Receding‐horizon OPF for real‐time management of distribution networks. Issue 9 (14th March 2018)

• Record Type: Journal Article
• Authors: Robertson, James; Harrison, Gareth; Wallace, Robin
• Is Part Of: IET generation, transmission & distribution. Volume 12:Issue 9(2018)
• Page Start: 2124
• Page End: 2131
• Publication Date: 2018-03-14
• Subjects: power system management -- distributed power generation -- power generation scheduling -- power distribution control -- power generation economics -- power generation dispatch; receding‐horizon OPF -- real‐time management -- distribution networks -- real‐time active network management control -- ANM control -- energy yield maximization -- distributed generation -- coordinated scheduling -- renewable DG -- distribution network control assets -- DG curtailment -- energy yield -- economic performance -- optimal power flow -- OPF -- single‐time frame snapshot formulations -- narrow interpretation -- temporal constraint -- control real‐time ANM -- spatially‐variable renewable DG -- temporally‐variable renewable DG -- time sequences -- system dispatch; Electric power production -- Periodicals; Electric power transmission -- Periodicals; Electric power distribution -- Periodicals; 621.3105
• DOI: 10.1049/iet-gtd.2016.1939
• Languages: English
• ISSNs: 1751-8687

Abstract

Abstract : This study presents a new formulation for real‐time active network management (ANM) control of distribution networks to maximise energy yield from distributed generation (DG). Coordinated scheduling of renewable DG and distribution network control assets can limit DG curtailment and significantly increase energy yield and economic performance of DG in weak or congested networks. Optimal power flow (OPF) has been employed in the literature for this purpose. However, single time frame snapshot formulations are limited by their narrow interpretation of temporal constraints. Here a formulation is presented for a new receding‐horizon OPF technique to better control real‐time ANM in distribution networks with high levels of temporally and spatially variable renewable DG. It is shown to improve the coordination between time sequences of system dispatch and improve voltage performance.