IEEE Transactions on Smart Grid · 2022 · 42 citations · 38 references
EngineeringArchitectural EngineeringEnergy ManagementEnergy SystemsHeatingBuilding Energy SystemsDistributed Energy ResourcesEnergy EfficiencyEnergy System ModelingUrban Energy SystemsIntegrated Energy System ModelingIntegrated Energy SystemsNatural GasPower DistributionResilienceUrban Energy ModelingUrban Energy ResilienceWaste Reuse
In this paper, a novel co-optimization model is proposed for integrated electricity-gas-heat urban energy systems to improve resilience during extreme events. This paper modelled and analysed data centres’ optimal operation, workload redistribution, and waste heat reuse. In addition to guaranteeing power supply as critical loads, data centres also provide the generated waste heat to customers via the urban heating network. Meanwhile, the proposed model considers complex interactions of multiple energy systems and the recovery decisions of the power distribution system. Energy conversion devices and electric-driven coupling components are modelled. Even more importantly, the dynamic characteristics of natural gas and heating systems, which cannot be neglected, are also considered and discussed in detail. Case studies verify the effectiveness of the proposed co-optimization model. The results indicate that the resilience of urban energy systems requires to be improved by collaboration between multiple sectors. Considering interdependencies and coupling among multiple energy systems can enhance their response and resistance to extreme events.
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JuMP: A MODELING LANGUAGE FOR MATHEMATICAL OPTIMIZATION
2016 · 1.4K citations
JuMP: A Modeling Language for Mathematical Optimization
SIAM Review · 2017 · 1.2K citations · Full text
Battling the Extreme: A Study on the Power System Resilience
Zhaohong Bie, Yanling Lin, Gengfeng Li et al. · Proceedings of the IEEE · 2017 · 827 citations
Planning, Systems Engineering, Critical Infrastructure Protection +16