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

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  • Sun, Peng
  • Yun, Teng
  • Chen, Zhe

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.

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  • Sun, Peng & Yun, Teng & Chen, Zhe, 2021. "Multi-objective robust optimization of multi-energy microgrid with waste treatment," Renewable Energy, Elsevier, vol. 178(C), pages 1198-1210.
    • Handle: RePEc:eee:renene:v:178:y:2021:i:c:p:1198-1210
    DOI: 10.1016/j.renene.2021.06.041
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