Grid Peak-shaving Study Considering Electrolytic Hydrogen Production Segmentation Capacity and Equivalent Load Disaggregation in Multi-time Scale
New energy has obvious volatility and anti-peak-shaving characteristics,and the integration of large-scale new energy into the power grid poses challenges to the peak-shaving.Hydrogen energy has a good potential for application as a potential peak-shaving resource.A multi-time scale peak-shaving scheduling model based on electrolytic hydrogen production was proposed with the aim of solving this problem.Firstly,the evaluation index model of peak-shaving capacity of electrolytic hydrogen was introduced and different types of electrolytic hydrogen peaking capacity were caculated.Meanwhile,an equivalent load disaggregation model based on coordinate distance minimization and wavelet transform techniques was constructed for matching different equivalent load components with different electrolytic hydrogen production systems.Subsequently,a multi-time scale peak-shaving scheduling scheme for different load components was proposed with the objective of improving the economics and effectiveness of peak-shaving.Finally,the validity of the proposed model was confirmed through simulations on the IEEE-30 node system.
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