A5048076562- Power Systems and Technologies
- Big Data Technologies and Applications
- Technology and Security Systems
- 3D Modeling in Geospatial Applications
- Advanced Data and IoT Technologies
- Smart Grid and Power Systems
- Evaluation Methods in Various Fields
- Microgrid Control and Optimization
- Power Systems Fault Detection
- Islanding Detection in Power Systems
- Optimal Power Flow Distribution
- Evaluation and Optimization Models
China Southern Power Grid (China)
2021-2022
In order to improve the risk management and control methods of distribution network safe reliable operation, according influencing factors re-tripping harm degree power outages, firstly, machine learning algorithm is used predict possibility tripping, then combined with analytic hierarchy process determine The weight each factor calculated obtain probability under effect different factors. Then, by calculating value outage hazard on lines, quantified using definition quantification. Finally,...
In order to solve problems of computer delay and low information batch storage load the intelligent distribution network system, a machine learning-based monitoring processing method is proposed. The uses HDFS distributed file system measure data transmission records, builds scheduling cluster, latency fills time with response task. It plans mode interface, divides large-scale flow calculation learning, model. increases counts accumulation nodes, expands develop learning path analysis...
In order to build a real-time intelligent analysis rule base of distribution network monitoring information, construction method information based on machine learning is proposed. All the heads in are sorted and set as main chain, rules imported into linked list generate set, so ensure that each packet has an rule; fault data classification used identify network, extract frequent item sets data. The parallel incremental updating algorithm association MapReduce update based, performance base....
In order to improve the intelligent distribution effect of network in presence distributed generation, this study combines algorithms analyze generation. Moreover, establishes an objective function composed system loss expectation, voltage stability index, and reactive power compensation equipment investment. addition, improves artificial bee colony algorithm through tabu search genetic obtains improved TS-IABC algorithm. Finally, compares tests performance different form functions...
Abstract As the current distribution network power equipment cannot realize visualization of spatial data, retrieval accuracy bad data decreases. Therefore, an automatic algorithm for intelligent is proposed. The smart collected and geographic information science (GIS) technology used to visualization. On this basis, real-time operating in network, according collection results operation mechanism it can be identified whether there are retrieved. Through display GIS interface, distance...