Providing Reliable, Renewable, Environmentally Safe and Cost-Competitive Energy

WRH Power Systems, an affiliate company of W.R. Henderson Construction, Inc., is dedicated to the research, development and commercialization of conventional and renewable energy technologies, including automated asset control systems, project simulation and design, and project enhancement for existing assets.

As energy generation transitions from large centralized to smaller local distributed generation systems, WRH Power Systems is addressing the growing global demand for decentralized, reliable, high-efficiency, low-carbon power using islanded and microgrid power systems to increase reliability and lower operating costs.

WRH Power Systems’ Approach to Power Generation

WRH Power Systems’ focus is on developing, building, owning and operating distributed, realiable, efficient conventional and renewable-based power systems in the Western United States, although it has power systems under management in the Caribbean Basin that have served and continue to serve as research and development sites.

WRH Power Systems has developed an Energy AI System™ to operate the various sites that it has under management. The Energy AI System™ is a supervisory system that monitors and controls power generation equipment in a grid or microgrid environment.  The Energy AI System™ uses data supplied by the complete power system to make resource usage decisions, resulting in increased reliability, incresed efficiency and lower overall operating costs for the power system.

WRH Power Systems’ Energy AI System™ is specifically designed for power grids and microgrids between 250 kW and 100 MW and above.  The algorithms implemented by the The Energy AI System™ are designed to minimize renewable power curtailment finding an optimal balance between energy storage, major grid assets, and where appropriate, grid-imported energy costs and grid-exported energy revenues. The Energy AI System™ is responsible for optimally managing the grid assets and controllable loads, and minimizes the need for operators to manage a power system grid or microgrid operation on a daily basis by automating energy flow decisions.