Informs 2015

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INFORMS Philadelphia – 2015
251
MD60
60-Room 111A, CC
Panel Discussion: Encouraging Professionalism
in the Classroom
Sponsor: INFORM-ED
Sponsored Session
Chair: Cliff Ragsdale, Bank of America Professor, Virginia Tech, Dept. of
Business Information Technology, Pamplin Hall, Room 1007,
Blacksburg, VA, 24061, United States of America,
1 - Encouraging Professionalism in the Classroom
Moderator: Cliff Ragsdale, Bank of America Professor, Virginia
Tech, Dept. of Business Information Technology, Pamplin Hall,
Room 1007, Blacksburg, VA, 24061, United States of America,
, Panelists: James Cochran,
Ronald Klimberg, Kevin Scheibe
One of a professor’s roles as an educator is to prepare students for the professional
workplace. The panelists in this session will share ideas related to how we might
treat various aspects of our courses and classrooms as simulators of the
professional workplace. Open discussion of these ideas with the audience is
encouraged.
MD61
61-Room 111B, CC
Multilevel Optimization Problems in Energy
Sponsor: ENRE – Energy II – Other (e.g., Policy, Natural Gas,
Climate Change)
Sponsored Session
Chair: Sauleh Siddiqui, Assistant Professor, Johns Hopkins University,
3400 N. Charles St. Latrobe 205, Baltimore, MD, 21218, United States
of America,
1 - Strategic Bidding in Multi-unit Auctions with Storage of
Electric Energy
Chiara Lo Prete, Assistant Professor Of Energy Economics, The
Pennsylvania State University, 213 Hosler Building,
University Park, PA, 16802, United States of America,
, Uday Shanbhag
Increased supply variability due to the integration of renewables has raised
interest in energy storage resources providing flexibility in the operation of
electricity systems. One of the key issues to be addressed by market operators
relates to the participation of these resources in wholesale energy markets. We
develop a theoretical framework to analyze how the inclusion of storage affects
incentives and opportunities for strategic bidding behavior in electricity markets.
2 - An Exact Solution Method for Binary Equilibrium Problems and
the Power Market Uplift Problem
Daniel Huppmann, Postdoctoral Fellow, Johns Hopkins
University, German Institute for Economic Research (DIW
Berlin), 3400 N. Charles St., Baltimore, MD, 21218,
United States of America, Sauleh Siddiqui
We propose a novel method to find Nash equilibria in games with binary decision
variables by including compensation and incentive-compatibility directly into an
optimization framework in lieu of using a linearization, or relaxation of integrality
conditions. The method endogenizes the trade-off between efficiency and
compensation payments necessary to align incentives of players. We provide
existence results and conditions under which this problem can be solved as a
mixed-binary linear program.
3 - How Proactive Transmission Investments Can Incentivize Social
Welfare Improving Gencos Investments?
Enzo Sauma, Pontificia Universidad Catolica de Chile, Santiago,
Chile, , David Pozo, Javier Contreras
We propose a proactive three-level equilibrium model for power transmission and
generation expansion. The lower level models the market outcome; the
intermediate level models the equilibrium in generation capacity expansion; and
the upper level models the transmission expansion. The second and third levels
are modeled as an Equilibrium Problem with Equilibrium Constraints. We study
how proactive transmission investments can incentivize generation investments
that improve social welfare.
4 - The Impact of Withholding Flexibility: An Application to Ramp
Bidding in Electricity Markets
Ekaterina Moiseeva, KTH Royal Institute of Technology,
SE-100 44, Stockholm, Sweden,
Mohammad Reza Hesamzadeh, Sonja Wogrin
We compare a one-level and a bilevel equilibrium game in which firms’ flexibility
is either: decided at the same time as their production decisions; or sequentially.
We analyze the impact that different market structures have on the equilibrium
outcomes. Our findings are applied to the ramp bidding game in electricity
markets. It is observed that electricity producers may strategically declare a lower
ramp rate if they expect such decision to maximize their profit in the production
stage.
MD62
62-Room 112A, CC
Spatial Optimization and Conservation
Reserve Design
Sponsor: ENRE – Environment I – Environment and Sustainability
Sponsored Session
Chair: Bistra Dilkina, Assistant Professor, Georgia Institute of Technolog,
Klaus Bldg 1304, Atlanta, GA, 30332-0765,
United States of America,
1 - Land Development Uncertainties in the Dynamic Reserve Network
Design Problem
Nahid Jafari, Postdoctoral Research Associate, University of
Georgia, 180 East Green St,, Warnell School of Forestry and
Natural R, Athens, GA, 30602, United States of America,
, Clinton Moore
The (conservation) reserve network design problem is a challenge to solve
because of the spatial and temporal nature of the problem, stochastic action costs
and dynamic land markets. To plan cost-effective conservation over time under
stochastic uncertainties, we propose multi-period MIP models for the budget-
constrained selection of fully connected sites. The objective is to maximize a
summed conservation value for a subset of site availability scenarios at the end of
the planning time horizon.
2 - Wildlife Corridors in Harvest Scheduling Models:
A Case Study in Northern Sweden
Rachel St. John, University of Washington, Box 352650,
Seattle, WA, 98195-2650, United States of America,
, Sandor Toth
In northern Sweden, commercial forestry and reindeer husbandry compete for
forest resources. The former relies on timber - the latter on lichen. We present a
new model for maximizing net timber revenues while maintaining a high quality
corridor system for reindeer. The model can control such geometric characteristics
as corridor length and width by incorporating path finding technology in a mixed
integer programming framework. We illustrate the model with a case study in
Sweden.
3 - Spatial Considerations and Optimum Reserve Design for
Multiple Species
Hayri Onal, University of Illinois, Urbana IL 61801,
United States of America, , Yicheng Wang
We present a linear MIP model for designing a conservation reserve system for
multiple species where compactness and connectivity of the reserves are imposed
at species level. We consider both structural connectivity and functional
connectivity of the selected sites. An empirical application to the protection of ten
state endangered bird species in Illinois will be presented.
4 - Optimal Design of Nature Reserves Considering Connectivity and
Buffer Zones
Eduardo Alvarez-miranda, Universidad de Talca, Merced 437,
Curicó, Chile, Ivana Ljubic, Markus Sinnl,
Marcos Goycoolea
In this talk we present general ILP models, which address two spatial
requirements of nature reserves: connectivity, to avoid spatial fragmentation; and
the presence of buffer zones surrounding so-called core areas. Extensive
experimental results on synthetic and realistic instances show the effectiveness of
a specially tailored algorithm in providing optimal solutions in short computing
times. Other desired spatial properties, such as compactness, are also discussed.
MD62