Open AccessEvent‐triggered consensus approach for distributed battery energy storage systems
Author(s) -
Yu Mei,
Song Chao,
Lv Fangchao,
Jin Kaiqi,
Tan Wen
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.2018.6405
Subject(s) - computer science , battery (electricity) , event (particle physics) , energy storage , distributed generation , distributed computing , distributed data store , engineering , electrical engineering , renewable energy , power (physics) , physics , quantum mechanics
Owing to the intermittency of the renewable generation and constantly changing load demand, the battery energy storage systems (BESSs) have become a required solution to future power systems. In this study, the BESS is modelled as an agent. The authors propose an event‐trigger finite‐time consensus approach to maintain the supply–demand balance and minimise the total power loss associated with charging/discharging inefficiency. The proposed consensus algorithm can guarantee all BESSs to converge to an optimal operation point in finite‐time. A situation where the charging power of each individual BESS has a constraint is considered. Furthermore, event‐triggered feedback is considered to reduce the frequency of agents’ communicating with their neighbours. The communication bandwidth and energy can be saved corresponding to the goal of economic requirement. Finally, some simulation cases are further presented to illustrate the effectiveness of the scheme.