Next Article in Journal
Chance-Constrained Real-Time Dispatch with Renewable Uncertainty Based on Dynamic Load Flow
Previous Article in Journal
Utilization of Microalgal Biofractions for Bioethanol, Higher Alcohols, and Biodiesel Production: A Review
 
 
Article

Optimal Design of a Multi-Carrier Microgrid (MCMG) Considering Net Zero Emission

1
Department of Electrical Engineering, Faculty of Electrical Engineering, Science and Research Branch, Islamic Azad University, Tehran 14778-93855, Iran
2
Department of Electrical Engineering, Faculty of Electrical Engineering, Iran University of Science and Technology, Tehran 16846-13114, Iran
3
Department of Electrical Engineering, Faculty of Electrical Engineering, Sharif University of Science and Technology, Tehran 11365-11155, Iran
*
Author to whom correspondence should be addressed.
Energies 2017, 10(12), 2109; https://doi.org/10.3390/en10122109
Received: 15 August 2017 / Revised: 6 November 2017 / Accepted: 9 November 2017 / Published: 12 December 2017
In this paper, a two-stage optimum planning and design method for a multi-carrier microgrid (MCMG) is presented in the targeted operation period considering energy purchasing and the component’s maintenance costs. An MCMG is most likely owned by a community or small group of public and private sectors comprising loads and distributed energy resources (DERs) with the ability of self-supply to regulate the flows of various energies to local consumers. The operation cost is undoubtedly reduced by selecting the proper components. In the proposed model, the investment and operation and maintenance costs of MCMG are simultaneously carried out in order to choose the right component and its size in the given period. Moreover, in this innovative model, net zero emission (NZE) is regarded as an environmental constraint. The genetic algorithm of MATLAB and the mixed-integer nonlinear programming (MINLP) technique of GAMS (general algebraic modeling system) software are used to solve the optimization problem. Illustrative examples show the efficiency of the proposed model. View Full-Text
Keywords: cooperative operation; demand response; genetic algorithm; multi-carrier microgrid; net zero emission; planning cooperative operation; demand response; genetic algorithm; multi-carrier microgrid; net zero emission; planning
Show Figures

Figure 1

MDPI and ACS Style

Amir, V.; Jadid, S.; Ehsan, M. Optimal Design of a Multi-Carrier Microgrid (MCMG) Considering Net Zero Emission. Energies 2017, 10, 2109. https://doi.org/10.3390/en10122109

AMA Style

Amir V, Jadid S, Ehsan M. Optimal Design of a Multi-Carrier Microgrid (MCMG) Considering Net Zero Emission. Energies. 2017; 10(12):2109. https://doi.org/10.3390/en10122109

Chicago/Turabian Style

Amir, Vahid, Shahram Jadid, and Mehdi Ehsan. 2017. "Optimal Design of a Multi-Carrier Microgrid (MCMG) Considering Net Zero Emission" Energies 10, no. 12: 2109. https://doi.org/10.3390/en10122109

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop