Distribution Intelligence is about seeing what is happening on the grid and and providing utilities with the tools to take action, as needed, to ensure the reliable and efficient delivery of energy in a dynamic environment. In a word, Gridstream will make your distribution system smarter. An increasingly intelligent grid that can model, control, and seamlessly optimize assets is required to manage supply and demand, adjust to two-way power flow from distributed generation, and ensure power quality remains high. Gridstream provides a combination of intelligent sensors, storage, communications and software technologies to get the job done.
- Outage and restoration management
- Distribution automation
- Distributed energy resource management
- Distribution grid visualization and optimization
- Energy storage
- Grid planning, monitoring and management
- Electric vehicle integration
- Demand and supply side management
Distribution Intelligence solutions enable utilities to model, operate and control their processes and assets in smarter ways.
Utility investments need clear priorities: boosting grid operational efficiency, solving future problems, and providing grid security and data privacy – all in accordance with local law and regulations. Distributed generation from renewables makes demand forecasting and distribution grid planning more important than ever. Transactive energy enablement, micro grid management, and asset lifecycle management become essential for grid resilience and reliability. In addition, utilities must prepare for the integration of low carbon technologies and the continuous improvement to power quality. Landis+Gyr’s Gridstream Distribution Intelligence solutions meet these needs, modeling, controlling and operating utilities distribution processes and assets in dynamic, intelligent ways. Our software offerings allow for utilities to easily take actionable decisions based on the input of their assets; big data. As a result, our utility customers can develop genuinely intelligent distribution grids.