Application of Data Mining in Smart Grid Technology

Smart grid technology is a radical approach for improvisation in existing power grid. Some of the significant features of smart grid technology are bidirectional communication, AMI, SCADA, renewable integration, active consumer participation, distribution automation, and complete management of entire grid through wireless communication standards and technologies. Management of complex, hierarchical, and heterogeneous smart grid infrastructure requires data collection, storage, processing, analysis, retrieval, and communication for self-healing and complete automation. Data mining techniques can be an effective solution for smart grid operation and management. Data mining is a computational process for data analysis. Data scrutiny is unavoidable for unambiguous knowledge discovery as well as decision making practices. Data mining is inevitable for analysis of various statistics associated with power generation, distribution automation, data communications, billing, consumer participation, and fault diagnosis in smart power grid.

Research on the Architecture and Key Technology of Data Two-way Interactive Distribution Automation System

On the basis of analyzing and summarizing the current situation of the construction and use of distribution automation systems at home and abroad, according to the requirements of the use of distribution automation systems, a data two-way interactive distribution automation system architecture design is proposed. In response to the requirements for multi-source data collection in the distribution network, a distribution automation system architecture with partitioned collection and bidirectional data flow is proposed to improve the perception of distribution network equipment. Propose the self-recognition technology of power distribution system and terminal based on IEC61968 and IEC61850 model mapping to realize the fast access of power distribution terminal. Propose a grid integration modeling and global decision analysis method based on model splicing technology to realize multi-dimensional data fusion and analysis applications.

Research on Data Acquisition Technology of Distribution Automation Based on Internet of Things Communication Protocol

With the gradual application of the Internet of Things technology in the field of distribution automation, distribution terminals gradually adopt the Internet of Things protocol to communicate with the master station system of distribution automation. while the master station system of distribution automation supports the access of the traditional power dedicated protocol terminal, it faces how to solve the problem which how to access the distribution terminal of the network communication protocol. This paper proposes the MQTT protocol data acquisition architecture based on the existing master station system of distribution automation system. Through the research on the transmission characteristics of power distribution service data and MQTT protocol, the message structure of the MQTT protocol carrying power service data and the source maintenance process of the equipment model are designed., It realizes the direct collection of the terminal data of the distribution Internet of Things in an object-oriented way, gives full play to the value of the existing distribution master station, reduces investment costs, and saves system maintenance workload.

Approach for Provincial distribution automation system in Outage analysis

People’s lives are becoming more and more inseparable from electricity, and the requirements for the quality of power supply are getting higher and higher. Because of most of the faults in the power system originate from the distribution network, the need to standardize the management of power outages and improve the efficiency of research and judgment has become more and more significant. However, in China, the differences in the development of automation construction in various places and the outage information of different departments require that power outage business applications should try to achieve accurate analysis of outage information under different scenarios. This paper designs a power outage analysis approach, which comprehensively analyzes distribution network data such as substations, lines, and meters, and establishes a signal credibility image, which flexibly mines and analyzes outage events from multiple dimensions and effectively improves the fault tolerance of fault location.

Fabrication of Smart Storage and Dispensing Machine for Food Grains using Sensors

India is a country with a booming population and limited resources. 40 % of food grains are being wasted annually out of the world’s production due to factors like improper post-harvest management, lack of storage spaces, storage facilities, handling and distribution of food grains, etc. Thus an effective solution is required to bridge the gap between surplus production and hunger. The objective of our project is to develop methods for retaining the quality of food grains under a controlled environment for effective storage and distribution. Automation using sensors helps to prevent illegal racketing with data collection, monitor storage conditions like temperature and humidity levels, and eliminate man-to-man contact. When dispensed, the level and quantity of the grains can also be recorded. Thus, this machine is better than the existing manual methods of distribution as it acknowledges fair distribution and quality preservation. Keywords: Smart storage, proper distribution, sensors, post harvest losses, grain quality