Open AccessPreventive control method for overload in power‐gas integrated systems based on dynamic security domain of line
Author(s) -
Ouyang Jinxin,
Yu Jianfeng,
Long Xiaoxuan,
Diao Yanbo
Publication year - 2021
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/rpg2.12375
Subject(s) - power (physics) , reliability engineering , line (geometry) , electric power system , engineering , domain (mathematical analysis) , time domain , computer science , mathematical analysis , physics , geometry , mathematics , quantum mechanics , computer vision
Abstract The power‐gas integrated system (PGIS) is a new trend of energy development. The system provides powerful measures to safely recover the overload line by adjusting the power of synchronous generators (SG), gas turbines (GT), and power‐to‐gas (P2G). However, the power adjustment capability of SGs, GTs, and P2Gs to recover the overload line cannot be accurately described, the impact of line power variation on safety also cannot be quantified, leading to the difficulty of control of overload line. Considering the influence of the locations of SGs, GTs, and P2Gs and power balance constraints, proposing a modeling method of power adjustment capacity of overload line. Considering the dynamic changes of line safety boundary and margin in the process of power adjustment, proposing a new idea of dynamic safety domain for evaluating line safety, a modeling method of dynamic safety domain is further proposed. Moreover, establishing the preventive control optimization model of overload line, the overload preventive control method which considers power adjustment capability of overload line and dynamic security domain is proposed. Finally, the case studies realize the accurate quantification of the dynamic safety of overloaded line, avoiding equipment damage, power supply interruption and even large‐scale cascading failure caused by line overload.