Open AccessSupplementary automatic generation control using controllable energy storage in electric vehicle battery swapping stations
Author(s) -
Xie Pingping,
Li Yinhong,
Zhu Lin,
Shi Dongyuan,
Duan Xianzhong
Publication year - 2016
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.2015.0167
Subject(s) - battery (electricity) , automotive engineering , electric vehicle , energy storage , automatic generation control , computer science , automatic control , control (management) , electrical engineering , engineering , control engineering , electric power system , power (physics) , artificial intelligence , physics , quantum mechanics
One of the significant impacts of the growing penetration of intermittent renewable energy sources is upon the frequency response of power system. Compared with the dispersive electric vehicle energy storage, electric vehicle battery swapping station (BSS), as an emerging form of storage, can provide a more reliable supplementary regulation service for frequency control. This study has proposed a new supplementary automatic generation control (AGC) strategy using controllable energy storage in BSSs, referred to as station‐to‐grid (S2G). A Monte–Carlo stochastic simulation method is utilised to estimate the equivalent controllable capacity (CC) of BSSs, and then the lumped S2G equivalent model subject to SOC limits and CC constrains is presented. A filter‐based AGC coordinated strategy is used to allocate the regulation power between generators and BSSs. The proposed AGC strategy is validated in a two‐area interconnected power system with significant load and wind power fluctuations. Comparison analysis demonstrates the availability of the proposed models and control methods.