WANG Jidong,TANG Haoyu,LIU Jianxin.Hybrid Model-data-driven Scheduling for Integrated Energy System Based on Carbon Emission Equivalent Reconstruction[J/OL].Automation of Electric Power Systems, http://dx.doi.org/10.7500/AEPS20251119001.
WANG Jidong,TANG Haoyu,LIU Jianxin.Hybrid Model-data-driven Scheduling for Integrated Energy System Based on Carbon Emission Equivalent Reconstruction[J/OL].Automation of Electric Power Systems, http://dx.doi.org/10.7500/AEPS20251119001.DOI:
Hybrid Model-data-driven Scheduling for Integrated Energy System Based on Carbon Emission Equivalent Reconstruction
the day-ahead carbon emission cost is equivalently reconstructed using carbon emission intensity as a bridge
so as to realize the intraday quantification of carbon emission cost. Then
a hybrid model-data-driven scheduling method is developed. Model-driven optimization is adopted for simple variables. And for variables with strong temporal coupling such as energy storage
an empirical library of optimal state of charge is trained offline based on historical data. In intraday dispatch
combined with intraday data
the Frobenius norm and structural similarity index are used to evaluate the similarity between current and historical data
and locally weighted kernel regression is applied to dynamically generate the reference trajectory of the state of charge
thereby achieving temporal decoupling. Finally
an adaptive updating mechanism of the carbon price coefficient is put forward to guarantee the engineering practicability of the proposed method. Simulation results demonstrate that the proposed method can effectively quantify carbon-green certificate linked transaction costs on the short intraday time scale and improve the accuracy and flexibility of intraday scheduling.
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