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Economic Dispatch of BESS and Renewable Generators in DC Microgrids Using Voltage-Dependent Load Models.
- Source :
-
Energies (19961073) . Dec2019, Vol. 12 Issue 23, p4494. 1p. 4 Diagrams, 8 Charts, 6 Graphs. - Publication Year :
- 2019
-
Abstract
- This paper addresses the optimal dispatch problem for battery energy storage systems (BESSs) in direct current (DC) mode for an operational period of 24 h. The problem is represented by a nonlinear programming (NLP) model that was formulated using an exponential voltage-dependent load model, which is the main contribution of this paper. An artificial neural network was employed for the short-term prediction of available renewable energy from wind and photovoltaic sources. The NLP model was solved by using the general algebraic modeling system (GAMS) to implement a 30-node test feeder composed of four renewable generators and three batteries. Simulation results demonstrate that the cost reduction for a daily operation is drastically affected by the operating conditions of the BESS, as well as the type of load model used. [ABSTRACT FROM AUTHOR]
- Subjects :
- *BATTERY storage plants
*MICROGRIDS
*WIND power
*ARTIFICIAL neural networks
Subjects
Details
- Language :
- English
- ISSN :
- 19961073
- Volume :
- 12
- Issue :
- 23
- Database :
- Academic Search Index
- Journal :
- Energies (19961073)
- Publication Type :
- Academic Journal
- Accession number :
- 140161979
- Full Text :
- https://doi.org/10.3390/en12234494