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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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    Cited by:

    1. Emad A. Mohamed & Mokhtar Aly & Masayuki Watanabe, 2022. "New Tilt Fractional-Order Integral Derivative with Fractional Filter (TFOIDFF) Controller with Artificial Hummingbird Optimizer for LFC in Renewable Energy Power Grids," Mathematics, MDPI, vol. 10(16), pages 1-33, August.
    2. Jin, Xiaoyu & Liu, Benxi & Liao, Shengli & Cheng, Chuntian & Yan, Zhiyu, 2022. "A Wasserstein metric-based distributionally robust optimization approach for reliable-economic equilibrium operation of hydro-wind-solar energy systems," Renewable Energy, Elsevier, vol. 196(C), pages 204-219.
    3. Ahmed Amin & Mohamed Ebeed & Loai Nasrat & Mokhtar Aly & Emad M. Ahmed & Emad A. Mohamed & Hammad H. Alnuman & Amal M. Abd El Hamed, 2022. "Techno-Economic Evaluation of Optimal Integration of PV Based DG with DSTATCOM Functionality with Solar Irradiance and Loading Variations," Mathematics, MDPI, vol. 10(14), pages 1-16, July.
    4. Chen, Xianqing & Dong, Wei & Yang, Lingfang & Yang, Qiang, 2023. "Scenario-based robust capacity planning of regional integrated energy systems considering carbon emissions," Renewable Energy, Elsevier, vol. 207(C), pages 359-375.

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