Vehicles connected to electric systems are considered “plug-in” vehicles. They can be an integral part of a microgrid. Ground vehicles have become more electrified over time, providing electrical power for the propulsion system (hybrid) and a complex suite of auxiliary power systems, enhancing their use in microgrids. Optimizing the microgrid system for performance and reliability considering many external loads and sources is a challenging problem. This is especially true when the plug-in vehicles may enter and leave the microgrid randomly becoming either sources or loads. The microgrid is a repairable system. Recent work has shown that multiple metrics are needed to fully account for the performance of repairable systems under uncertainty. In this paper, we propose a decision-based framework to design and maintain repairable systems for optimal performance and reliability using a set of metrics such as minimum failure free period (MFFP), number of failures in planning horizon, and cost. Optimal tradeoffs among a minimal set of metrics (MSOM) can be used in the design and maintenance of these systems. The optimal solution includes the initial design, the system maintenance throughout the planning horizon, and the protocol to operate the system. Critical remote military installations with plug-in vehicles connected to the microgrids require careful consideration of cost and repair strategies because of logistical challenges in performing repairs and supplying necessary spare parts in unsafe locations. We show how a MSOM helps to solve the complex optimization problem of finding the best microgrid power management strategy considering performance, reliability, and cost.

References

References
1.
Letendre
,
S.
,
Denholm
,
P.
, and
Lilienthal
,
P.
,
2006
, “
Electric and Hybrid Cars: New Load or New Resource?
,” Public Utilities Frotnightly, http://www.fortnightly.com/pur_search_r.cfm
2.
Malikopoulos
,
A.
,
2013
, “
Impact of Component Sizing in Plug-In Hybrid Electric Vehicles for Energy Resource and Greenhouse Emissions Reduction
,”
ASME J. Energy Resour. Technol.
,
135
(
4
), p.
041201
.10.1115/1.4023334
3.
Skowronska
,
A. G.
,
Gorsich
,
D.
,
Pandey
,
V.
,
Mourelatos
,
Z. P.
,
Mange
,
J.
, and
Dunn
,
A.
,
2013
, “
Global Strategies for Optimizing the Reliability and Performance of a U.S. Army Mobile Power Transfer System
,”
Ground Vehicle Systems Engineering and Technology Symposium (GVSETS)
, Troy, MI.
5.
Kempton
,
W.
, and
Tomic
,
J.
,
2005
, “
Vehicle-to-Grid Power Implementation: From Stabilizing the Grid to Supporting Large-Scale Renewable Energy
,”
J. Power Sources
,
144
(
1
), pp.
280
294
.10.1016/j.jpowsour.2004.12.022
6.
Kempton
,
W.
, and
Tomic
,
J.
,
2005
, “
Vehicle-to-Grid Fundamentals: Calculating Capacity and Net Revenue
,”
J. Power Sources
,
144
(
1
), pp.
268
279
.10.1016/j.jpowsour.2004.12.025
7.
Kempton
,
W.
,
Tomic
,
J.
,
Letendre
,
S.
,
Brooks
,
A.
, and
Lipman
,
T.
,
2005
, “
Vehicle-to-Grid Power: Battery, Hybrid and Fuel Cell Vehicles as Resources for Distributed Electric Power in California, Davis, CA
,” Institute of Transportation Studies, Report No. IUCD-ITS-RR 01-03.
8.
Tomic
,
J.
, and
Kempton
,
W.
,
2007
, “
Using Fleets of Electric-Drive Vehicles for Grid Support
,”
J. Power Sources
,
168
(
2
), pp.
459
468
.10.1016/j.jpowsour.2007.03.010
9.
Williams
,
B. D.
, and
Kurani
,
K. S.
,
2006
, “
Estimating the Early Household Market for Light-Duty Hydrogen-Fuel-Cell Vehicles and Other ‘Mobile Energy’ Innovations in California: A Constraints Analysis
,”
J. Power Sources
,
160
(
1
), pp.
