2016 INFORMS Annual Meeting Program

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INFORMS Nashville – 2016
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SB58
Music Row 6- Omni
Energy II
Contributed Session
Chair: Alberto J Lamadrid, Assistant Professor, Lehigh University,
621 Taylor Street, R451, Bethlehem, PA, 18015-3120, United States,
1 - Optimal Transmission Line Switching Under
Geomagnetic Disturbances
Mowen Lu, Clemson University, Industrial Engineering
Department, 801 7th St. Apt 21B, Los Alamos, NM, 87544, United
States, , Russell Bent, Scott Backhaus,
Harsha Nagarajan, Emre Yamangil
Geomagnetically-induced current (GIC) flows induced by geomagnetic
disturbances (GMDs) can cause transformer hotspot heating and reactive power
losses that can severely impact power grid reliability. We present an optimal
transmission line switching model for a power grid experiencing a GMD. We
show how convex quadratic relaxations and improved bilinear function
relaxations can be used to obtain tight lower bounds. A case study based on a
modified single area of the IEEE RTS-96 system demonstrates our model’s
operating decisions with respect to GMD direction.
2 - Management Of Electric Vehicles Participation In Smart Grids For
Demand Response
Nasim Nezamoddini, Ms., State University of New York -
Binghamton, 222 Main Street, Apt 1, Binghamton, NY, 13905,
United States,
Electric vehicles (EVs) are potential distributed energy resources that support both
the grid-to-vehicle and vehicle-to-grid modes in the smart grid. Their
participation in the time-based and incentive-based demand response (DR)
programs helps improve the stability and reduce the potential risks to the grid.
This research proposes a novel stochastic model from the Independent System
Operator’s perspective for risk management and participation planning of EVs in
the smart grid for DR. The effectiveness of the model in response to various
settings such as the area type (residential, commercial, and industrial), the EV
penetration level, and the risk level has been investigated.
3 - A Computationally Efficient Branch-and-cut Method For Robust
Unit Commitment
Narges Kazemzadeh, Iowa State University, 3004 black
engineering, Ames, IA, 50011-2164, United States,
, Sarah M Ryan
Unit commitment seeks the most cost effective generator commitment decisions
to meet net load while satisfying operational constraints. Robust optimization is a
widely studied approach for optimizing under uncertainty in the load less variable
generation. We adopt a branch-and-cut approach to solve a Benders
decomposition for the robust formulation with different forms of uncertainty sets.
Its improved efficiency relative to the naïve Benders algorithm is demonstrated
with numerical experiments.
4 - Modeling And Computation Of Reliable Grid Expansion
Bo Zeng, University of Pittsburgh, Department of Industrial
Engineering, Pittsburgh, PA, 15260, United States,
Hossein Haghighat
Different from existing capacity expansion model, we consider the non-
cooperative market clearing results in bilevel capacity expansion scheme.
Numerical results will be presented to demonstrate this novel scheme in practice.
5 - Interdependencies In The Communications And
Electrical Networks
Alberto J Lamadrid, Assistant Professor, Lehigh University, 621
Taylor Street, R451, Bethlehem, PA, 18015-3120, United States,
, Basel Alnajjab, Lawrence V. Snyder,
Rick Blum, Shalinee Kishore
Managing an electric grid in a reliable and economic manner requires collecting
information for grid operators. Part of this information is collected through
sensors and a supervisory control and data acquisition (SCADA) system, as well as
from data provided by market players in the market clearing process. Therefore,
the operation of the system requires three interdependent networks: the electric
grid, the communication network and the control network.
This paper presents a model that explicitly connects these three networks,
considering the probabilistic nature of possible disruptions and changes in any of
the networks.
SB59
Cumberland 1- Omni
TSL Keynote Address
Keynote Session
Chair: Stephen D Boyles, The University of Texas at Austin, 301 E.
Dean Keeton St. Stop C1761, Austin, TX, 78712, United States,
1 - City Logistics: Challenges And Opportunities
Martin W P Savelsbergh, Georgia Institute of Technology, School of
Industrial and Systems Engineering, Atlanta, GA, 30332-0205,
United States,
Tom Van Woensel
Today, around 54% of the world’s population lives in urban areas. By 2050, this
share is expected to go up significantly. As a result, city logistics, which focuses on
the efficient and effective transportation of goods in urban areas while taking into
account the negative effects on congestion, safety, and environment, is critical to
ensuring continued quality of life in cities. We review and discuss a variety of
current and anticipated challenges and opportunities of city logistics. We hope this
helps shaping an appropriate research agenda and stimulates more researchers to
enter this exciting field.
SB60
Cumberland 2- Omni
Advances in Traffic Equilibrium and Network
Loading Models
Sponsored: TSL, Urban Transportation
Sponsored Session
Chair: Yang Liu, National University of Singapore, National University
of Singapore, Singapore, 00000, Singapore,
1 - Time-based Equilibrium For Staggered Bottleneck Congestion
With Heterogeneous Commuters
Yang Liu, National University of Singapore,
This paper develops a time-based dynamic user equilibrium (DUE) model with
heterogeneous users under the flexible work hour scheme. We first prove that,
given the identical work start time, the equivalent traffic assignment can be
formulated as a symmetric and convex problem for time-based DUE, which
admits unique solution. At short-run DUE, i.e., the staggered work hour scheme
is predetermined, DUE is formulated as variational inequality, and the unique
solution cannot be guaranteed. At long-run DUE, where commuters have the
flexibility to choose work start time, the equivalent convex optimization is
formulated. We prove that both DUE solution and commute cost are uniquely
determined.
2 - Price Of Satisficing: Bounding The Performance Of Boundedly
Rational User Equilibrium
Mahdi Takalloo, University of South Florida, Tampa, FL,
United States,
Changhyun Kwon
Due to the lack of full information and personal preferences, network users are
mostly satisficing decision makers instead of perfectly rational decision makers.
This satisficing behavior results in a traffic pattern, which attains a boundedly
rational user equilibrium (BRUE) instead of perfectly rational equilibrium
(PRUE). This research uses a perception error model to describe BRUE, and also
quantifies how bad the system total travel delay in BRUE can be compare to
PRUE.
3 - Path Based Formulations For Generalized Bounded Rationality
And Multi-commodity Network Design
Changhyun Kwon, University of South Florida, 4202 E. Fowler
Ave. ENB118, Tampa, FL, 33620, United States,
Longsheng Sun, Mark H Karwan
The route choices of network users could be uncertain when they are satisficing
with sub-optimal routes or there are errors in each individual’s perception of the
route’s utility. By modeling perception error, the notion of generalized bounded
rationality was recently proposed, providing a unified framework for the two
sources of uncertainty in route choices. In this paper, we design path based
formulations for route choice uncertainty represented by generalized bounded
rationality. We show how to incorporate them into multi-commodity network
design problems.
SB60