Business expansion deduction power supply scheme generation method considering new energy access

By constructing a dynamic digital twin model and using an improved CODAS evaluation method, power supply schemes are automatically generated, solving the problems of low design efficiency and insufficient risk identification in business expansion applications, and achieving efficient and safe power supply scheme generation.

CN121749385APending Publication Date: 2026-03-27GUANGDONG POWER GRID CO LTD DONGGUAN POWER SUPPLY BUREAU
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-12-29
Publication Date
2026-03-27

AI Technical Summary

Technical Problem

Existing technologies lack systematic quantitative analysis methods, resulting in low design efficiency of power supply schemes for business expansion applications, which can easily lead to grid operation risks. Furthermore, the lack of a multi-dimensional indicator evaluation system makes it difficult to select the optimal comprehensive access scheme.

Method used

A dynamic digital twin model is constructed to automatically generate multiple alternative power supply schemes. These schemes are then simulated and selected. Combined with the improved CODAS comprehensive evaluation method, multi-dimensional index evaluation and scheme ranking are achieved.

Benefits of technology

It significantly improves the efficiency of power supply scheme design, enables early identification and avoidance of power grid risks, ensures the safety and reliability of power supply schemes, and enhances the scientific nature of decision-making.

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Abstract

The invention discloses a power supply scheme generation method for business expansion deduction considering new energy access, and belongs to the technical field of power system automation. The method aims at solving the problems that existing business expansion scheme generation depends on artificial experience, quantitative analysis of potential risks after new energy access is lacked, and a scientific multi-dimensional scheme evaluation system is lacked. According to the technical scheme, the method is characterized in that a digital twin power distribution network model with a new energy prediction function is constructed; automatically generating a plurality of alternative power supply schemes based on customer demands and power grid constraints; dynamic power flow simulation is carried out under various typical working conditions, and qualified schemes are screened; extracting multi-dimensional evaluation indexes of power supply reliability, electric energy quality, economy and new energy friendliness; and comprehensively evaluating and sorting the schemes by adopting an improved CODAS method, and automatically outputting a recommended scheme. According to the invention, automatic generation, risk pre-judgment and scientific optimization of the business expansion power supply scheme are realized.
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