Visual management method and system for optical storage power station based on multi-energy data fusion

Through the visual management method of multi-energy data fusion, the intelligent management problem of multi-energy systems in different operating scenarios has been solved, the operation intelligence and management efficiency of photovoltaic power stations have been improved, and multi-energy collaborative optimization and efficient management have been achieved.

CN119834468BActive Publication Date: 2025-10-17INFORMATION & COMM COMPANY OF QINGHAI ELECTRIC POWER +1
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Patent Information

Application Number
CN202510016565.7
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-01-06
Publication Date
2025-10-17
Estimated Expiration
2045-01-06

AI Technical Summary

Technical Problem

Data fusion, collaborative optimization and intelligent management of multiple energy systems are difficult to carry out efficiently in different operating scenarios, resulting in low operational intelligence level and energy management efficiency of photovoltaic power stations.

Method used

A visual management method based on multi-energy data fusion is adopted. By collecting multi-energy heterogeneous data, synchronous alignment, cleaning and standardization are carried out, and a decomposition-based multi-objective evolutionary algorithm is used for modeling to generate multi-objective dynamic optimization results. The optimization target weights are dynamically adjusted according to scenario switching, and strategies for energy storage charging and discharging, power generation output and grid power interaction are generated. Finally, the system status is monitored in real time through visual processing.

Benefits of technology

It improves the intelligent operation level and energy management efficiency of photovoltaic power stations, reduces costs and operation and maintenance risks, realizes multi-energy collaborative optimization and efficient management, and provides reliable multi-energy scheduling and operation support.

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Abstract

The present application relates to a kind of based on multi-energy data fusion's light storage power station visual management method, it is characterized in that, include the following steps: S1: the multi-energy heterogeneous data of multi-energy system is collected;S2: and the multi-energy heterogeneous data of acquisition is preprocessed;S3: using the modeling based on decomposition multi-objective evolutionary algorithm, generates the dynamic optimization result of multi-objective;S4: the switching of different scenarios, dynamically adjusts optimization target weight;S5: according to optimization result generation energy storage charge-discharge, power generation power output and grid power interaction action strategy;S6: multi-dimensional data is carried out visual processing with optimization result.The present application effectively improves the intelligent level of operation of light storage power station and energy management efficiency.
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Citation Information

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