Open AccessBig Data Analysis Supports the Research and Pilot Application of Distribution Network Planning Technology
Author(s) -
Chen Jing,
Weiwei Shi,
Ye Liu,
Quan Chen,
Pingfa Huang,
Jiaying Li
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/632/4/042047
Subject(s) - big data , network resource planning , computer science , network planning and design , data quality , reliability (semiconductor) , plan (archaeology) , systems engineering , power (physics) , engineering , data mining , telecommunications , operations management , metric (unit) , physics , quantum mechanics , history , archaeology
The construction of the enterprise data center has met the automatic access of the massive data generated by the operation and management of the distribution network, and realized the integration and unification of the professional data of dispatching, operation inspection, and marketing, providing big data technology to support the planning and management of the distribution network The application of new technical conditions such as broadband carrier has greatly improved the authenticity, reliability and timeliness of big data in the distribution network. Through the design of distribution network monitoring and early warning, diagnosis management, quality assessment, portrait research, power outage optimization, load forecasting and other intelligent application models, the accurate processing of distribution data is realized, and the state of the distribution network can be accurately evaluated. Provide technical support for grid structure optimization. Based on this research background, papers, articles have studied and proposed big data-based distribution network planning, planning auxiliary decision-making system: Based on unified technical principles, a unified planning platform is adopted to realize unified project construction. Practice shows that the plan, the auxiliary decision-making system has improved the quality of planning scheme preparation, improved the review effect, and raised the lean level of investment decision-making.