Multi-source collaborative optimization method, device and equipment for power distribution network and storage medium

Through the multi-source collaborative optimization method, the energy value and unit electricity price of the power supply microgrid are obtained and grouped, and the objective function is optimized to select the target power supply microgrid and switching time, which solves the problems of poor stability and frequent power supply switching in the distribution network failure, achieving a reduction in economic consumption and an improvement in power supply stability.

CN119726649AActive Publication Date: 2025-03-28YUNNAN POWER GRID CO LTD LINCANG POWER SUPPLY BUREAU
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Patent Information

Application Number
CN202411685014.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-22
Publication Date
2025-03-28
Estimated Expiration
2044-11-22

AI Technical Summary

Technical Problem

In the case of power distribution network failure in the prior art, the multi-microgrid active collaborative control method has problems such as poor stability and frequent power supply switching, and it has failed to effectively take into account the differences in electricity prices and reserves.

Method used

A multi-source collaborative optimization method is proposed. By obtaining the energy values ​​and unit electricity prices of multiple power supply microgrids, grouping and optimizing the solution of the objective function, selecting the target power supply microgrid and switching time, and setting the power supply program to stabilize power supply.

Benefits of technology

It reduces economic consumption in the event of distribution network failure, improves the coordinated stability of microgrid power supply, and provides an ideal power supply solution that takes into account both economic consumption and power supply stability.

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Abstract

The invention relates to the technical field of artificial intelligence, and discloses a multi-source collaborative optimization method, device and equipment for a power distribution network and a storage medium, and the method comprises the steps: obtaining a plurality of power supply micro-grids, dividing the power supply micro-grids into a plurality of power supply micro-grid groups, selecting a target power supply micro-grid from the power supply micro-grid groups, obtaining the parameters of the target power supply micro-grid, and building a target function; and calculating the selected target power supply micro-grid and the corresponding power supply switching time through a swarm optimization intelligent algorithm. The method has the beneficial effects that the economic consumption when the whole power distribution network crosses the fault is reduced, and the micro-grid power supply cooperative stability is improved, so that an ideal power supply scheme can be intelligently provided after the specified power distribution network has the fault, and the economic consumption and the power supply stability are both considered.
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