Distributed Energy Controls
A leading-edge energy Hardware and Software ecosystem making Distributed Energy Resources easier to manage and control
Built on years of scientific research and experience in optimization of energy systemsLearn More
Proprietary optimization platform for superior cost-effective projectsLearn More
Proprietary AI algorithms used in our Dynamic Grid products for world-class energy distribution systemsLearn More
Whether you are a small community looking to build a microgrid or a homeowner interested in storage, contact us, we’d love to share our knowledge with you!Contact Us
Dynamic Grid uses its experience in modeling and simulation in combination with an in-house designed optimization engine powered by artificial intelligence to model not only the engineering performance of the projects but also the financial performance over the entire lifetime of the assets being deployed.
Using detailed models of a range of equipment that can be installed into a microgrid, Dynamic Grid explores a wide range of possible configurations in order to identify the optimal configuration that makes the project the most cost-effective in both capital expense (CAPEX) and operating expense (OPEX) and consequently lowering the cost of power to the consumer.
As an example, in our Isle au Haut microgrid project over a 20-year time horizon Isle au Haut’s utility and its customers will an 8-cent reduction (in real terms) in the delivered price of power.
Built upon years of Department of Energy sponsored research and experience with complex systems in the Department of Defense. The optimization algorithms search and explore a very wide state space of design possibilities to determine the best performing solution that meet both the engineering and financial requirements of the project. The multi-objective optimization algorithms use multiple machine learning (ML) methods to efficiently search state space and calculate the optimum configuration.
This exploration optimizes the project to make it the most cost-effective in both capital expense (CAPEX) and operating expense (OPEX) lowering the cost of power to the consumer.
Dynamic Grid has spent years in Research and Development to produce the best machine learning algorithms. We use proprietary Adaptive Dynamic Programing (ADP) family of algorithms that learn in real-time how the system is performing in order to continue to improve the performance of the system. These algorithms work within a Transactive Energy network where our products receive and redefines an Economic Dispatch Value which represents the real-time value of energy at each point in the grid. This enable the entire system to be optimized in a decentralized manner.
When our Transactive Energy (TE) control products are added to a microgrid or utility distribution grid; there is an increase in energy efficiency, renewable energy utilization and better peak shaving. In certain applications, like Isle au Haut, significant cost reductions and carbon dioxide reductions can be achieved with very high renewable penetration (microgrids aiming for above 70% renewable generation).
Our Dynamic Grid Ecosystem of Products
Dynamic Microgrid Controllers
Microgrids are very dynamic in nature and have very little inertia, our microgrid controller manages the microgrid systems to manage loads, generation, and invertors to deliver a stable system that meets the microgrids design characteristics.
Dynamic Grid Gateways
Our gateways transmit the Economic Dispatch Value (EDV) throughout the grid to signal the edge devices to self-control their behavior in response to the EDV variance.
Dynamic Edge Device Controllers
The edge controller is the console in the building that displays the status of actively connected edge devices such as hot water tanks, heat pumps, oil tanks, etc. It acts as a conduit for control setting from the house gateway to the edge devices.
Dynamic Energy Storage Supervisory Controllers
Our Energy Storage System (ESS) energy storage controller takes information about the ESS as well as various other data (solar power, grid pricing etc.) and sends signals to the ESS and other devices/loads to influence whether the energy storage device is storing energy or delivering energy to the grid.