Demand side management of electric vehicles with uncertainty on arrival and departure times
Uncertainty on arrival and departure times makes the scheduling of plug-in hybrid electric vehicles an intrinsically stochastic optimization problem. To take the stochastic nature of this problem into consideration, a scalable stochastic optimization strategy has been formulated. Generally, stochast...
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| creator | Ruelens, F. Vandael, S. Leterme, W. Claessens, B. J. Hommelberg, M. Holvoet, T. Belmans, R. |
| description | Uncertainty on arrival and departure times makes the scheduling of plug-in hybrid electric vehicles an intrinsically stochastic optimization problem. To take the stochastic nature of this problem into consideration, a scalable stochastic optimization strategy has been formulated. Generally, stochastic programming methods are computationally demanding and become impractical for large-scale problems. This work reduced the dimensionality of the scheduling problem with techniques from approximate dynamic programming. To illustrate the advantage of the stochastic algorithm a deterministic method has been formulated. Compared to the deterministic method, the proposed stochastic method can help an aggregator to reduce its expensive peak charging or avoid penalties for not fully charging the batteries of its clients. |
| doi_str_mv | 10.1109/ISGTEurope.2012.6465695 |
| format | Conference Proceeding |
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To illustrate the advantage of the stochastic algorithm a deterministic method has been formulated. 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J.</creatorcontrib><creatorcontrib>Hommelberg, M.</creatorcontrib><creatorcontrib>Holvoet, T.</creatorcontrib><creatorcontrib>Belmans, R.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Ruelens, F.</au><au>Vandael, S.</au><au>Leterme, W.</au><au>Claessens, B. 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| identifier | ISSN: 2165-4816 |
| ispartof | 2012 3rd IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe), 2012, p.1-8 |
| issn | 2165-4816 2165-4824 |
| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Aerospace electronics approximate dynamic programming Approximation algorithms Approximation methods demand side management Dynamic programming Optimization Processor scheduling stochastic optimization Stochastic processes |
| title | Demand side management of electric vehicles with uncertainty on arrival and departure times |
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