A Two-Stage Robust Optimal Economic Scheduling Method for an Electricity-Hydrogen Coupled Microgrid with Local Hydrogen Sales

For the electricity-hydrogen coupled microgrid containing renewable energy, the uncertainty of renewable energy and load power prediction will lead to the weakening of the ability to resist intraday electricity market price fluctuations, which will increase the actual operating cost of the microgrid...

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Bibliographic Details
Published in2024 IEEE 7th International Electrical and Energy Conference (CIEEC) pp. 5278 - 5284
Main Authors Kong, Wei, Sun, Kai, Zhao, Jinghong, Xu, Jian, Yang, Xiaoping
Format Conference Proceeding
LanguageEnglish
Published IEEE 10.05.2024
Subjects
CCG algorithm
economic scheduling
Electricity
Electricity-hydrogen coupled microgrid
Fluctuations
Hydrogen
Microgrids
Optimal scheduling
Renewable energy sources
two-stage robust optimization
Uncertainty
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Summary:For the electricity-hydrogen coupled microgrid containing renewable energy, the uncertainty of renewable energy and load power prediction will lead to the weakening of the ability to resist intraday electricity market price fluctuations, which will increase the actual operating cost of the microgrid. In view of the above problems, this paper proposes a two-stage robust optimization economic scheduling model for electricity- hydrogen coupled microgrid. In the model, the time-of-use electricity price of the power grid and the hydrogen sales revenue of the microgrid are considered, and the uncertainty adjustment parameters of photovoltaic power generation and load power are introduced, which can flexibly adjust the conservatism of the scheduling scheme. Based on the column constraint generation (CCG) algorithm and the strong duality theory, the two-stage robust optimization problem is transformed into a mixed integer form of the main problem and the sub-problem to obtain the optimal solution of the original problem. Finally, under different prediction errors, the robust optimal scheduling model is simulated and compared with the deterministic economic optimal scheduling model. The larger the prediction error, the more significant the economy of the robust optimal scheduling scheme, which verifies that the two-stage robust optimal scheduling has stronger ability to resist intraday electricity market price fluctuations.
DOI:10.1109/CIEEC60922.2024.10583392