Open AccessRobust unit commitment with characterised solar PV systems
Author(s) -
Veysi Raygani Saeid
Publication year - 2019
Publication title -
iet renewable power generation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.005
H-Index - 76
eISSN - 1752-1424
pISSN - 1752-1416
DOI - 10.1049/iet-rpg.2018.5176
Subject(s) - photovoltaic system , overcast , power system simulation , set (abstract data type) , sky , index (typography) , reliability engineering , computer science , solar energy , simulation , engineering , automotive engineering , meteorology , electric power system , electrical engineering , geography , power (physics) , physics , quantum mechanics , world wide web , programming language
This article addresses a critical issue on the robust unit commitment (RUC), which is the construction of an accurate and reliable uncertainty set for solar photovoltaic (PV) systems. The classic robust unit commitment (CRUC) provides an inaccurate and unreliable model for the highly intermittent solar generations. However, the authors’ proposed uncertainty set utilises the forecast models that rely on the clear‐sky and overcast solar forecasts, which are more accurate and reliable. The uncertainty set for solar generations is constructed based on the type of day, levels of daily uncertainty index (DUI) and daily energy index (DEI), and the uncertainty level of solar ramps. The test results on the IEEE 118‐bus test system demonstrate that (i) using DEI and DUI reliably and efficiently manages and reduces the cost for highly uncertain and overcast day compared to the CRUC and (ii) the RUC cost is much sensitive to the selected level of DUI and DEI than the uncertainty level of the solar ramps.