INFORMS Philadelphia – 2015
85
3 - A Market Mechanism for Electric Distribution Networks
Na Li, Assistant Professor, Harvard University, 33 Oxford St,
MD 147, Cambridge, MA, 02138, United States of America,
nali@seas.harvard.eduAn efficient electricity market in distribution networks plays an important role in
incentivizing end-users to participate in smart grid. However, the externalities
associated with the voltage capacity constraints and line losses constitute a
significant barrier. In this paper, we present a market mechanism to internalize
the external effects within private decisions by defining trading rules. A
competitive market is established to achieve a social optimum within a radial
distribution network.
4 - Ramsey Pricing of Transmission System Platform
Hung Po Chao, Energy Trading Analytics, 2842 Main St., Suite
206, Glastonbury, CT, 06033, United States of America,
hungpo.chao@gmail.comThis paper examines second-best pricing for jointly optimized investments in a
transmission network subject to a budget constraint. Ramsey pricing I works by
setting energy prices to raise revenue to cover investment costs, and Ramsey
pricing II obtains revenue from injection and withdrawal charges. We show that
Ramsey pricing II achieves allocation that not only is better than Ramsey pricing I
but achieves nearly the first-best allocation.
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58-Room 110A, CC
Smart Grids and Demand Response
Sponsor: ENRE – Energy I – Electricity
Sponsored Session
Chair: Mahdi Kefayati, Senior Software And Control Engineer, Electric
Power Engineers, Inc., 13001 Highway 71, Suite G100, Austin, TX,
78738, United States of America,
kefayati@utexas.edu1 - Optimizing Intelligent Infrastructure Coupled with the Power Grid
Mahnoosh Alizadeh, Stanford University, Packard EE Building,
Room 372, 350 Serra Mall, MC 9515, Stanford, Ca, 94305,
United States of America,
malizade@stanford.edu,
Andrea Goldsmith
Electric utilities are leveraging smart grid networks to extend demand response
programs to a broad class of loads. What is commonly ignored is that a significant
amount of flexibility that DR programs aim to harness will be due to electricity
consumption that supports the delivery of goods and services by other networked
infrastructure. Thereby, DR could introduce a complicated closed-loop interaction
between the power grid and various other infrastructures that we highlight in this
talk.
2 - Plug-in Vehicle to Home (V2H) Operation under a Grid Outage
Hunyoung Shin, University of Texas at Austin, 1616 Guadalupe
UTA, Austin, TX, 78759, United States of America,
hunyoung@utexas.edu, Ross Baldick
During a grid outage, Vehicle to Home (V2H) system with photovoltaic generation
can be used to create a small micro-grid. In this work, we investigate V2H
operation under a grid outage that provides backup power without the help of an
external electric grid. First, we introduce a novel optimization model that
maximizes backup duration. Motivated by the solution of optimization problem, a
new algorithm for V2H system is suggested. Then we extend the work to
Vehicles-to-Homes (V2Hs) system.
3 - Convexification of Power Flow Problem over Arbitrary Networks
Javad Lavaei, Assistant Professor, UC Berkeley, 4121 Etcheverry
Hall, University of California, Berkeley, CA, 94720, United States
of America,
lavaei@berkeley.edu, Ramtin Madani, Ross Baldick
Consider an arbitrary power network with PV and PQ buses, where active powers
and voltage magnitudes are known at PV buses, and active and reactive powers
are known at PQ buses. The classical power flow (PF) problem aims to find the
unknown complex voltages at all buses. The objective of this talk is to propose a
class of convex optimization problems with the property that they all solve the PF
problem as long as the solution belongs to a good regime containing voltage
vectors with small angles.
4 - Ancillary Services Potential of Plug-in Electric Vehicle Charging
Mahdi Kefayati, Senior Software And Control Engineer, Electric
Power Engineers, Inc., 13001 Highway 71, Suite G100, Austin,
TX, 78738, United States of America,
kefayati@utexas.edu,
Ross Baldick
Taking a data driven approach, we show that, plug-in electric vehicles can provide
a substantial amount of ancillary services. We propose algorithms to realize this
potential and demonstrate that in ERCOT market, as an example, less than 20%
electrification can potentially cover all regulation service needs.
