Open AccessOperation risk assessment of active distribution networks considering probabilistic uncertainties of distributed generators‐loads and power management of VRB ESSs
Author(s) -
Lei Jiazhi,
Gong Qingwu,
Gao David Wenzhong,
Wang Baohua,
Guan Xiangyu
Publication year - 2020
Publication title -
iet renewable power generation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.005
H-Index - 76
ISSN - 1752-1424
DOI - 10.1049/iet-rpg.2019.1362
Subject(s) - reliability engineering , probabilistic logic , renewable energy , computer science , ac power , energy storage , distributed generation , electric power system , power (physics) , engineering , electrical engineering , voltage , physics , quantum mechanics , artificial intelligence
This study aims at specifying the operational risk assessment of active distribution networks (ADNs). Correspondingly, an operational risk assessment model based on point estimate method (PEM) considering probabilistic uncertainties of distributed generators‐loads and power management of vanadium redox flow battery (VRB) energy storage systems (ESSs) was proposed. The probabilistic uncertainties of distributed generators and loads growth are mathematically modelled and discretised by PEM. Also, the distributed VRB ESSs are maximally used for the consumption of renewable energy and power supply of loads by the power management of VRB ESSs. The risk assessment indexes of expected energy not supplied and severity index for ADNs are constructed and the 2 m + 1 PEM was used for the calculation. Finally, the case studies verified the effectiveness of PEM as the relative error is less than 1.75% and the excellent advantage on fast calculation. In addition, both the power management of distributed VRB ESSs and the dispersion of DGs or VRB ESSs have a significant influence on the operational risk assessment of ADNs.