P. A. Pegoraro, J. Tang, J. Liu, F. Ponci, A. Monti and C. Muscas, “PMU and Smart Metering Deployment for State Estimation in Active Distribution Grids,” 2nd IEEE ENERGYCON Conference & Exhibition, Florence, 9-12 September 2012, pp. 873-878.

has been cited by the following article:

• 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.