A non-linear optimization model assessment for the economic dispatch of isolated microgrids

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Published: May 17, 2024
Updated: 2024-05-17
Versions:
2024-05-17 (5)
DOI: https://doi.org/10.17163/ings.n31.2024.03
Keywords:
Economic dispatch, mixed-integer nonlinear optimization problem, non-conventional renewable energy, isolated microgrid

Main Article Content

Carlos Veloz
https://orcid.org/0009-0003-1242-6375
Diego L. Jimenez J.
https://orcid.org/0000-0003-1683-4520
Veronica C. Almache B.
https://orcid.org/0009-0007-3023-5838
Roberto Salazar Achig
https://orcid.org/0000-0003-4770-1181

Abstract

The present research work shows the optimal energy management of an isolated microgrid based on non-conventional renewable energy sources. For which an economic dispatch problem is proposed that seeks to supply the electrical demand at the lowest possible operating cost, based on a mixed integer nonlinear optimization problem. The nonlinearity of the algorithm is presented by including the characteristic equation of the real operation of the generating set in the optimization model. The input data to the economic office such as solar radiation and wind speed were obtained from the NASA platform located on Santa Cruz Island, Galapagos province, Ecuador. In addition, the electricity demand data was obtained from real measurements of the sector. The economic dispatch problem has been determined for 12, 24 and 168 hours respectively, obtaining a proportional energy distribution for each case of 50.40% supplied by the photovoltaic generator, 23.92% by the diesel generator, 17.14% by the battery bank and 5.53% by the wind generator, so the demand was supplied in its entirety, meeting the objective that the generating set does not present intermittencies and obtaining the lowest operating cost of the system.

Article Details

Issue
No. 31 (2024): january-june
Section
Electrical Engineering
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