On July 17, Jiangsu Linyang Energy Co., Ltd. won the bid for the first bidding package of single-phase load Monitoring electricity meters in the third batch of material public bidding announcement from State Grid Jiangsu Electric Power Co., Ltd., which is also the first batch bidding of State Grid’s non-interventional load Monitoring smart meter project.
Now, you might ask, what is “non-intrusive load Monitoring “? The Nonintrusive Load Monitoring – NILM technology is one of the important Ubiquitous power Internet of things technologies. It obtains the load data (voltage, current) at the input line, using pattern recognition algorithm by analyzing the Load characteristics of steady state and transient, decomposing users’ load composition and identifying the end of the grid electricity situation, so as to realize the recognition of the type of client side load monitoring and used energy. For example, the technology can sense in real time what kind of load a user is using for air conditioning, refrigerators, washing machines, electric heaters, lighting and the intensity of each type of load.
This technology has been combined with smart electricity meters. By using the measurement data resources of smart electricity meter, the load analysis module built in the electricity meter can realize the information perception of various electrical load working state, energy consumption level and other information, and cooperate with the electricity information collection system and its main station software to complete the information interaction with power users. Relevant operational data will guide users to use electricity scientifically and efficiently, and support metering derivative value-added services, ubiquitous power Internet of things construction and government macro decisions. Jiangsu electric science college in recent years has build up non-interventional Load Monitoring technology research team, has launched a pilot research and engineering application and becomes the business partner of State Grid Jiangsu electric science college.
In the strategic planning of the Marketing Department of state grid corporation of China, the construction of the client ubiquitous power Internet of things is an important measure to implement the goal of the company’s “world-class energy Internet enterprise”, and an effective means to promote the safe operation, lean management, precise investment and high-quality service of the power grid. At present, the State Grid has connected 480 million smart electricity meters and 40 million electricity information collection terminals, which is the basic data source for various services such as electricity metering, breakdown repair, power trading, customer service, distribution network operation and power quality monitoring. Among the 9 technologies, which are widely used in the construction of Ubiquitous power Internet of things technologies, non-interventional Load Monitoring is one of the key technologies of innovation. This technology can be deeply combined with the artificial intelligence technology in the future and can be fully excavates in the power system in load data, applied to the client side efficiency, demand response, wisdom, power, safe, intelligent household and the intelligence community, for all walks of life and the government’s macro policy to provide first-hand data support and value-added services. Therefore, the industry is quite prosperous.
As a highly competitive enterprise in the global smart electricity meter and electricity information collection industry, Linyang Energy has been devoting itself to research in the field of intelligent electricity technology and has accumulated many years of non-interventional load monitoring technology. At present, Linyang Energy distributed deeply in the strategic direction of the power Internet of things, actively expanding and innovating in the field of massive intelligent sensing equipment, edge computing terminal and intelligent distribution in the grid, and is committed to becoming the leader in the field of products and solutions of energy Internet of things.
