Addressing Challenges with Real-Time Distributed Data Shared Across the Grid

Ensure the Successful Integration of Renewable Resources while Maintaining Stability and Optimizing Grid Management
White Paper Tue 31 Jul 2018

The growing use of renewable energy is providing new opportunities for energy users to reduce carbon footprint and energy costs. However, the unpredictability of solar, wind, and other renewables makes it
difficult to maintain stability and optimize grid management.

The key to ensuring the successful integration of renewable resources may lie in the availability of realtime series data collected from distributed data points, often described as the Internet of Things (IoT). But the huge amount of data collected from these data points operating at the edge of the grid must be processed, and a number of different formats in use must be smoothly integrated; the lack of data granularity and existing data silos presents additional challenges.

To address these edge-of-the-grid issues a new community of energy suppliers, service providers, storage vendors, software suppliers, and electric vehicle (EV) charging platforms are offering distributed real-time data using an IoT model that can help utilities, independent system operators (ISOs),and large commercial and industrial energy users to work together to optimize web operations.

OSIsoft’s PI System is used by many utilities to collect, manage, and analyze data for transmission and distribution groups. Through new business models, OSIsoft has made it possible for innovators to also use the PI System as an IoT platform that collects, stores, analyzes, and visualizes real-time sensor-based data from the grid edge, which can be used by the centralized grid to optimize the uninterrupted availability of energy resources. The following are three examples of the PI System being put to work in innovative, edge-of-the-grid applications.