Wayne Weaver received a B.S. in Electrical Engineering and a B.S. in Mechanical Engineering from GMI Engineering and Management Institute (now Kettering University) in 1997. He received his MS and PhD in Electrical Engineering from the University of Illinois at Urbana-Champaign in 2004 and 2007 respectively. He was a research engineer for Caterpillar Inc., Peoria Illinois from 1997 to 2003 and has also held positions with the Army Corp of Engineers, Engineering Research Labs in Champaign Illinois. He is currently a Professor, Associate Department Chair, and Director of Graduate Studies in the Mechanical Engineering – Engineering Mechanics department at Michigan Technological University.
Wayne Weaver received a B.S. in Electrical Engineering and a B.S. in Mechanical Engineering from GMI Engineering and Management Institute (now Kettering University) in 1997. He received his MS and PhD in Electrical Engineering from the University of Illinois at Urbana-Champaign in 2004 and 2007 respectively. He was a research engineer for Caterpillar Inc., Peoria Illinois from 1997 to 2003 and has also held positions with the Army Corp of Engineers, Engineering Research Labs in Champaign Illinois. He is currently a Professor, Associate Department Chair, and Director of Graduate Studies in the Mechanical Engineering – Engineering Mechanics department at Michigan Technological University.
Wayne Weaver received a B.S. in Electrical Engineering and a B.S. in Mechanical Engineering from GMI Engineering and Management Institute (now Kettering University) in 1997. He received his MS and PhD in Electrical Engineering from the University of Illinois at Urbana-Champaign in 2004 and 2007 respectively. He was a research engineer for Caterpillar Inc., Peoria Illinois from 1997 to 2003 and has also held positions with the Army Corp of Engineers, Engineering Research Labs in Champaign Illinois. He is currently a Professor, Associate Department Chair, and Director of Graduate Studies in the Mechanical Engineering – Engineering Mechanics department at Michigan Technological University.
Wayne Weaver received a B.S. in Electrical Engineering and a B.S. in Mechanical Engineering from GMI Engineering and Management Institute (now Kettering University) in 1997. He received his MS and PhD in Electrical Engineering from the University of Illinois at Urbana-Champaign in 2004 and 2007 respectively. He was a research engineer for Caterpillar Inc., Peoria Illinois from 1997 to 2003 and has also held positions with the Army Corp of Engineers, Engineering Research Labs in Champaign Illinois. He is currently a Professor, Associate Department Chair, and Director of Graduate Studies in the Mechanical Engineering – Engineering Mechanics department at Michigan Technological University.
A Lunar DC microgrid (LDCMG) will be the backbone of future lunar missions’ energy distribution, storage, and utilization infrastructure. The success of the missions will be heavily reliant on the LDCMG’s energy management, of which energy storage systems (ESS) are critical components. Current practice for standard system design relies on rule-of-thumb techniques that may only consider local power balance requirements. The Hamiltonian surface shaping and power flow control (HSSPFC) methodology is an alternative method for analyzing the LDCMG power distribution network and ESS design. In this paper, the HSSPFC method will be used to establish an optimized distributed control infrastructure and as a design tool to derive the ideal baseline ESS requirements. For example, if a load and source profile is known with the DC bus voltage given a specified constraint, and the supervisory control system update rate is given, then HSSPFC can generate a set of performance requirements for the ESS. The ESS requirements can include: physical locations, total energy storage capacity, maximum power sourced (or sinked), as well as the frequency response bandwidth of the ideal device. This paper will present the HSSPFC application to the LDCMG, demonstrating the ideal ESS requirements for a conceptual system design under a selected operating scenario. The full paper details how to fit existing ESS technologies (including batteries of various chemistries, super-capacitors, flywheels, and hydrogen fuel cells) to help meet the ideal requirements. In addition, the performance trade-offs for a sub-ideal ESS design will be presented. For example, when the size and weight of the ideal implementation are a barrier, what will the system performance, such as power quality, system stability, and other metrics, become under a sub-ideal implementation?
The full paper details how to fit existing ESS technologies (including batteries of various chemistries, super-capacitors, flywheels, and hydrogen fuel cells) to help meet the ideal requirements. In addition, the performance trade-offs for a sub-ideal ESS design will be presented.
