Informs 2015

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INFORMS Philadelphia – 2015
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2 - A Maximal Conditional Covering Location Problem to Relocate
Emergency Response Enterprise Units
Brian Lunday, Assistant Professor Of Operations Research,
Department of Operational Sciences, Grad. Sch. of Engr. &
Mgmt., Air Force Institute of Technology, Wright Patterson AFB,
OH, 45433, United States of America, ,
Nicholas Paul, Sarah Nurre
We analyze the collective effectiveness of three hierarchical tiers within an
existing enterprise of Department of Defense units designated to respond to a
large-scale emergency (e.g., a chemical, biological, or radiological attack), and we
identify their optimal locations via a maximal conditional covering problem
formulation with side constraints. Acknowledging fiscal and political restrictions
on facility relocations, we apply a multiobjective approach to identify Pareto
optimal solutions.
3 - Location of Milk Collection Points for the Blended Milk
Collection Problem
Vladimir Marianov, Pontificia Universidad Catolica de Chile,
Vicuña Mackenna 4860, Macul, Santiago, Chile,
, Armin Löer Villagra, Germán Paredes -
Belmar, Andrés Bronfman
Different qualities of milk are collected from farms, using a heterogeneous truck
fleet. Each farm produces single quality milk. Milk can be blended in the trucks, if
convenient. The blend takes the quality of its lower quality component.
Collection points are located for farthest farms to bring their milk. Trucks visit
some of the farms and the collection points. A model is presented and solved
using Branch and Cut for small instances. A heuristic is presented to solve a real
problem.
4 - Sensor Location Problems: Open Locating-dominating Sets
Robin Givens, College of William & Mary, Computer Science
Department, McGlothlin 126, Williamsburg, VA, 23185, United
States of America, , Gexin Yu, Rex Kincaid
We consider the problem of fault location via sensors in parallel and
multiprocessor networks with the goal of minimizing the number of sensors
required throughout the system. We prove the lower bound of the minimum
open locating-dominating set size for two different circulant graphs using two
proof techniques, the discharging method and Hall’s Theorem. We also provide
constructions for the upper bound at the same size.
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57-Room 109B, CC
Policy Issues in Energy Markets
Sponsor: ENRE – Energy II – Other (e.g., Policy, Natural Gas,
Climate Change)
Sponsored Session
Chair: Andrew Liu, Assistant Professor, Purdue University,
315 N. Grant Street, West Lafayette, IN, 47907, United States of
America,
1 - Environmental and Economic Performance of Stochastic Market
Clearing under High Wind Penetration
Ali Daraeepour, PhD Student, Duke University, Box 90328, Duke
University, Durham, NC, 27707, United States of America,
Xin Li, Dalia Patino-Echeverri
Using a scaled version of PJM, and generated wind scenarios and demand data
from BPA data, this paper explores a comparison of the performance between
stochastic and deterministic models for market clearing in terms of total
operational costs, wind curtailment, and air emissions. Operating reserves in the
deterministic-day-ahead model and Value of Lost Load in the Stochastic-day-
ahead model are chosen so that both result in commitments that have the same
expected reliability.
2 - Risk and Return under Renewable Support Mechanisms –
Towards a Coherent Framework
Christoph Weber, Prof., University Duisburg-Essen,
Universitaetsstr. 11, Essen, 45117, Germany,
Lena Kitzing
Risk exposure resulting from renewable support mechanisms such as feed-in
tariffs impacts the incentives for investors. We consider multi-stage decision
making, including regulatory settings, financing and investment decisions and
operations. Both systematic and unsystematic risks are included in a stochastic
cash flow approach. The model is applied to a wind park in Germany. Feed-in-
tariffs are found to require lower support levels than other support schemes but
transfer more risk to society.
3 - A Natural Gas Model for North America: Impact of Cross-border
Flows of Natural Gas with Mexico.
Felipe Feijoo, Postdoctoral Fellow, Johns Hopkins University
Whiting School of Engineering, 3400 N Charles St, Baltimore,
MD, 21218, United States of America, ,
Sauleh Siddiqui, Daniel Huppmann, Larissa Sakiyama
Natural gas is becoming an important energy source due to its low environmental
impact and price. New regulations in Mexico and Canada will highly affect the
North American natural gas market. We present a long-term dynamic partial-
equilibrium model that incorporates a range of regulatory measures to study
impacts of various policies, assess the costs and benefits from cross-border flows of
natural gas and electricity, and quantify the emissions avoided in Mexico through
a switch to natural gas.
MC58
58-Room 110A, CC
Analytics in the Petrochemical and Petroleum
Industries III
Sponsor: ENRE – Natural Resources II – Petrochemicals and
Petroleum
Sponsored Session
Chair: Bora Tarhan, Research Specialist, ExxonMobil, 22777
Springwoods Village Parkway, Spring, TX, 77389,
United States of America,
1 - Convex Relaxations for Calculating Voltage Stability Margins and
Certifying Power Flow Insolvablity
Daniel Molzahn, Dow Postdoctoral Fellow, University of
Michigan, 1301 Beal Avenue, Room 4234A, Ann Arbor, MI,
48109, United States of America,
Ian Hiskens, Bernard Lesieutre, Christopher Demarco
Ensuring the reliability of electric power systems requires operating with
sufficient stability margins. We present a non-convex optimization problem which
provides a voltage stability margin. Convex relaxations of this problem upper
bound the voltage stability margin and can certify insolvability of the network
power flow equations. These relaxations have SOCP and SDP formulations and
may include integer constraints to model reactive-power-limited generators.
2 - Inventory and Maintenance Optimization in Oil and Gas
Production System
Farnaz Ghazi Nezami, Assistant Professor, Kettering University,
1700 University Ave, Flint, MI, 48504, United States of America,
Prasanna Tamilselvan
This research is aiming at developing an optimal spare provisioning policy for an
offshore oil and gas production facility to jointly optimize the production system
availability and maintenance cost. The proposed policy minimizes the downtime
which is a function of subsea intervention equipment lead time and spare parts
availability.
3 - Oil Supply Chain Risk Identification in Saudi Arabia
Julio Daza, Universidad de Valencia, valencia, Valencia, Spain,
, Mario Ferrer, Ricardo Santa, Alvaro Sierra,
Daniel Romero-Rodriguez
This investigation has a twofold purpose: to operationalize the constructs of the of
Supply-Chain-Risk-Management (SCRM), Supply-Chain-Resilience (SCR) and
Supply-Chain-Vulnerability (SCV), and to quantitatively test the nature as well as
the strength of the relationship between these three constructs within the context
of the oil-industry in the Kingdom of Saudi Arabia.
MC57