Source network collaborative optimization planning method and system driven by virtual power plant operation mode

By standardizing and equivalent modeling the parameters of virtual power plants, and combining the characteristics of power grid operation trends and the changing patterns of distributed power sources, the model is dynamically corrected, trading qualifications are verified, and resource allocation is optimized. This solves the problem of insufficient model accuracy in the source-grid collaborative optimization planning of virtual power plants, and realizes the efficient and reliable operation of the power system.

CN121616009APending Publication Date: 2026-03-06STATE GRID SHANGHAI MUNICIPAL ELECTRIC POWER CO
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Patent Information

Application Number
CN202511782731.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-11-30
Publication Date
2026-03-06

AI Technical Summary

Technical Problem

Existing technologies in virtual power plant source-grid collaborative optimization planning lack systematic methods to handle physical parameters and scheduling cost parameters, leading to data anomalies and missing data. They cannot effectively map the correlation between parameters to the equivalent relationships of components, and fail to dynamically capture changes in the grid's operating status, resulting in insufficient model accuracy and difficulty in meeting the requirements for economic, safe, and flexible operation.

Method used

By normalizing the physical parameters and scheduling cost parameters of the virtual power plant to form a standardized parameter set, and mapping them to equivalent relationships between components, the trend characteristics of power grid operation status changes and the update rules of distributed power generation characteristics are extracted. The equivalent model is dynamically corrected, and the trading qualifications are determined based on the dispatchable capacity and response capability of the corrected model. The trading process is planned, the scheduling instructions are analyzed to evaluate the optimal allocation of resources, multi-objective comprehensive decision-making is carried out, and the optimized planning scheme is verified through simulation.

Benefits of technology

This improved the accuracy and feasibility of the model, ensuring the economic, safe, and flexible operation of the power system, achieving precise resource optimization and trading strategies, and guaranteeing the reliability of source-grid coordinated optimization planning.

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Abstract

The invention relates to the technical field of power systems, and discloses a source network collaborative optimization planning method and system driven by a virtual power plant operation mode, and the method comprises the steps: normalizing virtual power plant physical parameters and scheduling cost parameters, and mapping a component equivalence relation to obtain an equivalence model; power grid operation trend characteristics and distributed power supply characteristic change rules are extracted, and the model is dynamically corrected; according to the schedulable capacity and the response capability of the corrected model, checking the transaction qualification and planning the process to form an electricity market transaction strategy; analyzing the scheduling instruction, evaluating adjustable resources, and optimizing configuration to obtain a coordinated scheduling scheme; performing multi-target comprehensive decision on the coordinated optimization scheduling scheme to obtain a multi-target coordinated optimization planning scheme; constructing a test scene set of the virtual power plant through a simulation environment, verifying the actual operation effect of the multi-target collaborative optimization planning scheme according to the test scene set, and obtaining an empirical analysis conclusion; according to the invention, the efficiency of source-network collaborative optimization planning can be improved.
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