Open AccessMicrogrid Control Technology Based on Neural-Like P Systems with State Values
Author(s) -
Bin Liang,
Gye Mo Yang,
Xiaochen Liu,
Yangyang Liu,
Zongling He
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/631/3/032037
Subject(s) - microgrid , automotive engineering , energy storage , battery (electricity) , wind power , electric vehicle , state of charge , turbine , power (physics) , computer science , engineering , electrical engineering , renewable energy , mechanical engineering , physics , quantum mechanics
By utilizing the mobile energy storage characteristics and random dispersion of electric vehicles, it is coordinated with the wind power storage unit to optimize the economic and reliable operation of the system.In this paper, the integrated microgrid of wind, photovoltaic, energy storage and electric vehicle is studied. Under the premise of ensuring the safety and stability of the system, the control goal is to meet the needs of electric vehicles users as much as possible and to maximize the utilization ratio of new energy. The operation control strategies of power battery under disordered charging and orderly charging/discharging are considered respectively. Subsequently, the operation model of wind turbine generation and electric vehicles orderly charging/discharging is established by using the neural-like P system with "state value", and the operation modes of each unit are obtained according to the operation of microgrid. Finally, the effects of disordered charging and orderly charging/discharging of electric vehicles on the safe and stable operation of the microgrid system are compared by simulation experiments.