Utility resource planning using modular simulation and optimization

Juan Sáenz Corredor, Nurcin Celik, Shihab Asfour, Young Jun Son

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

2 Scopus citations

Abstract

Electric utility resource planning traditionally focuses on conventional energy supplies. Nowadays, planning of renewable energy generation and its storage has become equally important due to the growth in demand, insufficiency of natural resources, and policies for low carbon footprint. We propose to develop a simulation based decision making framework to determine the best possible combination of investments for electric power generation and storage capacities. The proposed tool involves a combined continuous-discrete modular modeling approach for processes of different nature within this complex system, and will aid utility companies in resource planning via multi-objective optimization in a realistic simulation environment. The distributed power system considered has four components including energy generation, storage, transmission, and electricity demand. The proposed approach has been demonstrated for the electric utility resource planning at a scale of the state of Florida.

Original languageEnglish (US)
Title of host publicationProceedings of the 2011 Winter Simulation Conference, WSC 2011
Pages963-975
Number of pages13
DOIs
StatePublished - Dec 1 2011
Event2011 Winter Simulation Conference, WSC 2011 - Phoenix, AZ, United States
Duration: Dec 11 2011Dec 14 2011

Publication series

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

Other

Other2011 Winter Simulation Conference, WSC 2011
CountryUnited States
CityPhoenix, AZ
Period12/11/1112/14/11

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ASJC Scopus subject areas

  • Software
  • Modeling and Simulation
  • Computer Science Applications

Cite this

Corredor, J. S., Celik, N., Asfour, S., & Son, Y. J. (2011). Utility resource planning using modular simulation and optimization. In Proceedings of the 2011 Winter Simulation Conference, WSC 2011 (pp. 963-975). [6147821] (Proceedings - Winter Simulation Conference). https://doi.org/10.1109/WSC.2011.6147821