TY - GEN
T1 - Battery management in V2G-based aggregations
AU - Landi, Marco
AU - Gross, George
PY - 2014/2/10
Y1 - 2014/2/10
N2 - Concerns about climate change and energy costs are key drivers in the growth oí Battery Vehicle (BV) utilization. In the Vehicle-to-Grid (V2G) paradigm, an aggregation of BVs is used for the provision of energy and capacity services, including ancillary services to the grid. Participation in the V2G framework may entail additional charge and discharge of the BV batteries, leading to reduced life. In this paper, we discuss the formulation of an effective strategy for the aggregator, whose role in the effective implementation of the V2G framework is pivotal, to manage the aggregated vehicles, so as to maximize the total lifetimes of all the batteries in the aggregated BVs. The proposed management strategy makes use of both the state of charge (s.o.c.) and the state of health (s.o.h.) as key variables in the allocation of the service request to the BV batteries. Each service request is considered in terms of its impacts on both the individual and the entire BV aggregation battery health, so to allocate the service provision in the configuration that determines the least decrement in battery life. We explicitly assume the aggregator is responsible for the acquisition and maintenance of the batteries of the aggregated BFs and so the maximization of the aggregation battery life is simply the preservation of the value of the aggregator's assets. We illustrate the effectiveness of the approach with simulation results that indicate the success in battery life preservation, with notable improvement over the cases based solely on the use of s.o. c as the key variable.
AB - Concerns about climate change and energy costs are key drivers in the growth oí Battery Vehicle (BV) utilization. In the Vehicle-to-Grid (V2G) paradigm, an aggregation of BVs is used for the provision of energy and capacity services, including ancillary services to the grid. Participation in the V2G framework may entail additional charge and discharge of the BV batteries, leading to reduced life. In this paper, we discuss the formulation of an effective strategy for the aggregator, whose role in the effective implementation of the V2G framework is pivotal, to manage the aggregated vehicles, so as to maximize the total lifetimes of all the batteries in the aggregated BVs. The proposed management strategy makes use of both the state of charge (s.o.c.) and the state of health (s.o.h.) as key variables in the allocation of the service request to the BV batteries. Each service request is considered in terms of its impacts on both the individual and the entire BV aggregation battery health, so to allocate the service provision in the configuration that determines the least decrement in battery life. We explicitly assume the aggregator is responsible for the acquisition and maintenance of the batteries of the aggregated BFs and so the maximization of the aggregation battery life is simply the preservation of the value of the aggregator's assets. We illustrate the effectiveness of the approach with simulation results that indicate the success in battery life preservation, with notable improvement over the cases based solely on the use of s.o. c as the key variable.
KW - V2G aggregator
KW - battery health index
KW - battery life maximization
KW - battery management
KW - battery vehicle aggregations
UR - http://www.scopus.com/inward/record.url?scp=84946693336&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84946693336&partnerID=8YFLogxK
U2 - 10.1109/PSCC.2014.7038109
DO - 10.1109/PSCC.2014.7038109
M3 - Conference contribution
AN - SCOPUS:84946693336
T3 - Proceedings - 2014 Power Systems Computation Conference, PSCC 2014
BT - Proceedings - 2014 Power Systems Computation Conference, PSCC 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 Power Systems Computation Conference, PSCC 2014
Y2 - 18 August 2014 through 22 August 2014
ER -