2015 Informs Annual Meeting

WC58

INFORMS Philadelphia – 2015

3 - Optimal Assembly Planning to Manage Manufacturing and Supply Chain Complexity Due to Product Variety Jeonghan Ko, University of Michigan and Ajou University, 1205 Beal Ave., Ann Arbor, MI, United States of America, jeonghan@umich.edu, Heng Kuang, Ehsan Nazarian The complexity due to product variety has been an important issue for manufacturing and supply chains. Assembly planning determines the manufacturing process sequence and logistics, and plays a crucial role in minimizing such complexity. We propose a new complexity measure of assembly plans, verify the index through manufacturing and supply chain models, and provide a strategy for improved assembly plans. Our result illustrates the advantages of delayed differentiation and balanced planning. 4 - How Much Efficiency Is Enough? Mohammad Ali Asudegi, University of Tennessee, 525 John D. Tickle Engineering Building,, 851 Neyland Dr, Knoxville, TN, 37996, United States of America, aliasudegi@gmail.com, Rupy Sawhney For many years the focus of many companies has been on efficiency metrics while other metrics have been ignored to gain higher efficiency. To define an optimal level of efficiency in a facility the interaction between efficiency and all other metrics should be studied. In this study, a framework is offered to define optimal level of efficiency considering other financial and non financial metrics for a better use of available resources. 5 - Managing Electricity Peak Loads in Make-to-Stock Manufacturing Lines Felix Papier, Associate Professor, ESSEC Business School, Avenue Bernard Hirsch, Cergy, 95021, France, papier@essec.edu Our research is motivated by new manufacturing systems that smoothen electricity consumption to avoid expensive and carbon-emission-intensive peak loads. We study the control of stochastic make-to-stock manufacturing lines in the presence of peak loads. We show that standard methods in manufacturing research are not effective in this setting and we develop a new control policy. We derive analytic properties of the control policy for 2 workstations and develop a heuristic for more workstations. Chair: Amir Mousavian, Assistant Professor, Clarkson University, 8 Clarkson Avenue, Potsdam, NY, 13699-5790, United States of America, amir@clarkson.edu 1 - Optimizing Primary Response in Preventive Security-constrained Optimal Power Flow Hrvoje Pandzic, Faculty of Electrical Engineering and Computing University of Zagreb, Unska 3, Zagreb, Croatia, Hrvoje.Pandzic@fer.hr, Pierre Henneaux, Yury Dvorkin, Daniel Kirschen Preventive Security-Constrained (PSC) Optimal Power Flow (OPF) dispatches controllable generators at minimum cost while ensuring that operating constraints on generation and transmission assets are respected during both the pre- and post-contingency states without relying on post-contingency redispatch. A new PSCOPF model that optimizes the droop coefficients of the synchronized generators will be described. 2 - Optimal Resilient Distribution Grid Design using a 3-phase Unbalanced AC Power Flow Russell Bent, Los Alamos National Laboratory, P.O. Box 1663, Los Alamos, NM, 87545, United States of America, rbent@lanl.gov, Emre Yamangil, Harsha Nagarajan, Scott Backhaus Modern society is critically dependent on the services provided by power systems. Here we discuss an optimal electrical distribution grid design problem that improves the resiliency of such systems. To improve tractability, we introduce two ways of approximating the 3-phase AC power flow equations and L-shaped infeasibility cuts. Our experiments show that, unless the network impedance profile is unrealistically modified, our algorithms remain tractable and the solutions provide good results. 3 - Dispatchability Maximized Energy and Reserve Dispatch Wei Wei, Tsinghua University, 3-211, West Main Building, Tsinghua Univ, Beijing, 100084, China, wei-wei04@mails.tsinghua.edu.cn, Shengwei Mei, Jianhui Wang The dispatchability of the affine policy based energy and reserve dispatch (AF- ERD) is shown to be a polytope. The mathematical model of AF-RED is proposed. An efficient SOCP based algorithm is developed to solve the proposed model. The WC57 57-Room 109B, CC Power System Design and Optimization Sponsor: ENRE – Energy I – Electricity Sponsored Session

generalized Gauss inequality is adopted to evaluate the probability of infeasible real-time dispatch in the absence of the exact probability distribution of wind power. 4 - Optimal Energy Scheduling in a Microgrid Including Electric Vehicle Parking Lots Ebrahim Mortaz, Auburn University, Auburn University, Auburn, AL, 36849, United States of America, ezm0012@auburn.edu, Jorge Valenzuela Microgrids are small-scale versions of the current bulk power grids. Microgrids allow customers to participate in energy trading and demand response programs. In this presentation, we consider scheduling electric power in a microgrid that includes thermal generators, renewable energy, and a parking lot with electric vehicles. We propose a mathematical programming model that minimizes the total expected operation cost. Results confirm that the proposed energy scheduling reduces generation costs. WC58 58-Room 110A, CC Optimal Power Flow in Electric Power Systems II Sponsor: ENRE – Energy I – Electricity Sponsored Session Chair: Andy Sun, Assistant Professor, Georgia Institute of Technology, 755 Ferst Drive, Atlanta, GA, 30332, United States of America, andy.sun@isye.gatech.edu 1 - Power Markets with Real and Reactive Power Based off a Sequential Linear Approximation to the ACOPF Paula Lipka, Graduate Student Researcher, University of California, Berkeley, 4141 Etcheverry Hall, Berkeley, CA, 94720, United States of America, plipka@berkeley.edu, Shmuel Oren This work shows how to use a successive linear program that solves the ACOPF to run a real-time power market. It discusses how to calculate load payments, generation rents, congestion rents, and flowgate prices and how these items are different from the DC terms due to voltage and reactive power. It compares market outcomes under these new settings to those from a DCOPF approach with several examples. 2 - Impact of ACOPF Constraints on Security-constrained Unit Commitment Anya Castillo, Federal Energy Regulatory Commission, 888 1st Street NE, Washington DC, United States of America, anya.castillo@ferc.gov, Richard O’Neill, Carl Laird, Jean-Paul Watson, Cesar Silva Monroy We propose a unit commitment formulation with alternating current optimal power flow (ACOPF) constraints and solve the problem as a mixed-integer sequential linear program. This approach accounts for voltage requirements and enables the commitment of units for reactive power compensation in addition to economically satisfying the real power balancing requirements. We compare our results to unit commitment approaches that either ignore network effects or approximate lossless power flows. 3 - First Order Loss Approximation for LMP Calculation Brent Eldridge, Operations Research Analyst, Federal Energy Regulatory Commission, 888 First St. NE, Washington, DC, United States of America, breldridge@gmail.com, Richard O’Neill, Anya Castillo The following paper discusses an improvement method for estimating line losses when solving a DC optimal power flow (DCOPF) with endogenous line loss estimation. We present a DCOPF model and propose a method called First Order Improvement of Losses, or FOIL, which uses only linear constraints and does not require additional solutions to AC power flow equations. We compare FOIL to the initial solution and to results using successive linearization. 4 - Robust Feasibility and Stability Analysis in Power Flow Problems Krishnamurthy Dvijotham, California Institute of Technology, Pasadena, CA, United States of America, dvij@caltech.edu Recent research has shown that convex relaxations often find provably optimal solutions of ACOPF problems. However, they do not provide guarantees of feasibility and dynamic stability in the presence of uncertainty (contingencies, stochastic generation, load etc.). In this work, we develop efficient algorithms to certify stability and feasibility of power flow solutions under various forms of uncertainty. The certificates cover practical operating conditions for several test cases.

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