Electric-thermal integrated energy system multi-objective optimization scheduling method considering virtual energy storage of heat supply network

By considering the virtual energy storage characteristics of the thermal network and the uncertainty of wind power generation in the electric-thermal integrated energy system, a multi-objective optimization scheduling model is built, and the bilinear Benders decomposition method and normal boundary crossing method are used for solution, the problem of inability to effectively optimize the electric-thermal integrated energy system in the existing technology is solved, and multi-objective optimization scheduling is achieved with economical, low-carbon and high energy efficiency.

CN119670919AInactive Publication Date: 2025-03-21STATE GRID ZHEJIANG ELECTRIC POWER CO LTD JIAXING POWER SUPPLY CO
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Patent Information

Application Number
CN202311089802.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2023-08-28
Publication Date
2025-03-21
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

The existing technology fails to effectively consider the virtual energy storage characteristics of the thermal network in the integrated electric-thermal energy system, resulting in the inability to effectively solve the problem of flexible resource planning, allocation and operation optimization of the system, and the inability to take into account the multi-objective optimization of economic, low-carbon and energy efficiency.

Method used

By establishing an electric-thermal integrated energy system structure including distribution networks and regional thermal networks, considering the uncertainty of wind power generation and virtual energy storage characteristics of thermal networks, setting up joint opportunity constraints, building a multi-objective optimization scheduling model, and using bilinear Benders decomposition method and normal boundary crossing method for solution.

Benefits of technology

The economical, low-carbon and high-energy efficiency of the integrated electric-thermal energy system has been achieved, and the flexibility of the system has been improved to ensure the reliable operation of the system under various operation requirements.

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Abstract

The invention discloses an electric-thermal integrated energy system multi-objective optimization scheduling method considering heat supply network virtual energy storage, and belongs to the technical field of electric power natural gas systems. The method comprises the following steps: establishing a system structure, establishing a model to represent the energy conversion and circulation process of the system, considering the uncertainty of wind photovoltaic power generation and the virtual energy storage characteristic of a heat supply network, setting a joint opportunity constraint, constructing a system optimization scheduling model, and setting a system optimization scheduling target considering economic-low carbon-high energy efficiency operation indexes. A system target optimization scheduling problem is divided into a pre-scheduling problem and a rescheduling problem, joint opportunity constraints are converted into bilinear terms, the pre-scheduling problem and the rescheduling problem are solved by adopting a bilinear decomposition method, a parallel framework supporting distributed calculation is constructed, the rescheduling problem of each scene is calculated at the same time, and the optimal scheduling problem of each scene is solved. A multi-objective optimization scheduling problem is solved by adopting a normal boundary crossing method to obtain a Pareto leading edge surface, so that the potential problems of flexible resource planning configuration and operation optimization of the system are effectively solved.
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