Multi-objective robust optimization of multi-energy microgrid with waste treatment

Peng Sun, Teng Yun and Zhe Chen

Renewable Energy, 2021, vol. 178, issue C, 1198-1210

Abstract: In the context of “zero-waste city” and energy internet, the interaction and connection between the energy supply of biomass waste disposal and multi-energy systems are becoming increasingly close. On such a basis, this paper proposes a multi-energy microgrid (MEMG) framework for the comprehensive utilization of biomass waste energy. Firstly, the energy supply and demand model of biomass waste of domestic residual waste and kitchen waste is studied, and biomass disposal facilities are taken as the flexible resource of MEMG. Then, a multi-energy storage system is established for flexible regulation according to the fluctuating demand of multi-energy in MEMG. Considering the uncertainties of biomass waste production by residents, renewable energy output, and multi-energy load, a MEMG multi-objective robust optimal scheduling model is established with the objectives of minimizing operating costs and maximizing waste disposal. Finally, a numerical example simulation is carried out with a MEMG in Northeast China. The simulation results verify the effectiveness and economics of the MEMG integrated biomass waste treatment facility through different comparison scenarios, which can realize the effective integration of energy consumption and environmental friendliness.

Keywords: Microgrid; Multi-energy storage; Biomass energy; Multi-objective optimization; Robust optimization (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960148121009071
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:178:y:2021:i:c:p:1198-1210

DOI: 10.1016/j.renene.2021.06.041

Access Statistics for this article

Renewable Energy is currently edited by Soteris A. Kalogirou and Paul Christodoulides

More articles in Renewable Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().