Optimization of distributed generation penetration based on particle filtering

Nurcin Celik, Juan Pablo Saenz, Xiaoran Shi

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

4 Scopus citations

Abstract

Distributed generation is small scale power cogeneration within an integrated energy network, that provides system wide and environmental benefits. Network benefits include enhancements to reliability, reduction of peak power requirements, improved power quality and enhanced resilience. Environmental benefits include better land use for transmission and distribution, and reduced ecological impact. Deploying distributed generation affects the power loss in the system and has an associated cost. Therefore, optimization of the penetration level of the distributed generation should consider both goals of minimizing total power loss and minimizing total operational costs. In this study, we propose a novel multi-objective optimization framework based on particle filtering to evaluate the effects of adding distributed generation to a networked system in terms of power loss and operational costs, simultaneously. The proposed framework has been demonstrated on the IEEE-30 bus system yielding to minimal power losses of 2.075 MW and minimal costs of $547.51 per hour.

Original languageEnglish (US)
Title of host publicationProceedings of the 2012 Winter Simulation Conference, WSC 2012
DOIs
StatePublished - Dec 1 2012
Event2012 Winter Simulation Conference, WSC 2012 - Berlin, Germany
Duration: Dec 9 2012Dec 12 2012

Publication series

NameProceedings - Winter Simulation Conference
ISSN (Print)0891-7736

Other

Other2012 Winter Simulation Conference, WSC 2012
CountryGermany
CityBerlin
Period12/9/1212/12/12

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ASJC Scopus subject areas

  • Software
  • Modeling and Simulation
  • Computer Science Applications

Cite this

Celik, N., Saenz, J. P., & Shi, X. (2012). Optimization of distributed generation penetration based on particle filtering. In Proceedings of the 2012 Winter Simulation Conference, WSC 2012 [6465131] (Proceedings - Winter Simulation Conference). https://doi.org/10.1109/WSC.2012.6465131