Examining the possibilities
Analysts can leverage data such as real-time asset count and weather factors, and then use smart grid analysis to optimize performance for connected devices in the field. Smart grid analysis is the key to controlling operating costs, improving network reliability, and providing personalized energy services to consumers.
Utilities are not new to data analytics in general, but smart web analytics allow for a more direct link between IT and OT – the ability to integrate analytical insights into operational systems, often for automated responses. Here are some areas where utilities are already seeing success:
Aid companies have modernized power plants and transformer stations by putting sensors on the main components, such as turbines and transformers, looking for vibrations or other deviations that could predict future failures. Duke Energy and other utilities claim that these asset analyzes have already paid off in large ways by preventing major power outages related to equipment.
Analytics makes it possible to track storm trails to a greater extent than ever. By incorporating third-party data, utilities can predict the potential impact of customer and infrastructure storms that support more proactive planning.
Technicians cannot be anywhere in a service area, so analysis must be their eyes in the field. For example, a technician may previously read remote meter meters once a month. But a serious condition, such as a methane build-up in a transformer, needs to be addressed now. Today, sensors pull real-time data for immediate identification of impending issues.
To take advantage of such technology, Duke Energy uses sync phasors in the transmission system to look for any interference that may indicate a voltage collapse or asset failure. Some tools are also beginning to look at the use of synchrophasor technology in the distribution system and capture early indicators of trees touching the lines, lightning or underperforming transformers.
Utilities around the world lose an estimated $ 89.3 billion a year in revenue from customers who do not pay their bills or who have tampered with meters to avoid fees. Smart web analytics can detect this theft and fraud.
About half of your bill each month is for fuel consumption; it is a review cost. When utilities manage fuel better, it has a big impact on your bill. Analytics help by supporting smarter device engagement decisions, power outage planning, fuel procurement, rate and regulatory factors.
Customer survey and analysis
Utilities today operate more like a service business as they seek to fill the gap left by reducing sales of kilowatt hours. Analytics drives the design of new products and services that enhance customer value.
A common theme among many use cases is the ability to analyze data at the edge. Calculation capability, once available on servers, has moved to routers and gateways – and what was previously available on routers and gateways is now happening on local devices and even the sensors themselves. Analytics is also moving on the edge. There is no need to backhaul the data for analysis; analytics can go to the data while still in motion.