2013.6666954

Filename

6666954