2015 Informs Annual Meeting

SB60

INFORMS Philadelphia – 2015

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.

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. 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. SB58 58-Room 110A, CC Smart Grids and Demand Response Sponsor: ENRE – Energy I – Electricity Sponsored Session

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.

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