Artículo de revista
A novel stochastic-programming-based energy management system to promote self-consumption in industrial processes
Fecha
2018Registro en:
Energies, Volumen 11, Issue 2, 2018
19961073
10.3390/en11020441
Autor
Barrientos, Jorge
López, José
Valencia, Felipe
Institución
Resumen
The introduction of non-conventional energy sources (NCES) to industrial processes is
a viable alternative to reducing the energy consumed from the grid. However, a robust coordination
of the local energy resources with the power imported from the distribution grid is still an open
issue, especially in countries that do not allow selling energy surpluses to the main grid. In this
paper, we propose a stochastic-programming-based energy management system (EMS) focused on
self-consumption that provides robustness to both sudden NCES or load variations, while preventing
power injection to the main grid. The approach is based on a finite number of scenarios that combines
a deterministic structure based on spectral analysis and a stochastic model that represents variability.
The parameters to generate these scenarios are updated when new information arrives. We tested
the proposed approach with data from a copper extraction mining process. It was compared to
a traditional EMS with perfect prediction, i.e., a best case scenario. Test results show that the
proposed EMS is comparable to the EMS with perfect prediction in terms of energy imported from
the grid (slightly higher), but with less power changes in the distribution side and enhanced dynamic
response to transients of wind power and load. This improvement is achieved with a non-significant
computational time overload.