DDDAMS-based dispatch control in power networks

Nurcin Celik, Aristotelis E. Thanos, Juan P. Saenz

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

8 Citations (Scopus)

Abstract

Electricity networks need robust decision making mechanisms that enable the system to respond swiftly and effectively to any type of disruption or anomaly in order to ensure reliable electricity flow. Electricity load dispatch is concerned with the production of reliable electricity at the lowest costs, both monetary and environmental, within the limitations of the considered network. In this study, we propose a novel DDDAMS-based economic load dispatching framework for the efficient and reliable real-time dispatching of electricity under uncertainty. The proposed framework includes 1) a database fed from electrical and environmental sensors of a power grid, 2) an algorithm for online state estimation of the considered electrical network using particle filtering, 3) an algorithm for effective culling and fidelity selection in simulation considering the trade-off between computational requirements, and the environmental and economic costs attained by the dispatch, and 4) data driven simulation for mimicking the system response and generating a dispatch configuration which minimizes the total operational and environmental costs of the system, without posing security risks to the energy network. Components of the proposed framework are first validated separately through synthetic experimentation, and then the entirety of the proposed approach is successfully demonstrated for different scenarios in a modified version of the IEEE-30 bus test system where sources of distributed generation have been added. The experiments reveal that the proposed work premises significant improvement in the functional performance of the electricity networks while reducing the cost of dynamic computations.

Original languageEnglish (US)
Title of host publicationProcedia Computer Science
PublisherElsevier
Pages1899-1908
Number of pages10
Volume18
DOIs
StatePublished - 2013
Event13th Annual International Conference on Computational Science, ICCS 2013 - Barcelona, Spain
Duration: Jun 5 2013Jun 7 2013

Other

Other13th Annual International Conference on Computational Science, ICCS 2013
CountrySpain
CityBarcelona
Period6/5/136/7/13

Fingerprint

Electricity
Costs
Economics
Distributed power generation
State estimation
Decision making
Sensors
Experiments

Keywords

  • Dynamic data driven application systems (DDDAS)
  • Economic load dispatch
  • Power grids
  • Real-time decision making

ASJC Scopus subject areas

  • Computer Science(all)

Cite this

Celik, N., Thanos, A. E., & Saenz, J. P. (2013). DDDAMS-based dispatch control in power networks. In Procedia Computer Science (Vol. 18, pp. 1899-1908). Elsevier. https://doi.org/10.1016/j.procs.2013.05.359

DDDAMS-based dispatch control in power networks. / Celik, Nurcin; Thanos, Aristotelis E.; Saenz, Juan P.

Procedia Computer Science. Vol. 18 Elsevier, 2013. p. 1899-1908.

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

Celik, N, Thanos, AE & Saenz, JP 2013, DDDAMS-based dispatch control in power networks. in Procedia Computer Science. vol. 18, Elsevier, pp. 1899-1908, 13th Annual International Conference on Computational Science, ICCS 2013, Barcelona, Spain, 6/5/13. https://doi.org/10.1016/j.procs.2013.05.359
Celik N, Thanos AE, Saenz JP. DDDAMS-based dispatch control in power networks. In Procedia Computer Science. Vol. 18. Elsevier. 2013. p. 1899-1908 https://doi.org/10.1016/j.procs.2013.05.359
Celik, Nurcin ; Thanos, Aristotelis E. ; Saenz, Juan P. / DDDAMS-based dispatch control in power networks. Procedia Computer Science. Vol. 18 Elsevier, 2013. pp. 1899-1908
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