446
453
.10.1016/j.jpowsour.2005.12.097
10.
Williams
,
B. D.
, and
Kurani
,
K. S.
,
2007
, “
Commercializing Light-Duty Plug-In/Plug-Out Hydrogen-Fuel-Cell Vehicles: Mobile Electricity Technologies and Opportunities
,”
J. Power Sources
,
166
(
2
), pp.
549
566
.10.1016/j.jpowsour.2006.12.097
11.
Kempton
,
W.
, and
Kubo
,
T.
,
2000
, “
Electric-Drive Vehicles for Peak Power in Japan
,”
Energy Policy
,
28
(
1
), pp.
9
18
.10.1016/S0301-4215(99)00078-6
12.
Pandey
,
V.
,
Skowronska
,
A. G.
,
Mourelatos
,
Z. P.
,
Gorsich
,
D.
, and
Castanier
,
M.
,
2013
, “
Reliability and Functionality of Repairable Systems Using a Minimal Set of Metrics: Design and Maintenance of a Smart Charging Microgrid
,”
ASME
Paper No. DETC2013-12376.10.1115/DETC2013-12376
13.
Elia
,
S.
,
Gasulla
,
M.
, and
De Francesco
,
A.
,
2012
, “
Optimization in Distributing Wind Generators on Different Places for Energy Demand Tracking
,”
ASME J. Energy Resour. Technol.
,
134
(
4
), p.
041202
.10.1115/1.4007656
14.
Whitefoot
,
J.
,
Mechtenberg
,
A. R.
,
Peters
,
D. L.
, and
Papalambros
,
P. Y.
,
2011
, “
Optimal Component Sizing and Forward-Looking Dispatch of an Electric Microgrid for Energy Storage Planning
,”
ASME
Paper No. DETC2011-48513.10.1115/DETC2011-48513
15.
Haldar
,
A.
, and
Mahadevan
,
S.
,
1999
,
Probability Reliability and Statistical Methods in Engineering Design
,
1st ed.
,
Wiley
,
New York
.
16.
Pandey
,
V.
, and
Mourelatos
,
Z. P.
,
2013
, “
New Metrics to Assess Reliability and Functionality of Repairable Systems
,”
SAE Int. J. Mater. Manuf.
,
6
(
3
), pp.
402
410
.10.4271/2013-01-0606
17.
Kapur
,
K. C.
, and
Lamberson
,
L. R.
,
1977
,
Reliability in Engineering Design
,
1st ed.
,
Wiley
,
New York
.
18.
Rigdon
,
S.
, and
Basu
,
A.
,
2000
,
Statistical Methods for the Reliability of Repairable Systems
,
1st ed.
,
Wiley-Interscience
,
New York
, p.
224
.
19.
Pandey
,
V.
, and
Thurston
,
D.
,
2009
, “
Effective Age of Remanufactured Products: An Entropy Approach
,”
ASME J. Mech. Des.
,
131
(
3
), p.
031008
.10.1115/1.3042146
20.
Crow
,
L. H.
,
1974
,
Reliability Analysis for Complex, Repairable Systems in Reliability and Biometry
,
F.
Proschan
and
R. J.
Serfing
, eds.,
SIAM
,
Philadelphia, PA
, pp.
379
410
.
21.
Crow
,
L. H.
,
2012
, Accessed Apr. 15, 2015, http://www.reliasoft.com/newsletter/v5i1/repairable.htm
22.
Deb
,
K.
,
Pratap
,
A.
,
Agrawal
,
S.
, and
Meyarivan
,
T.
,
2002
, “
A Fast Elitist Non-Dominated Sorting Genetic Algorithm for Multi-Objective Optimization: NSGA-II
,”
IEEE Trans. Evolutionary Comput.
,
6
(
2
), pp.
182
197
.10.1109/4235.996017
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