Design of Information-Sharing Software for Distribution Network Setting Calculation Considering Distributed Renewable Energy
Power system automation procedures simplify the solution of load forecasting and distribution protection problems in traditional grid systems. However, the integration of new energy has a structural impact on the operation of the traditional power grid, so it is supposed to change the constraint rules of the existing power distribution network, process and share the information of the diversified factors of the actual power supply and demand so as to improve the development level of the traditional power distribution network. The distribution information sharing system developed in this paper adds visual application components and a behavioral semantic setting calculation model. The visual component of the application program is used to write the calling algorithm of the setting calculation in computer language, and the object-oriented logical structure is constructed to design each information relationship to reduce the redundancy problem in the code. Through the experimental analysis, we conclude that the system designed in this paper is much better than the traditional control strategy in the power distribution control capability, and the calculation accuracy of the model is 16.5% higher than that of LSTM, which proves that the research results in this paper have high market application value and can provide stable and reliable technical support for power distribution.
Authors
- Feng Wang (ORCID: https://orcid.org/0000-0001-5066-0080)
- Quanchao Zheng
- Wei Liu (ORCID: https://orcid.org/0000-0003-4381-340X)
- Jia Zhu (ORCID: https://orcid.org/0000-0002-7394-8631)
- Tianyu Liang (ORCID: https://orcid.org/0000-0002-1317-8030)
- Jiangang Lu
Institutions
- Akita Industrial Technology Center (JP)
- China Southern Power Grid (China) (CN)
- Power Grid Corporation (India) (IN)
Publication Details
- Published
- 2025-05-23
- DOI
- https://doi.org/10.1109/ecie65947.2025.11087098
- Primary Topic
- Power Systems and Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00