Method and system for evaluating new energy utilization rate of power system based on artificial intelligence

By constructing mathematical models and agent neural network models, the agent is generated to calculate the new energy utilization rate of the new energy power system, the problem of low efficiency in the assessment of new energy consumption capacity in the existing technology is solved, and rapid and accurate assessment and improvement of new energy consumption capacity is achieved.

CN119692597APending Publication Date: 2025-03-25CHINA ELECTRIC POWER RESEARCH INSTITUTE CO LTD +1
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Patent Information

Application Number
CN202411684490.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-22
Publication Date
2025-03-25

AI Technical Summary

Technical Problem

The existing technology is difficult to effectively evaluate the new energy consumption capacity in new energy power systems, and the simulation computing efficiency is low, which cannot meet the multi-scenario evaluation needs in a short period of time.

Method used

Using an artificial intelligence-based method, through the construction of mathematical models, Markov decision-making process modeling and agent neural network model, agents are generated to calculate the new energy utilization rate of the new energy power system.

Benefits of technology

It has achieved rapid and accurate assessment of the new energy utilization rate of the new energy power system, improved the calculation speed of the new energy consumption capacity, and met the assessment needs of the medium and long-term new energy consumption capacity of the provincial power grid.

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Abstract

The invention discloses a method and system for evaluating the new energy utilization rate of a power system based on artificial intelligence, and belongs to the technical field of optimal dispatching operation of a new energy power system. The method comprises the following steps: constructing a mathematical model for simulating the operating environment of the new energy power system according to the operating characteristics of various power supplies and power grids of the new energy power system; based on the mathematical model, performing Markov decision process modeling on the unit start-stop action process of the conventional unit of the new energy power system; constructing an intelligent agent neural network model based on a Markov decision process modeling result; training the intelligent agent neural network model to generate an intelligent agent; and calculating the new energy utilization rate of the new energy power system by using the intelligent agent. According to the method, the new energy utilization rate of the new energy power system can be effectively evaluated through the intelligent agent.
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