Research on Flexibility Margin of Electric-Hydrogen Coupling Energy Block Based on Model Predictive Control
Zijiao Han, Shun Yuan, Yannan Dong, Shaohua Ma, Yudong Bian, Xinyu Mao

TL;DR
This paper develops a model predictive control-based method to quantify and optimize the operational flexibility margin of electric-hydrogen energy coupling systems, especially with high renewable energy integration.
Contribution
It introduces a homogenization model for heterogeneous energy sources and a new evaluation index for system flexibility margin, enabling online power balance optimization.
Findings
The proposed method effectively quantifies the flexibility margin.
It enables real-time power balance optimization.
The approach is validated through example analysis.
Abstract
Hydrogen energy plays an important role in the transformation of low-carbon energy, and electric hydrogen coupling will become a typical energy scenario. Aiming at the operation flexibility of low-carbon electricity hydrogen coupling system with high proportion of wind power and photovoltaic, this paper studies the flexibility margin of electricity hydrogen coupling energy block based on model predictive control (MPC). By analyzing the power exchange characteristics of heterogeneous energy, the homogenization models of various heterogeneous energy sources are established. According to the analysis of power system flexibility margin, three dimensions of flexibility margin evaluation indexes are defined from the dimension of system operation, and an electricity hydrogen coupling energy block scheduling model is established. The model predictive control algorithm is used to optimize the…
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