Open AccessDistribution grid response monitor
Author(s) -
Gao Ziran,
Mao Daijiafan,
Wang Jiankang
Publication year - 2019
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2019.0683
Subject(s) - grid , computer science , reliability engineering , distribution grid , power grid , reliability (semiconductor) , electric power system , range (aeronautics) , depreciation (economics) , plug in , automotive engineering , power (physics) , simulation , electrical engineering , engineering , mathematics , physics , geometry , quantum mechanics , aerospace engineering , financial capital , economic growth , economics , capital formation , programming language , human capital
The fast‐growing penetration of plug‐in electric vehicles (PEV) will become a primary challenge to the reliability of the power distribution grid (below 69 kV). The impulsive charging characteristics of PEV could accelerate grid assets’ depreciation and deteriorate power quality by instantaneously drawing massive power. This study introduces a software prototype, distribution grid response monitor (DGROM), which allows for assessment of PEV's dynamic impact on the distribution power system and predicts the range of the charging impact on asset depreciation. Distinct from related studies, DGROM allows for customised inputs (e.g. driving habits, charging stations, and PEV types) in PEV's impact analysis and visualises the results. Furthermore, by deploying an optimistic mitigation algorithm, DGROM forecasts the upper and lower bound of the distribution system response under PEV penetration. The authors describe the mathematical model and analysis methods of DGROM and demonstrate its validity on the distribution networks located in Oakland, Ohio.