Title :
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
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;
Conference_Titel :
North American Power Symposium (NAPS), 2013
Conference_Location :
Manhattan, KS
DOI :
10.1109/NAPS.2013.6666954
