Background Image
Previous Page  87 / 552 Next Page
Information
Show Menu
Previous Page 87 / 552 Next Page
Page Background

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.edu

An 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.com

This 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.

SB58

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.edu

1 - 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.

SB59

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.edu

1 - 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.ca

We 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.edu

Open 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.

SB60

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.edu

1 - 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.edu

Introductory 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.

SB60