Low carbon-oriented planning of shared energy storage station for multiple integrated energy systems considering energy-carbon flow and carbon emission reduction

ENERGY(2024)

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摘要
-With the development of energy storage technology and sharing economy, the shared energy storage in integrated energy system provides potential benefit to reduce system operation costs and carbon emissions. This paper presents a bi-level carbon-oriented planning method of shared energy storage station for multiple integrated energy systems. Firstly, the energy-carbon relationship of the multiple integrated energy systems is established, and the node carbon intensity models of power grid, integrated energy system and shared energy storage station are established. Secondly, a bi-level planning model of shared energy storage station is developed. The upper layer model solves the optimal capacity planning problem of shared energy storage station to minimize average emission reduction cost in a long time scale. The lower layer model solves the optimal operation problem of multiple integrated energy systems with the goal of minimizing the operation cost in a short time scale. Furthermore, considering the uncertainty of wind and photovoltaic power in integrated energy system, the conditional value at risk method is adopted as the risk measurement index in the lower layer operation cost. Finally, the case study verifies the advantages of the proposed method in economy and environmental friendliness through the comparative analysis of three different energy storage planning cases. Simulation results show that, compared with the energy storage planned separately for each integrated energy system, it is more environmental friendly and economical to provide energy storage services for each integrated energy system through shared energy storage station, the carbon emission reduction rate has increased by 166.53 %, and the system operation cost decreases by 33.48 %.
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关键词
Integrated energy system,Shared energy storage,Bi-level planning model,Capacity planning,Optimal operation,Carbon emission
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