Distribution Network Performance Management for emerging load in Urban Area Case Study of Balaju Distribution Center
Date
2022-03
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Pulchowk Campus
Abstract
The study focuses on the technical performance analysis of a typical distribution network at a
rapidly urbanizing area under the current scenario, future scenario, and distribution network
optimization. The Control area in this research is Tarkeshwor Municipality, Nepal, which lies
in the outer stretch of Kathmandu, representing the urbanizing loads. In this research, the
electric cooking load has been added to the forecasted load up to ten years from now,
representing emerging technology as well load that adds to peak load in the daily load curve
of the control area. The placement of reactive power suppliers as distributed generation in
various distribution network branches is done in this research as an optimization tool that
exhibits improved power quality and reliability with the forecasted load. The peak load along
with baseload was found to be increased to 21.94 MVA at the end of the tenth year, including
targetted electric cooking load. This increment of load at the feeder increases the loss
significantly, and the voltage profile is also out of the limits, which are improved by the
optimal placement of distributed generation on optimal buses. Similarly the financial
contributions to be made by the utility to manage the forecasted load along with the investment
to be made for electric cooking load has been analyzed. It is believed that the analysis and
discussion in this research will be helpful to the policymakers as well as the electric utility for
planning the supply and utilization pattern of electricity in the future
Description
The study focuses on the technical performance analysis of a typical distribution network at a
rapidly urbanizing area under the current scenario, future scenario, and distribution network
optimization.
Keywords
Tarkeshwor Municipality,, Forecasted Load
Citation
MASTERS IN RENEWABLE ENERGY ENGINEERING