12:00 AM - 2:00 PM on Friday, April 5, 2013
Location: 460 Durham (NVC 401 and ARI 5-024)
by Dr. George Gross (UIUC)
The effective integration of the deepening penetration of renewable resources has sparked a growing interest in the implementation of utility-scale storage resources, with MWweek storage capability. Storage devices provide flexibility to facilitate the management of power system operations in the presence of the random, highly time-varying and intermittent renewable resources. The ability to exploit the increased flexibility imparted by storage applications to the power system hinges on developing appropriate models, methodologies, tools and policy initiatives. We report on the development of a comprehensive simulation methodology that provides the capability to quantify the impacts of storage applications on the overall performance and operations of the grid. More specifically, we develop a practical approach that provides the quantification of variable effects of large-scale power systems incorporating storage devices into a power system with integrated renewable resources so as to assess the economics, emissions and reliability impacts of the deployment of such devices on the system in a market environment. Such assessments are essential to justifying investments in such devices, devising effective operational strategies for their utilization, and formulating policies by regulators and legislators for the more wide-spread use of these devices. For the construction of the simulation methodology, we model the various sources of uncertainty in the loads, conventional generation and the time-varying resources as stochastic processes and develop a storage scheduler to fully take advantage of arbitrage opportunities in the operation of multiple storage units in a power system with integrated renewable resources. We deploy Monte Carlo simulation techniques and develop computationally efficient schemes to systematically sample the stochastic processes to emulate the power system behavior in the transmission-constrained day-ahead markets (DAMs). The approach not only has the capability to emulate the side-by-side power system and energy market operations with the explicit representation of the chronology of time-dependent phenomena and constraints imposed by the transmission network in terms of deliverability of the energy, but also to provide the figures of merit for the metrics to assess the economics, reliability and the environmental impacts of the performance of those operations. We pay attention to the implementational aspects of the methodology so as to we ensure computational tractability for large-scale systems allowing its use for longer periods. We demonstrate the capabilities of the simulation approach by presenting representative study cases on a modified IEEE 118-bus test system. Our results show that storage deployment is effective in harnessing the economics and reliability benefits of the integration of deeper penetration of wind resources.
George Gross is Professor of Electrical and Computer Engineering and Professor, Institute of Government and Public Affairs, at the University of Illinois at Urbana-Champaign. His research and teaching activities are in the areas of power system analysis, economics and operations, renewable, storage and demand response resource integration, utility regulatory policy and industry restructuring. He pioneered new courses in renewable energy, decision- making techniques for engineers, power system planning, operations and computing. He was formerly with the Pacific Gas and Electric Company, where, Dr. Gross founded and managed the company's Management Science Department and held other key management, technical and policy positions. During 1992-93, Dr. Gross was at the Electric Research Power Institute to develop research directions on open access transmission. As a co-founder of POWERWORLD, he served on its Board of Directors from 1996-2001. Since 1994, he has directed the annually offered Transmission Business School, which provides professional training for the electric utility sector.
Dr. Gross was elected a Fellow of IEEE in recognition of his contributions to the area of power systems. He has won several Best Paper Awards and was awarded the Franz Edelman Management Science Achievement Award by the Institute of Management Science. He was a Visiting Professor at the Politecnico di Milano, University of Pavia and the Politecnico di Torino during the academic year 1999 – 2000. Dr. Gross has consulted on electricity issues with utilities, government organizations and research institutions in North America, Europe, South America, Australia and Asia. He has lectured widely and has given numerous invited presentations at leading universities and research institutions throughout the world. Dr. Gross is the author of a large number of publications and book chapters. His work has made a broad range of contributions to various areas of power system planning, operations, analysis and control, smart grid and electricity markets. George Gross received his undergraduate degree at McGill University in Montreal and he did his graduate studies at the University of California, Berkeley.