the configuration of shared energy storage stations in integrated energy systems can effectively improve overall energy utilization efficiency. How to coordinate the energy demands and benefit distribution among various agents within the system constitutes a key challenge in achieving low-carbon and economic development of integrated energy system.In this regard
the paper proposes a master-slave game optimization operation method of multi-body integrated energy system considering shared energy storage under the electric carbon market. Firstly
a multi-subject energy interaction architecture under the electric carbon market is constructed; secondly
a multi-subject integrated energy system optimization operation model is established by combining the benefits of each subject; then
a master-slave game mechanism with one master and many slaves is established with the system operator as the leader and the load aggregators
parks
and shared energy storage power stations as the followers
and the equilibrium solution of the game is calculated by the improved adaptive variant particle swarm algorithm. Finally
the proposed method is verified by the case study
showing that it can effectively coordinate the conflicting interests of multiple subjects
enhance the economic benefits of the integrated energy system and reduce carbon emissions.
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LOW-CARBON ECONOMIC DISPATCH OF INTEGRATED ENERGY SYSTEM IN CAMPUS BASED ON STACKELBERG GAME AND HYBRID CARBON POLICY
CONSIDERING GREEN CERTIFICATE-CARBON JOINT TRADING AND DEMAND RESPONSE INTEGRATED ENERGY SYSTEM ECONOMIC OPERATION
OPTIMIZATION SCHEDULING OF HYDROGEN-CONTAINING INTEGRATED ENERGY SYSTEM UNDER GREEN CERTIFICATE-CARBON TRADING INTEGRATION MECHANISM
考虑动态定价机制的双层微电网低碳经济优化运行
Related Author
鲁子凡
熊军华
王亭岭
康义
李永青
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Related Institution
Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of Education (Northeast Electric Power University)
Chongqing Datang International Pengshui Hydropower Development Co., Ltd
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Engineering Research Center of Education Ministry for Renewable Energy Power Generation and Grid Technology(Xinjiang University)
Department of Automation, North China Electric Power University