Distributionally robust optimization method and apparatus for electric-hydrogen-thermal integrated energy system

By separating the power grid, hydrogen grid and thermal grid systems in the integrated electric-hydrogen-thermal energy system, and using the distributed robust optimization model and alternating direction multiplier method for interactive iterative solutions, the problems of renewable energy uncertainty and individual benefits in the system are solved, and the operating economy and reliability of the system are improved.

WO2025076870A1 Publication Date: 2025-04-17ELECTRIC POWER RES INST OF STATE GRID ZHEJIANG ELECTRIC POWER COMAPNY
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Patent Information

Application Number
PCT/CN2023/127746
Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
Priority Date
2023-10-13
Filing Date
2023-10-30
Publication Date
2025-04-17

AI Technical Summary

Technical Problem

The prior art is difficult to effectively deal with the uncertainty of renewable energy in an integrated electric-hydrogen-thermal energy system and fails to consider the individual benefits of different energy operators, resulting in the scheduling strategy being too conservative or radical.

Method used

The distribution robust optimization model based on data is adopted, which is divided into three main bodies: power grid system, hydrogen network system and thermal network system. The scheduling schemes of each main body are solved in parallel through the alternating direction multiplier method, and a multi-subject optimization scheduling model is established to improve the operating economy and reliability of the system.

Benefits of technology

It realizes that while improving the operational economy and reliability of the interconnected system, it protects the privacy of the information of each subject, making the scheduling of the electricity-hydrogen-thermal comprehensive energy system more practical.

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Abstract

A distributionally robust optimization method and apparatus for an electric-hydrogen-thermal integrated energy system, relating to the field of power system optimization operation. The method comprises: establishing a multi-agent optimization scheduling model of an electric-hydrogen-thermal integrated energy system; using a data driving-based distributionally robust optimization model to describe the source-load bilateral uncertainty of a power grid system agent optimization scheduling model, establishing a three-layer two-stage power balance model of a power grid system, and using a column and constraint generation algorithm for solving; and using an alternating direction method of multipliers to alternately iterate the three-layer two-stage power balance model of the power grid system, a hydrogen network system agent optimization scheduling model, and a heat network system agent optimization scheduling model, to realize distributed parallel solving of the multi-agent optimization scheduling model of the electric-hydrogen-thermal integrated energy system. Compared with the prior art, each agent scheduling scheme is solved by means of interactive iteration in the present method, thereby protecting the information privacy of each agent while improving the operation economy and reliability of an interconnected power grid.
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