Technical Sessions – Monday July 11

HB-01 IFORS 2011 - Melbourne
Thursday, 11:00-12:30
� HB-01
Thursday, 11:00-12:30
Plenary Hall 3
OR Applications in Electricity Transmission
& Distribution
Stream: OR Applications in Energy
Invited session
Chair: Young-Jun Son, Systems and Industrial Engineering, The
University of Arizona, Engineering Building #20, Room 111, 85721,
Tucson, AZ, United States, son@sie.arizona.edu
1 - Optimization of Alternative Energy Generator Placement
in Electrical Power Distribution Networks using
Mixed-integer Programming
James Foster, School of Mathematical and Physical Sciences,
University of Newcastle, University Drive, Callaghan, 2308,
Newcastle, NSW, Australia, james.foster@uon.edu.au, Natashia
Boland, Hamish Waterer
One barrier to the wide-spread uptake of alternative energy generators in electrical
power distribution networks is the creation of unplanned system instability.
This talk outlines a methodology for placing generators in an existing
network so as to minimize imported power subject to demand and budget constraints.
The problem is modelled as a mixed-integer non-convex quadratic
program and as an approximate mixed-integer linear program. Computational
results using state-of-the-art mixed-integer programming solvers are compared
to those found by a widely-used industry accepted genetic algorithm.
2 - Thermo-accumulation: An Algorithm for Identifying Potential
Customers of Electricity Utilities
Reinaldo Souza, Departamento de Engenharia Elétrica,
Pontifícia Universidade Católica do Rio de Janeiro, Rua Marquês
de São Vicente, 24020-140, Rio de Janeiro, RJ, Afghanistan,
reinaldo@ele.puc-rio.br, Patricia Queiroz, Mauricio Frota,
Aguinaldo Pinho, Antenor Davila, Fernanda Particelli
An statistical-based algorithm capable to build real-time load curves of clients
in the high voltage category was developed to identify potential customers to
make use of thermo-accumulation. The algorithm, based on real-time measurement
of the electric energy consumed, includes a "missing data’ treatment. The
use of thermo-accumulation allows to the displacement of the curve peak from
peak to off-peak hours while ensuring economy savings as high as 40% in the
electricity bill.
3 - Multicriteria Capacitated Districting Problem: Study
Case on Power Distribution Companies
Laura Assis, DENSIS, Universidade Estadual de Campinas,
Avenida Albert Einstein n 400 - Cidade Universitária Zeferino
Vaz - Barão Geraldo - Campinas - São Paulo - Brasil, 13081-970,
Campinas, SP, Brazil, laura.assis@gmail.com, Paulo Morelato
França, Fábio Usberti
The capacitated districting problem (CDP) consists of partitioning a geographical
region constituted by a set of small territorial units in a set of capacitated
contiguous and non-overlapped districts with optimization of some criteria. We
present the CDP inserted in reassignment of urban clusters of clients where
readings of electric energy measurement must be performed. The criteria considered
are compactness, workload homogeneity and conformity. A GRASP
heuristic is proposed to solve the CDP; results are discussed for 240 instances
more a large scale network from city of São Paulo, Brazil.
4 - A Hierarchical Modeling Framework for Electrical Power
Operational Decision Making and Quality Monitoring
78
Young-Jun Son, Systems and Industrial Engineering, The
University of Arizona, Engineering Building #20, Room 111,
85721, Tucson, AZ, United States, son@sie.arizona.edu, Esfand
Mazhari
A hierarchical modeling framework is proposed for electric networks. The
high level concerns operational decision making and defining regulations for
customers for a maximum revenue and enhanced reliability. The lower level
concerns changes in power quality factors and demand behavior caused by customers’
response to operational decisions and regulations. The higher level is
based on system dynamics (SD) and agent-based modeling (ABS) while the
lower level is based on ABS and circuit-level continuous modeling. The proposed
framework is demonstrated with a case with a utility company.
� HB-02
Thursday, 11:00-12:30
Meeting Room 101
Project Scheduling
Stream: Scheduling
Contributed session
Chair: Stefan Creemers, IESEG School of Management, 59000,
Lille, France, s.creemers@ieseg.fr
1 - Project Scheduling with Modular Project Completion on
a Bottleneck Resource
Kris Coolen, Decision Sciences and Information Management,
KULeuven - FBE, Ond.gr. Operat.Res. & Bus.Stat.(ORSTAT),
Naamsestraat 69 - bus 3555, 3000, Leuven, Belgium,
Kris.Coolen@econ.kuleuven.be, Wenchao Wei, Roel Leus
In this paper, we model a research-and-development project as consisting of
several modules, with each module containing one or more activities. We examine
how to schedule the activities of such a project in order to maximize the
expected profit when the activities have a probability of failure and when an
activity’s failure can cause its module and thereby the overall project to fail. A
module succeeds when at least one of its constituent activities is successfully
executed. All activities are scheduled on a scarce resource that is modeled as a
single machine.
2 - A Heuristic Procedure for Resource-constrained
Project Scheduling within Microsoft Project
Norbert Trautmann, Department of Business Administration,
University of Bern, IFM, AP Quantitative Methoden,
Schützenmattstrasse 14, 3012, Bern, BE, Switzerland,
norbert.trautmann@pqm.unibe.ch, Philipp Baumann, Gianluca
Brandinu, Tobias Schaefer
The resource-allocation procedure of Microsoft Project applies a specific
schedule-generation scheme. Compared against other software or state-of-theart
methods, this procedure performs relatively poor. In Microsoft Project 2010,
it is possible to work with schedules that are infeasible w.r.t. the precedence
or the resource constraints. We propose a novel schedule-generation scheme
that uses this possibility; the scheme takes into account all calendar constraints
defined within Microsoft Project. We report on computational results for the
PSPLIB and several real-world projects.
3 - Information System Outsourcing Risk Factors Analysis
Otilija Sedlak, Business Informatics and Quantitative Methods,
Faculty of Economics Subotica, Ivana Sarica 14, 24000,
Subotica, Vojvodina, Serbia, otilijas@ef.uns.ac.rs, Zoran Ciric
A firm needs to determine its outsourcing need, make a sound outsourcing plan
and strategy, and then work on vendor selection process. A comprehensive
understanding to outsourcing risks allows the firm to monitor these risky areas.
An outsourcing firm must survey its market situation and also identify its
outsourcing success factors and risk factors. Project risk is a measurement of
the probability of adverse or anomalous effect toward a working project. Appropriate
work on project management and risk management will increase the
likelihood of outsourcing success. In this paper risk uncertainty will be used to
identify the accuracy of the outsourcing risk estimation.
4 - Project Scheduling with Alternative Technologies: Incorporating
Varying Activity Duration Variability
Stefan Creemers, IESEG School of Management, 59000, Lille,
France, s.creemers@ieseg.fr, Roel Leus, Bert De Reyck