Intelligent Power and Energy Management
Integrating advanced algorithms with sophisticated control to provide optimized and intelligent hybrid power systems
Advanced power systems require intelligent energy command and control (IEC2) software to intelligently and dynamically interface with a diverse set of components. With intelligent management, energy can be used, stored or recycled in ways presently not possible in order to optimize the system for a variety of dynamic mission needs tailorable in real time by the user. IEC2 provides uninterruptable power surety for critical loads and, via existing communication links, provides prognostics as well. This allows preemptive maintenance to achieve maximum system availability. System security, health monitoring, hot swap and paralleling are capabilities enabled by IEC2 that cannot be satisfied by the generator sets and power distribution units currently used by the United States military.
Inputs to IEC2 total resource management include comprehensive near real-time and forecast weather data, mission profiles, and load profiles. By leveraging these external inputs and by providing continuous situational awareness monitoring, IEC2 manages the flow of energy between prime sources (e.g., fuel cells, solar arrays, wind turbines, power grids and generator sets); energy storage devices; and loads. IEC2 also includes safety, surety, fault, and catastrophic system anomaly handling and reporting.
Raytheon's IPEM Technology
Raytheon's intelligent power and energy management technology is a tool suite for the development of IEC2 for power systems. Illustrated in the figure below, its capabilities include system design and optimization, high-fidelity hardware modeling and simulation, development of autonomic command and control algorithms, and verification and validation for both functional and performance power system requirements. It also supports analysis of system design, technology trade studies, and evaluation of system configurations and the resulting impact on operations.
The IPEM tool suite employs a flexible and modular architecture/framework that allows for use with both legacy and new system designs. Leveraging scalable and configurable models from a library of proven algorithm and component models, IPEM enables rapid, low-cost design and development of power systems for applications ranging in size and complexity from small-scale, soldier-worn power systems to complex microgrids. Algorithm libraries include those required to support mission-critical control functions, secondary control and optimization functions, and prognostics for preventive maintenance. Optimization of the algorithms and system includes criteria such as generator efficiency, fuel usage, costs, load leveling, storage and distribution efficiency, and overall system performance to promote successful
IEC2 code is auto-generated from the IPEM algorithms and models, and ported to the host system's single-board computer, microcontroller or field programmable gate array. IEC2 takes advantage of the hardware sense-points in legacy, commercial and developmental systems, providing a level of control commensurate with the type of signals being sensed. The IEC2 algorithms allow for autonomous operation of the power system based on historical performance as well as prediction of generation and demand. The user can input a desired mission profile and the system will recommend, in real time, configurations to meet the profile. IEC2 can be ported to small sensors, handheld devices, mobile platforms, ships, large fixed installations, and more.
IPEM provides customer benefits that include expanded concepts of operation; a repeatable, low-cost and rigorous approach to power system design, optimization and analysis; and tactical code generation for IEC2. IPEM not only optimizes system performance, but provides our warfighters with increased operational capability and flexible solutions that continuously adapt the systems' operations to meet ever-changing mission requirements. Raytheon's deployable power solutions are beginning to benefit from IPEM — the ReGenerator is just one example.
Arlan Sheets, Ripal Goel,
Pete Morico, Michael K. Nolan