Two-Stage Stochastic Energy Scheduling for Multi-Energy Rural Microgrids With Irrigation Systems and Biomass Fermentation

Multi-energy rural microgrids (MERMs) hold both economic potential and multi-energy coordination ability, emerging as a promising energy management paradigm in rural areas. In this paper, an energy scheduling method is investigated for a MERM with renewable energy and biomass resources, aiming to sa...

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Vydáno v:	IEEE transactions on smart grid Ročník 16; číslo 2; s. 1075 - 1087
Hlavní autoři:	Li, Wanhao, Zou, Yunyang, Yang, Hongming, Fu, Xueqian, Xiang, Sheng, Li, Zhengmao
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Piscataway IEEE 01.03.2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Algorithms Alternative energy sources Ambient temperature anaerobic biomass fermentation Biomass Biomass energy production Costs Crops Decomposition Distributed generation Energy management Fermentation Irrigation irrigation system Irrigation systems Microgrids Mixed integer Multi-energy rural microgrids Natural gas Precipitation progress hedging Quadratic programming Renewable energy sources Rural areas Scheduling Stochastic processes Thermal analysis two-stage stochastic optimization Uncertainty
ISSN:	1949-3053, 1949-3061
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Abstract	Multi-energy rural microgrids (MERMs) hold both economic potential and multi-energy coordination ability, emerging as a promising energy management paradigm in rural areas. In this paper, an energy scheduling method is investigated for a MERM with renewable energy and biomass resources, aiming to satisfy the rural electrical, thermal, natural gas, and irrigation demands economically. Mathematically, biomass flows are formulated by adopting a differential dynamics model of anaerobic biomass fermentation. The irrigation system is accurately formulated by fully taking into account meteorological information such as ambient temperature and precipitation. To handle the uncertainties in precipitation, reservoir inflows, renewable power generation as well as electrical and thermal load demands, a two-stage stochastic optimization method is employed, and the proposed model is then reformulated into a stochastic mixed integer quadratic programming (SMIQP) problem. To mitigate the computational burden arising from integer variables and enhance the solution efficiency, a scenario decomposition algorithm, progressive hedging (PH), is used to decompose the SMIQP into scenario-wise subproblems, which are then solved in parallel. Finally, the simulation results demonstrate the effectiveness of the proposed MERM scheduling method and the efficiency of the PH algorithm.
AbstractList	Multi-energy rural microgrids (MERMs) hold both economic potential and multi-energy coordination ability, emerging as a promising energy management paradigm in rural areas. In this paper, an energy scheduling method is investigated for a MERM with renewable energy and biomass resources, aiming to satisfy the rural electrical, thermal, natural gas, and irrigation demands economically. Mathematically, biomass flows are formulated by adopting a differential dynamics model of anaerobic biomass fermentation. The irrigation system is accurately formulated by fully taking into account meteorological information such as ambient temperature and precipitation. To handle the uncertainties in precipitation, reservoir inflows, renewable power generation as well as electrical and thermal load demands, a two-stage stochastic optimization method is employed, and the proposed model is then reformulated into a stochastic mixed integer quadratic programming (SMIQP) problem. To mitigate the computational burden arising from integer variables and enhance the solution efficiency, a scenario decomposition algorithm, progressive hedging (PH), is used to decompose the SMIQP into scenario-wise subproblems, which are then solved in parallel. Finally, the simulation results demonstrate the effectiveness of the proposed MERM scheduling method and the efficiency of the PH algorithm.
Author	Zou, Yunyang Yang, Hongming Li, Wanhao Fu, Xueqian Li, Zhengmao Xiang, Sheng
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Cites_doi	10.1016/j.rser.2022.112288 10.1016/j.energy.2022.124303 10.1016/j.energy.2013.10.065 10.1109/TSG.2021.3080312 10.1016/j.apenergy.2016.02.051 10.1016/j.renene.2022.12.005 10.1016/j.energy.2021.121638 10.3390/designs2030033 10.1109/tpwrs.2024.3376808 10.1109/TSG.2023.3317780 10.1016/j.scs.2021.103225 10.3390/app12094235 10.1109/TPWRS.2023.3253809 10.1016/j.agwat.2005.03.007 10.1016/j.apenergy.2019.114284 10.1007/s10287-010-0125-4 10.1016/j.apenergy.2022.120155 10.1016/j.apenergy.2017.08.197 10.1016/j.apenergy.2017.05.004 10.1049/enc2.12077 10.17775/CSEEJPES.2022.06200 10.1049/enc2.12088 10.1016/j.ijepes.2021.107417 10.1016/j.scs.2021.102723 10.1016/j.apenergy.2023.120682 10.1016/j.jhydrol.2021.127394 10.1109/TSTE.2021.3075615 10.1016/j.agwat.2020.106357 10.1109/TSTE.2023.3240184 10.1109/iSPEC53008.2021.9735902 10.1007/s10668-023-03294-x 10.1016/j.egyr.2019.08.031 10.1109/ITAIC54216.2022.9836903 10.1109/TSTE.2022.3223684
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SubjectTerms	Algorithms Alternative energy sources Ambient temperature anaerobic biomass fermentation Biomass Biomass energy production Costs Crops Decomposition Distributed generation Energy management Fermentation Irrigation irrigation system Irrigation systems Microgrids Mixed integer Multi-energy rural microgrids Natural gas Precipitation progress hedging Quadratic programming Renewable energy sources Rural areas Scheduling Stochastic processes Thermal analysis two-stage stochastic optimization Uncertainty
Title	Two-Stage Stochastic Energy Scheduling for Multi-Energy Rural Microgrids With Irrigation Systems and Biomass Fermentation
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