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Economical Optimization of Microgrids: A Non-Causal Model

[+] Author Affiliations
Kevin Milis, Herbert Peremans

University of Antwerp, Antwerp, Belgium

Paper No. ES2015-49634, pp. V002T13A009; 10 pages
  • ASME 2015 9th International Conference on Energy Sustainability collocated with the ASME 2015 Power Conference, the ASME 2015 13th International Conference on Fuel Cell Science, Engineering and Technology, and the ASME 2015 Nuclear Forum
  • Volume 2: Photovoltaics; Renewable-Non-Renewable Hybrid Power System; Smart Grid, Micro-Grid Concepts; Energy Storage; Solar Chemistry; Solar Heating and Cooling; Sustainable Cities and Communities, Transportation; Symposium on Integrated/Sustainable Building Equipment and Systems; Thermofluid Analysis of Energy Systems Including Exergy and Thermoeconomics; Wind Energy Systems and Technologies
  • San Diego, California, USA, June 28–July 2, 2015
  • Conference Sponsors: Advanced Energy Systems Division, Solar Energy Division
  • ISBN: 978-0-7918-5685-7
  • Copyright © 2015 by ASME


In this paper we present an economical optimization model for a microgrid connected to the general electricity grid by minimizing the total operating cost over a given period in the presence of uncertain future grid electricity prices. The microgrid is modeled to consist of five distinct blocks, four of which make up the microgrid and the fifth one being the connection to the general electricity grid. Each of these components has various adjustable attributes, allowing for the simulation of different kinds of consumers as well as different storage and generation technologies. Consumption and intermittent generation are exogenous variables derived from existing datasets. Under uncertain future grid electricity prices, the storage component introduces a non-causal dependency into the model, to cope with this non-causality, we present various storage use strategies and analyze the resulting cost patterns using real electricity price data and Monte Carlo simulations.

Copyright © 2015 by ASME



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