Distributed photovoltaic access capacity planning method, device, equipment and storage medium

By acquiring and predicting the load scenario data of distributed photovoltaics, combining access point setting information, and establishing planning objective functions, the problems of insufficient accuracy and efficiency of traditional planning methods are solved, and more efficient access capacity planning is achieved.

CN119742750APending Publication Date: 2025-04-01DALI POWER SUPPLY BUREAU YUNNAN POWER GRID
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Patent Information

Application Number
CN202411628565.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-14
Publication Date
2025-04-01

AI Technical Summary

Technical Problem

The traditional distributed photovoltaic access capacity planning method cannot describe the planning scenario in detail, resulting in insufficient planning accuracy and low efficiency.

Method used

By obtaining the multi-category load scenarios of distributed photovoltaics and historical load data under each load scenario, predicting load prediction data, combining the setting information of distributed photovoltaic access points, determining the annual average photovoltaic income, annual network loss of distribution network and annual average voltage deviation loss of distribution network, establishing an overall planning objective function, and planning according to preset constraints.

Benefits of technology

The accuracy and efficiency of distributed photovoltaic access capacity planning are improved, the planning scenarios are described in detail, the number of iterations is reduced, and the computing efficiency is improved.

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Abstract

The present application discloses a method, device, equipment and storage medium for access capacity planning of distributed photovoltaics, the method comprising: obtaining multiple types of load scenarios of distributed photovoltaics and historical load data under each type of load scenario; predicting load forecast data under corresponding load scenarios based on historical load data; obtaining setting information of distributed photovoltaic access points; determining annual average photovoltaic revenue, annual network loss of distribution network and annual average voltage deviation loss of distribution network based on setting information and load forecast data under multiple types of load scenarios; establishing an overall planning objective function based on annual average photovoltaic revenue, annual network loss of distribution network and annual average voltage deviation loss of distribution network; planning the access capacity of distributed photovoltaics according to preset constraints and overall planning objective function. The present application describes the planning scenarios in detail, reduces the number of iterations and improves computational efficiency, thereby improving the accuracy and efficiency of access capacity planning of distributed photovoltaics.
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