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Collaborative and effective scheduling of integrated energy systems with consideration of carbon restrictions

Qinglin Meng, Jing Xu, Fengzhang Luo, Xiaolong Jin, Liang Xu, Wei Yao, Shangting Jin

2023IET Generation Transmission & Distribution47 citationsDOIOpen Access PDF

Abstract

Abstract To address the balancing challenge of real‐time power demand and supply in power systems caused by unpredictable output fluctuations of renewable energies, collaborative and effective scheduling of integrated energy systems is proposed with consideration for carbon restrictions. The model incorporates various energy resources, including cold, heat, electricity, and gas, and overcomes the barriers among different levels of heterogeneous energy grid systems. This makes it possible to coordinate the vertical complementarity of source‐grid‐load‐storage and the horizontal complementarity of multi‐energy while taking into account investment costs and carbon trading to achieve the economic operation of the system. This analysis shows that the proposed model can dissipate the excess of new energy generation from the grid. and achieve a balance between supply and demand, while effectively reducing the economic operation cost of the whole system.

Topics & Concepts

Renewable energyGridComplementarity (molecular biology)Computer scienceMixed complementarity problemElectricityScheduling (production processes)Environmental economicsEnergy storageElectric power systemDistributed generationEnergy systemEnergy supplyElectricity generationSmart gridIntermittent energy sourceDistributed computingEnergy (signal processing)Power (physics)EconomicsEngineeringOperations managementElectrical engineeringGeneticsPhysicsBiologyMathematicsNonlinear systemGeometryStatisticsQuantum mechanicsIntegrated Energy Systems OptimizationSmart Grid Energy ManagementHybrid Renewable Energy Systems