Title: Optimization, equilibria, energy and risk
Speaker: Michael C. Ferris, University of Wisconsin-Madison
Joint work with Andy Philpott, University of Auckland
Date & Time: 2:45-4:30pm, Wednesday 21 March, 2018
Location: RH105, Rutherford House, Level 1, 23 Lambton Quay, Wellington (Formerly ECNZ)
This will be followed by drinks and nibbles as well as a screening of Powering New Zealand Episode 1: The Powerboard of Fame, with Stephen Batstone and David Reeve; see more details here.
RSVP: Please email firstname.lastname@example.org to confirm your attendance.
In the past few decades, power grids across the world have become dependent on markets that aim to efficiently match supply with demand at all times via a variety of pricing and auction mechanisms. These markets are based on models that capture interactions between producers, transmission and consumers. Energy producers typically maximize profits by optimally allocating and scheduling resources over time. A dynamic equilibrium aims to determine prices and dispatches that can be transmitted over the electricity grid to satisfy evolving consumer requirements for energy at different locations and times. Computation allows large scale practical implementations of socially optimal models to be solved as part of the market operation, and regulations can be imposed that aim to ensure competitive behaviour of market participants.
Questions remain that will be outlined in this presentation.
- Firstly, the recent explosion in the use of renewable supply such as wind, solar and hydro has led to increased volatility in this system. We demonstrate how risk can impose significant costs on the system that are not modeled in the context of socially optimal power system markets and highlight the use of contracts to reduce or recover these costs. We also outline how battery storage can be used as an effective hedging instrument.
- Secondly, how do we guarantee continued operation in rarely occuring situations and when failures occur and how do we price this robustness?
- Thirdly, how do we guarantee appropriate participant behaviour? Specifically, is it possible for participants to develop strategies that move the system to operating points that are not socially optimal?
- Fourthly, how do we ensure enough transmission (and generator) capacity in the long term, and how do we recover the costs of this enhanced infrastructure?
Michael C. Ferris is the Stephen C. Kleene Professor in Computer Science and the director of the Data Sciences Hub within the Wisconsin Institute for Discovery at the University of Wisconsin, Madison, USA. He received his PhD from the University of Cambridge, England in 1989.
Prof. Ferris’ research is concerned with algorithmic and interface development for large scale problems in mathematical programming, including links to the GAMS and AMPL modeling languages, and general purpose software such as PATH, NLPEC and EMP. He has worked on many applications of both optimization and complementarity, including cancer treatment planning, energy modeling, economic policy, traffic and environmental engineering, video-on-demand data delivery, structural and mechanical engineering.
Prof. Ferris is a SIAM fellow, an INFORMS fellow, received the Beale-Orchard-Hays prize from the Mathematical Programming Society and is a past recipient of a NSF Presidential Young Investigator Award, and a Guggenheim Fellowship. He serves on the editorial boards of Mathematical Programming, Transactions of Mathematical Software, and Optimization Methods and Software.
This event is being hosted by the School of Management at Victoria University and is supported by ORSNZ through the ENR SIG.