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59-Room 110B, CC
Underground Mining
Sponsor: ENRE – Natural Resources I – Mining
Sponsored Session
Chair: Alexandra Newman, Professor, Colorado School of Mines,
Mechanical Engineering, Golden, CO, 80401, United States of America,
anewman@mines.edu1 - Logistics Planning at LKAB
Mikael Ronnqvist, Professor, Université Laval, 1065, Avenue de la
Médecine, Québec, QC, Canada,
mikael.ronnqvist@gmc.ulaval.ca,
Patrik Flisberg, Olivier Sirois, Dick Carlsson
The logistic planning at a mining company is a complex task. There are large
volumes of products of uncertain quality and many unforeseen events. There is a
need to keep inventories within distinct bounds and use the fleet of train systems
in a efficient way. We report on some planning models based on optimization and
describe results from tests.
2 - Maintenance Planning of Freight Train for a Mining Company
Olivier Sirois, Student, Université Laval, 1065, Avenue de la
Médecine, Québec, QC, Canada,
olivier.sirois.1@ulaval.caWe conduct an analysis based on a simulation model of a real-case railway
network for LKAB, a large mining company, on which we investigate two
maintenance planning issues. First, the implementation of a strategic planning for
locomotives maintenance is evaluated in terms of capacity usage of the
maintenance facility throughout a fixed horizon. Second, we analyzed different
strategies for post maintenance wagons sorting in order to minimize the shunting
time linked to those operations.
3 - Crown Pillar Placement in an Open-Pit-to-Underground
Mining Transition
Barry King, PhD Candidate, Colorado School of Mines, 1500
Illinois Street, Golden, CO, 80401, United States of America,
barking@mymail.mines.eduOpen pit and underground mine planning, i.e., scheduling three-dimensional,
notional blocks to maximize a deposit’s value, are often performed independently.
We show how the placement of the crown pillar (that separates open pit and
underground operations) is affected by discount rate, production capacities, and
metal content of the deposit. Our methodology incorporates scheduling at the
block level, accounts for detailed precedence and capacity constraints, and allows
for parametric analysis.
4 - From Opening Towards Closing a Mine – A Case for Popmusic
and Generalized Local Branching?
Alessandro Hill, Hamburg University of Technology,
Schwarzenbergstrasse 95 D, Hamburg, Germany,
alessandro.hill@tuhh.de, Stefan Voss
Within our research on sustainable mining we came across the needs to develop
some solid closure plans for mining. Here we investigate to which extent
combinatorial optimization may be useful in the lifecycle of a mine including its
eventual closure. For some problems we encountered the option to apply
matheuristics like POPMUSIC or generalized local branching being successful
while others are more of a handwaving nature. We exemplify in both cases with
specific examples and related results.
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60-Room 111A, CC
Case Competition I
Sponsor: INFORM-ED
Sponsored Session
Chair: Palaniappa Krishnan, Associate Professor, University of
Delaware, 212 Townsend Hall, 531 S.College Avenue, Newark, DE,
19711, United States of America,
baba@udel.edu1 - Using Optimization for Team Information
Wendy Roth, Assistant Professor, Georgia State University,
6230 Forest Park Dr, Signal Mountain, TN, 37377,
United States of America,
wroth@gsu.eduIntroductory Business Modeling classes often focus on types of models (linear,
integer and nonlinear) and tool usage to solve various problems. Textbook and
single solution cases help develop skills, but are often more straight forward than
the business problems students will face in their careers. Additionally, the subjects
of these problems, including production, can be unfamiliar or uninteresting to
many students. This case focuses on something students are very familiar with,
dividing participants into teams. Since there are many ways teams can be formed,
this case is created to encourage groups to take different approaches to solve this
problem.
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