23 rd International Conference on Electricity Distribution Lyon, 15-18 June 2015 Paper 0556 CIRED 2015 1/5 Research of Smart Distribution Network Big Data Model Guangyi LIU Yang YU Feng GAO Wendong ZHU China Electric Power Stanford Smart Grid Research Institute Smart Grid Research Institute Research Institute University North America North America liuguangyi@epri.sgcc.com.cn yangyu1@stanford.edu feng.gao@ieee.org Wending.zhu@gmail.com ABSTRACT In this research, we tease out three rules of the big data for the electricity sector and induce a systematic criteria framework for building and evaluating data models for supporting the electricity-system big data. On the basis of the three rules, we induce a criteria system, which contains five types of criteria, to building a data model or evaluate the performance of an existing data model to facilitate the electricity-system big data. We then build a big-data model for Chinese electricity system according to the criteria system. In order to satisfy the requirements of the criteria, we choose CIM model to unify the protocol of data collection and communication. We also explore a data-classification policy to functionally structure the data and maintain their spatial and sequential relations. Finally, we suggest a framework to integrate the database into a platform by using multiple data-storage and data-communication technologies. INTRODUCTION Even though the current development of data-mining technologies provides opportunities for big-data analysis for the power system, the lack of a utility unified data model blocks the efficient data integration and module deployment [1]. This research therefore builds an experimental big-data model to explore the mechanism for framing the big data to support the real-time operation and adaptive innovation of the smart distribution network [3]. The big-data use for the smart distribution network faces to a sequence of challenges differing from its use in other system; therefore the experimental data model is designed aiming to explore the solutions for these challenges. One main challenge is that the data gathered from the smart distribution network has complicate logic structures, multiple sources, and large volumes [4]. Therefore, any single database technology is insufficient to support the big data analysis in the electricity system. In addition, because of the lack of understanding for use of the data, the data model must comprehensively and smartly keep all the information about facilities, market participants, and relations connecting them [3]. Furthermore, the data model must support the development of the intellectual and interactive visualized operation system [3]. 2 CRITERIA SYSTEM FOR BUILDING AND EVALUATING AN ELECTRIC SYSTEM DATA MODEL 2.1Three rules of building a big data system for electric power system In this section we tease out three rules for building a big data system for electric power system, which is supported by an electric system data model. Therefore, an effective electric system data model must be designed to comprehensively facilitate the functionalization of the three rules. The three rules for building a big data system for electric power system are 1. Comprehensive: the system should appropriately store, process, and communicate all available data and information and integrate all available tools and interfaces for data analyses。 2. Adaptive and dynamic: the system should be adaptively organized, dynamic innovated, and function-based structured to support all kinds of dynamic data process and analyses. 3. Distributed and multi-layered: the system should be multi-layered; and each layer or knot need to be, to some extent, intelligent, such that the data and information can be effectively processed and analyzed in appropriate layer or knot on the system. The three rules are different from the rules for a big-data system in other field because of the electricity systems’ particular physical characteristics and operational requirements. We summarize these three rules by embedded the characteristic of a big data system into considerations of electric system operation. In particularly, we would like to emphasize that the three rules listed above are for the building of a smart-grid system. A smart-grid system, which is a decentralized system equipped with intelligent processing and communicating facilities at multi layers in the system, is an integrated platform to support the utilization of integrated distributed renewable-energy sources, smart meters, and the technologies of demand-side response.