ABB Ability™ for Virtual Power Plants (VPP)
Provide central control and optimization for one of the largest virtual power plants with more than 2,800 distributed units.
Reliability is a core deliverable for the industry, which is challenged by the variability of renewable supply, the diversification of consumer and business demand and, as anyone in America’s Midwest will tell you, springtime storms. Better modeling, and modeling that gets better over time, can have implications not only for service uptime, but also for cost management.
A Virtual Power Plant (VPP) collects units under a central control system. Almost all power generation and storage technologies can be part of a VPP including biogas, biomass, combined heat and power (CHP), wind, solar, hydro, diesel and fossil-fired plants.
Customer and industry need
Power plants gain a competitive advantage with unit load schedules that minimize the deviation with the nominated overall schedule. This means not only better planning tools, but also the capacity to customize the scale of the modeling to best reflect a particular plant’s business resources and needs.
ABB Ability™ solutions
ABB Ability solutions for utilities control and optimize virtual power plants and correlate optimized day-ahead load schedules with updated actual load schedules of the units, forecast deviations, intra-day trading of free capacity, and disturbances/downtimes for each Balance Group in the district. The system architecture is scalable, from a few up to many thousands of units and customers can implement their own business model. It provides real-time optimization of set points and provision of balancing power while considering current system constraints and ramp speeds.
The solution handles real-time processing of large signal and data sets. It manages optimal unit commitment and control of assets in one step.
ABB and ABB Ability portfolio highlights:
ABB Ability™ solutions for utilities allow better prices for produced energy on the spot and derivatives markets, as well as optimized internal production. They also enable a lower cost of energy compensation and an improved fulfillment of the nominated load schedule. Balancing the infeed of renewables before balancing costs are generated is also made possible.