TITLE:
Load Flow Analysis Framework for Active Distribution Networks Based on Smart Meter Reading System
AUTHORS:
Merkebu Zenebe Degefa, Robert John Millar, Matti Koivisto, Muhammad Humayun, Matti Lehtonen
KEYWORDS:
Active Network; Demand Response; Dynamic Rating; Load Forecast; Load Modeling; Smart Meter; State Estimation
JOURNAL NAME:
Engineering,
Vol.5 No.10A,
September
25,
2013
ABSTRACT:
With the expansion of distributed generation systems and demand response programs, the need to fully utilize distribution
system capacity has increased. In addition, the potential bidirectional flow of
power on distribution networks demands voltage visibility and control at all
voltage levels. Distribution system state estimations, however, have traditionally
been less prioritized due to the lack of enough measurement points while being
the major role player in knowing the real-time system states of active
distribution networks. The advent of smart meters at LV loads, on the other hand,
is giving relief to this shortcoming. This study explores the potential of
bottom up load flow analysis based on customer level Automatic Meter
Reading (AMRs) to compute short time forecasts of demands and distribution network
system states. A state estimation frame-work, which makes use of available AMR
data, is proposed and discussed.