IEEE Transactions on Sustainable Energy · 2017 · 317 citations · 27 references
EngineeringIndustrial EngineeringEnergy ManagementEnergy SystemsStochastic ModelingEnergy Management SystemsEnergy StorageEnergy Storage IntegrationEnergy System ModelingRenewable EnergySustainable Energy SystemsHeat StorageIntegrated Energy System ModelingIntegrated Energy SystemsNatural GasOptimal Control Of Stochastic SystemsScenario-based OptimizationStochastic Operation OptimizationStochastic Optimal Control
Integrated energy systems enable efficient utilization of multiple energy types. The study investigates stochastic optimal operation of a micro integrated electric power, natural gas, and heat delivery system. The authors propose a low‑carbon micro‑IPGHS that incorporates renewable generation, power‑to‑gas, and combined heat‑and‑power units, and develop a scenario‑based optimal operation model that accounts for demand, renewable uncertainty, energy exchanges, and storage constraints, validated by a case study. The integrated system effectively utilizes variable clean energy to optimize green delivery in the micro‑IPGHS.
Integrated energy system is important for the high-efficient utilization of multitype energy systems. In this paper, the stochastic optimal operation is investigated for the micro integrated electric power, natural gas, and heat delivery system (IPGHS). First, a low-carbon micro-IPGHS is proposed with the comprehensive consideration of renewable generation, carbon-capture-based power-to-gas technology, and the combined power and heat units. Second, a scenario-based optimal operation model for micro-IPGHS is proposed to handle uncertainties in energy demand and renewable generation. In the proposed model, energy transactions between micro-IPGHS and upstream energy systems as well as constraints for battery storage, natural gas storage, and heat storage systems are considered. Finally, a case study is used for the proposed low-carbon micro-IPGHS to validate the optimal stochastic operation approach. The proposed integrated system can effectively utilize the variable clean energy for optimizing the delivery of the green operation in micro-IPGHS.
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Scenario reduction in stochastic programming
J. Dupa ov�, N. Gr�we-Kuska, Werner R�misch · Mathematical Programming · 2003 · 1K citations
Stephen Clegg, Pierluigi Mancarella · IEEE Transactions on Sustainable Energy · 2015 · 539 citations · Full text
Engineering, Electrical Engineering, Environmental Engineering +17