Abstract: Control of power resources based on battery state of health (SoH) and operation metrics includes estimating a SoH of a particular battery using an end-of-life SOH value and a kWh warranty value from battery catalog data and a battery kWh from battery throughput data; estimating battery capacity using the estimated SoH and a rated battery capacity from the battery catalog data; and estimating an allowable monthly throughput using a month warranty value, the kWh warranty value, the battery kWh, and number of operating months. Dynamic discharge cost is calculated using battery replacement cost data, the kWh warranty value, and the battery kWh. An optimal dispatch for operating the particular battery can be determined considering battery degradation using the estimated battery capacity, the estimated allowable monthly throughput, and the dynamic discharge cost. Dispatch commands can be output according to the determined optimal dispatch.

Abstract: An engine system and methods for dispatching and controlling a plurality of distributed energy resources, e.g., a plurality of microgrids, involving: a server; a controller configured to operably couple with the server and the plurality of DERs; and at least one processor configured to operably couple with the server and the controller, the at least one processor configured to operate the server and the controller in an online mode and an offline mode, whereby at least one of forecast information and real-time information is providable, operational expense is reducible, and at least one new revenue generation avenue is establishable.

Abstract: A power controller uses a combination of dynamic state of charge limits, dynamic charge/ discharge rates, battery degradation cost and dynamic peak shave limits to identify the optimal set-points to optimally control load and generating sources while being independent of any external forecasting module. By utilizing these configurable parameters, a power controller provides optimal savings ensuring reliable and sustainable operation of a micro-grid.

Abstract: A thermal management system proactively provides cooling to powered components and/or the battery of an aircraft based on expected temperature rises of the components. The thermal management system may monitor maneuver commands input by a pilot and/or may monitor a flight plan including maneuver commands and associated trigger events to determine when to take proactive steps. The thermal management system may adjust a coolant flow rate and/or may adjust a refrigerant flow rate to increase or decrease the level of cooling provided to various components.

Abstract: A multi-layer architecture for control of distributed energy resources (DER) includes a forecasting and optimization system and one or more site-level controllers. The forecasting and optimization system generates predictions of optimal set points and communicate the optimal set points to a site-level controller. The site-level controller includes stored instructions that, when executed, direct the site-level controller to perform a boundary check and a real-time static economic dispatch, which can include steps of receiving optimal set points from the forecasting and optimization system; comparing received optimal set points with local conditions; outputting dispatch commands for DER control according to the optimal set points when the optimal set points are within appropriate limits with respect to the local conditions; and when the optimal set points exceed the appropriate limits, generating adjusted dispatch commands and outputting the adjusted dispatch commands for the DER control.