Real-Time Power Balancing in Electrical Grids with Vehicle-to-Grid Technology

Dr Leung, Ka Cheong   (Principal Investigator (PI))

Professor Low Steven H.   (Co-Investigator)

Professor Li Victor On Kwok   (Co-Investigator)

Emeritus Professor Hill David John   (Co-Investigator)

36

2016-09-01

675647

Real-Time Power Balancing in Electrical Grids with Vehicle-to-Grid Technology

Power Balancing, Regulation, Vehicle-to-Grid (V2G)

Network,Others - Electrical and Electronic Engineering

Engineering (E)

17261416

General Research Fund (GRF)

2016

Completed

1) Design a novel smart vehicle-to-grid aggregator (SVA): We will devise SVA for the provision of real-time power balance by employing V2G while meeting the charging demands of EVs. The architectural design of SVA will be investigated to define the functions, interactions, and protocols of SVAs among EVs and a utility grid operator; 2) Devise a novel unified theory of EV charging/discharging control and grid power balance (EVCB): We will propose EVCB to model and identify a set of optimal mechanisms for coordinating both EV charging/discharging control and grid power balance jointly. The system model for EVCB can be formulated and thus optimal distributed control mechanisms can be found. With the support of solid theoretical analysis, we can gain a better understanding on the validity and feasibility of the control mechanisms for the desired services; 3) Develop a set of distributed protocols for SVA: Based on the findings from the theory of EVCB, we will develop a set of distributed protocols among a set of SVAs, a utility grid operator, and a set of EVs, known as SVA protocols, so as to yield near-optimal real-time grid power balance, via frequency regulation and/or capacity firming for renewables, while meeting the charging demands of EVs. The proposed protocols will help guide the charging/discharging activities of EVs while accommodating the regulation signals, thereby maintaining the reliability and stability of the grid. The performance of these protocols will be evaluated using real data traces, such as those collected from Southern California Edison (SCE) and Pennsylvania-New Jersey-Maryland Interconnection (PJM).