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Joint Optimization of Planning and Operation in Multi-Region Integrated Energy Systems Considering Flexible Demand Response

Shan Gao, Tiancheng E. Song, Sai Liu, Cheng Zhou, Chenkai Xu, Haomin Guo, Xiaogang Li, Zheng Li, Yu Liu, Weiyi Jiang, Juncheng Wang, Sicheng Wang

2021IEEE Access24 citationsDOIOpen Access PDF

Abstract

The multi-region integrated energy system (MRIES) is one promising option for exploiting the complementarity potentials between power system, thermal system and loads, as well as improving flexibility and economic competitiveness. However, the optimal planning has remained challenging since it involves multiple forms of energies with the nature of coupling. A mixed integer linear programming (MILP) model is proposed for joint optimization of MRIES planning and operation, which considers the flexible load's demand response (DR). It is realized by combining the multi-region heating network IES coupling model with the flexible cooling-heating-electric load DR model. The results show that the proposed model can assist planners to comprehensively analyze and evaluate the impacts of multiple factors on planning, and to determine the optimal planning configuration and operation strategy.

Topics & Concepts

Flexibility (engineering)Demand responseComputer scienceComplementarity (molecular biology)Linear programmingMathematical optimizationInteger programmingJoint (building)Electric power systemIntegrated business planningLoad managementOperation planningCoupling (piping)Power (physics)Operations researchElectricityEngineeringMechanical engineeringBiologyGeneticsEconomicsArchitectural engineeringElectrical engineeringStatisticsAlgorithmPhysicsQuantum mechanicsManagementMathematicsIntegrated Energy Systems OptimizationHybrid Renewable Energy SystemsSmart Grid Energy Management
Joint Optimization of Planning and Operation in Multi-Region Integrated Energy Systems Considering Flexible Demand Response | Litcius