A fundamental constraint in electric power system operations is the need to maintain equilibrium between supply and demand, instantaneously and all times. Energy storage systems present an opportunity to transcend the power balance paradigm by allowing energy to be stored and released at different times. The potential applications of grid-integrated energy storage systems cover the entire electric power delivery supply chain, from generation to end-use, and potential benefits range from improved frequency regulation and dynamic stability to superior utilization of renewable and distributed energy resources.
This thesis investigates the optimal planning and operation of energy storage systems in the power distribution system from the consumer’s perspective. Two specific applications are chosen to illustrate the benefits of improved energy management and service reliability provided by energy storage systems: customer premise energy storage and distributed energy storage systems (DESS). Optimization models and solution methodologies are developed for both applications, and simulations are performed to compare and contrast various storage technologies, operational settings and solution algorithms.
The unique outcomes of this research are:
Pareto-optimal capacity partitioning and economic assessment of customer-premise energy storage systems for multi-use applications: Section 4.9
Optimization model and solution algorithms for prioritization of distribution system emergency backup service: Sections 5.4 – 5.6
Optimization model and solution algorithm for determining the optimal mix and placement of distributed energy storage systems in distribution systems for reduced customer outage costs: Sections 5.7 – 5.9
University of Minnesota M.S. thesis. June 2012. Major: Electrical Engineering. Advisors: S. Massoud Amin, Bruce F. Wollenberg. 1 computer file (PDF); xi, 107 pages, appendices A-B.
Gantz, Jesse Martin.
Optimal implementation of energy storage systems in power distribution networks..
Retrieved from the University of Minnesota Digital Conservancy,
Content distributed via the University of Minnesota's Digital Conservancy may be subject to additional license and use restrictions applied by the depositor.