To reduce the energy supply cost and CO emissions of the park and meet the energy demands of different grades in industrial production
a distributed energy system for the park that takes into account P2G and the supply of thermal energy of different grades is proposed. Firstly
the typical daily load is selected using the -means clustering algorithm. Then
a capacity optimization model is established with the objective of minimizing the annual total cost and CO emissions of the system. Next
a decision-making process is initiated utilizing the TOPSIS method
which has been adjusted through entropy weighting
in order to address the derived Pareto frontier. Finally
a comparative analysis is conducted to investigate the impact of different system configurations on their overall performance. The research results indicate that the proposed distributed energy system for the park which considers P2G and thermal energy grades is more economical and environmental friendly. The integration of heat pumps and P2G technology effectively enhances the system's renewable energy absorption capacity
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