An Optimization Framework for Decision Making in Large, Collaborative Energy Supply Systems

Abstract

As demand for electricity in the U.S. continues to increase, it is necessary to explore the means through which the modern power supply system can accommodate both increasing affluence (which is accompanied by increased per-capita consumption) and the continually growing global population. Though there has been a great deal of research into the theoretical optimization of large-scale power systems, research into the use of an existing power system as a foundation for this growth has yet to be fully explored. Current successful and robust power generation systems that have significant renewable energy penetration—despite not having been optimized a priori—can be used to inform the advancement of modern power systems to accommodate the increasing demand for electricity. This work explores how an accurate and state-of-the-art computational model of a large, regional energy system can be employed as part of an overarching power systems optimization scheme that looks to inform the decision making process for next generation power supply systems. Research scenarios that explore an introductory multi-objective power flow analysis for a case study involving a regional portion of a large grid will be explored, along with a discussion of future research directions.

Multi-Objective Optimization Model Development to Support Sizing Decisions for a Novel Reciprocating Steam Engine Technology

“…The first study involved using the optimizer to vary the values for the first seven parameters listed in Table 5 (e.g., x(1)-x(7)), while holding x(8) fixed to the value of the bore used in the existing stock prototype engine. Next, three optimization studies were performed with fixed cylinder bore values of 85 mm, 100 mm, and 115 mm, respectively, all of which are larger than the bore of the Crank angle (h) when intake valve mechanically opened 330-360 deg x (4) Crank angle (h) when cylinder pressure dropped to zero gauge 90-180 deg x (5) Crank angle (h) that exhaust valve closing leads intake [x(3)] À50 deg to 0 deg x (6) Equilibrium deflection angle of intake valve (h…”

“…Optimization techniques can be used on practically any design problem, provided computational models for a system of interest exit. For example, recent studies that use modeling and optimization in the area of energy system design include a study focused on the design and analysis of wave energy conversion systems [5], and another research effort involving the modeling and design of large scale energy supply systems [6]. Due to the continued interest in the economical and sustainable generation of useful energy, research efforts focused on the analysis and design optimization of power conversion cycles and engine technologies, such as the Stirling engine [7][8][9] the Atkinson cycle engine [10], and other novel engine cycle technologies [11], have also been the subject of recent publications.…”