Efficient design selection in microgrid simulations

Mehrad Bastani, Aristotelis E. Thanos, Nurcin Celik, Chun Hung Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Microgrids (MGs) offer new technologies for semiautonomous grouping of alternative energy loads fed into a power grid in a coordinated manner. Simulations of these microgrids are time critical yet computationally demanding, inherently complex, and dynamic, especially when they are constructed for control purposes. In this paper, we address the design ranking and selection problem in MG simulations from a set of finite alternatives in the presence of stochastic constraints. Each design encapsulates a different level of control of the segregation mechanism within the system, and a performance function measured as a combination of the incurred cost and energy surety. Building on this performance function, optimal computing budget allocation (OCBA) method is used to efficiently allocate simulation replications for selecting the best design with significant accuracy and reasonable computational burden. Computational results on a multi-scale MG testbed have shown that OCBA algorithm outperforms equal and proportional to variance allocation of replications.

Original languageEnglish (US)
Title of host publicationProceedings - Winter Simulation Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2762-2773
Number of pages12
Volume2015-January
ISBN (Print)9781479974863
DOIs
StatePublished - Jan 23 2015
Event2014 Winter Simulation Conference, WSC 2014 - Savannah, United States
Duration: Dec 7 2014Dec 10 2014

Other

Other2014 Winter Simulation Conference, WSC 2014
CountryUnited States
CitySavannah
Period12/7/1412/10/14

Fingerprint

Microgrid
Replication
Simulation
Dynamic loads
Testbeds
Ranking and Selection
Computing
Alternatives
Segregation
Energy
Testbed
Grouping
Computational Results
Directly proportional
Grid
Design
Costs

ASJC Scopus subject areas

  • Software
  • Modeling and Simulation
  • Computer Science Applications

Cite this

Bastani, M., Thanos, A. E., Celik, N., & Chen, C. H. (2015). Efficient design selection in microgrid simulations. In Proceedings - Winter Simulation Conference (Vol. 2015-January, pp. 2762-2773). [7020119] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WSC.2014.7020119

Efficient design selection in microgrid simulations. / Bastani, Mehrad; Thanos, Aristotelis E.; Celik, Nurcin; Chen, Chun Hung.

Proceedings - Winter Simulation Conference. Vol. 2015-January Institute of Electrical and Electronics Engineers Inc., 2015. p. 2762-2773 7020119.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Bastani, M, Thanos, AE, Celik, N & Chen, CH 2015, Efficient design selection in microgrid simulations. in Proceedings - Winter Simulation Conference. vol. 2015-January, 7020119, Institute of Electrical and Electronics Engineers Inc., pp. 2762-2773, 2014 Winter Simulation Conference, WSC 2014, Savannah, United States, 12/7/14. https://doi.org/10.1109/WSC.2014.7020119
Bastani M, Thanos AE, Celik N, Chen CH. Efficient design selection in microgrid simulations. In Proceedings - Winter Simulation Conference. Vol. 2015-January. Institute of Electrical and Electronics Engineers Inc. 2015. p. 2762-2773. 7020119 https://doi.org/10.1109/WSC.2014.7020119
Bastani, Mehrad ; Thanos, Aristotelis E. ; Celik, Nurcin ; Chen, Chun Hung. / Efficient design selection in microgrid simulations. Proceedings - Winter Simulation Conference. Vol. 2015-January Institute of Electrical and Electronics Engineers Inc., 2015. pp. 2762-2773
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