Today’s dynamic grid requires an equally dynamic approach to planning and operations. Nexant Grid360 Distribution Analytics (DA) is a rapidly deployable, web-based visualization, simulation, forecasting, and analytics platform designed to help large, medium, and small utilities manage the increasingly complex changes occurring at the grid edge. Grid360 DA provides system planners and operators with the ability to model the energy and economic impacts of all grid influencers—including demand response and energy efficiency programs, solar and wind generation, energy storage, electric vehicles, and microgrids in combination with Volt/VAR optimization programs—plan for and mitigate peak loading conditions, alert on and prevent predicted problems with voltage, loading, and unbalance, improve underlying network data quality, and improve situational awareness and system reliability.
Grid360 DA provides advanced applications for analytics and visualization:
Power Flow, State Estimation, Contingency Analysis: determine the current operating state of your distribution grid using AMI and/or SCADA data, discover and eliminate data/topology errors, and calculate system loading and voltage impacts of outages on conductors and transformers
Analysis of DR, DG, DER, EV, Improved Customer Service: evaluate the current and near-term energy and economic state of distribution grids including demand response (DR), distributed generation (DG - solar and wind, including smart inverters), distributed energy resources (DER - energy storage), electric vehicle (EV) charging stations, microgrids, Volt/VAR optimization (VVO) programs, and Grid Interconnection programs, improving customer service and reliability
Load Profiling, Short-Term, and Long-Term Load and DER Forecasting: create load profiles, develop short-term (days ahead) and long-term (months to years ahead) forecasts including DR, DG, DER, EV, and microgrids
Management of Independent Grids and Microgrids: manage independently owned commercial and industrial grids and microgrids
Advanced Data Quality and Reliability Analytics: analyze, validate, and improve transformer to meter assignment, phase assignment, sizing of devices and conductors, asset health indexes, prior outage causes and future outage prediction, and other data quality and reliability factors based on AMI and/or SCADA data and distribution network models