Informs Annual Meeting 2017

SC78B

INFORMS Houston – 2017

3 - Optimal Price Threshold Control for Battery Operation with Aging Phenomenon Yuhai Hu, Lehigh University, 200 West Packer Avenue, Bethlehem, PA, 18015, United States, yuh212@lehigh.edu, Boris Defourny This talk is concerned with grid-level battery storage operations, taking battery aging into consideration. Battery operations under price uncertainty are modeled as a Markov Decision Process with expected cumulated discounted rewards. An algorithm that takes advantage of the problem structure and works directly on the continuous state space is developed to maximize the objective over the life of the battery. Computational results are presented to compare the proposed approach to a standard dynamic programming method, and to evaluate the impact of refinements in the battery model. Error bounds for the proposed algorithm are established to demonstrate its accuracy. 4 - Load Scheduling for Residential Demand Response on Smart Grids Luce Brotcorne, INRIA, Lille, 59000, France, luce.brotcorne@inria.fr, Miguel Anjos, Martine Labbé, Maria Restrepo We present a mixed integer linear program for a load scheduling problem in the context of residential demand response. The model schedules the operation time and power consumption level of each load and controls the use of energy storage devices to minimize the total energy cost and manage peak in power consumptions. Numerical results show that electricity cost savings and reductions in power peak consumptions can be achieved by shifting demands and using efficiently the battery. Chair: Erhan Berk, National Defence University, Hava Harp Okulu Komutanligi Yesilyurt, Istsnbul, 34149, Turkey, eberk@hho.edu.tr 1 - University Selection for Masters Degree with Data Envelopment Analysis and Analytical Hierarchy Process Xiaojun (Gene) Shan, University of Houston-Clear Lake, Houston, TX, United States, shan@uhcl.edu, Mukesh Dachapally Efficiency of 20 similar U.S. universities were evaluated using data envelopment analysis (DEA) and analytical hierarchy process (AHP). The inputs for DEA are tuition fees, Student to faculty ratio and number of research-only faculty while the outputs are graduation rate, freshman retention rate and number of publications. Then, AHP was applied to identify the best university for master’s degree. 64 participants participated in a survey to identify criteria. The five criteria are tuition fee, University global ranking, weather, scholarship and Career opportunities. This study found Binghamton University as the most efficient university. 2 - A Research on Energy Efficiency under Dual Mechanisms of Inter-provincial Trade and R&D Investment in China Rui Wang, Tongji University, Shanghai, China, 2822930768@qq.com, Dajian Zhu Market segmentation is the backward areas’ trade protection behavior of not participating in cooperation and work division in order to obtain technical progress in high technology industry, but it causes the efficiency loss of resources allocation. Based on the panel data of Chinese 30 provinces from 2003 and 2014, this paper uses the SFA model contracted with joint estimation of technical inefficiency and influencing factors to investigate the influence of Chinese provincial trade and its work with different levels of R&D activities on energy efficiency, we find that these R&D activities play heterogeneous roles in different forms of inter-provincial trade’s improvement of energy efficiency. 3 - A Predictive Model for Estimating the Generation of Solar PVS and Wind Turbines with Various Predictors within the United States Narjes Nouri, PhD Student, University of Wisconsin-Milwaukee, Milwaukee, WI, 53211, United States, nourin@uwm.edu, Mohammad Hasan Balali Development in PV panels and wind turbines technologies and growing number of operable solar and wind farms made these two renewable sources best potentials for traditional sources in the last decades.There are various types of parameters which affect the installed capacity of these sources. There are many articles which studied the impact of environmental parameters such as wind speed and air temperature on the renewable energy generation. On the other hand, there are social parameters which have indirect effects that might not be as evident as environmental parameters. In this study, a regression model has been presented between renewable energy generation and some selected social parameters. SC78B 380B Data Envelopment Analysis Contributed Session

4 - A Two Stage Data Envelopment Analysis Model for the Efficiency Assessments of 39 State’s Wind Power in the United States Umit Saglam, Assistant Professor, East Tennessee State University, Department of Management and Marketing, P.O. Box 70625, Johnson City, TN, 37614, United States, saglam@etsu.edu Wind power is the second largest renewable energy source to generate electricity in the United States. Therefore, in this study, a two-stage Data Envelopment Analysis (DEA) is developed to quantitatively evaluate the relative efficiencies of the 39 state’s wind power performances for the electricity generation. Both input- and output-oriented CCR and BCC models are applied to pre-determined four input and six output variables. The sensitivity analysis is conducted to test the robustness of the DEA models. Tobit regression models are conducted by using the DEA results for the second stage analysis. The DEA results indicate that more than half of the states operate wind power efficiently. 5 - Using Data Envelopment Analysis Approach to Analyze the Impacts of Technical Efficiency in Turkey Erhan Berk, National Defence University, Hava Harp Okulu Komutanligi Yesilyurt, Istanbul, 34149, Turkey, eberk@hho.edu.tr This study aimed to measure the technical efficiency of healthcare centers in Turkey by size and to identify the possible factors affecting their technical inefficiency. In the first stage, an input oriented data envelopment analysis was adopted to compute the technical efficiency scores for three types of healthcare centers by two DEA models. In the second stage, in order to classify the healthcare centers for which the assessment values equal to 1, the super efficiency model was used for further sorting to determine the factors that affect technical inefficiency of the healthcare centers. The study revealed that the average technical efficiency score of healthcare centers was 64%. 381B Stability-constrained Optimal Operation of Electric Power Systems Sponsored: Energy, Natural Res & the Environment Electricity Sponsored Session Chair: Andy Sun, Georgia Institute of Technology, Atlanta, GA, 30312, United States, andy.sun@isye.gatech.edu 1 - Design, Stability and Control of Ad-hoc Microgrids Konstantin Turitsyn, Massachusetts Institute of Technology, Cambridge, MA, United States, turitsyn@mit.edu, Kathleen Cavanagh, Petr Vorobev Low voltage microgrids is a promising technology for bringing power to about 1 billion of people living in non-electrified regions. Modern planning and operation practices cannot be easily downscaled to these microgrids. This talk will introduce a concept of ad hoc microgrid that remain stable for arbitrary interconnection topologies. After discussing the main destabilization mechanisms related to large gain droops, constant power loads and inductive delays in lines, we will develop a systematic theory for derivation of design constraints that guarantee stability for arbitrary topologies. The nature of worst case scenarios and conservativeness of the constraints will be discussed in the end. 2 - A New Voltage Stability-constrained Optimal Power Flow Model: Sufficient Condition, SOCP Representation, and Relaxation Bai Cui, Georgia Tech, Atlanta, GA, United States, bcui7@gatech.edu Simple characterization of the solvability of power flow equations is of great importance in the monitoring, control, and protection of power systems. In this presentation, we introduce a sufficient condition for power flow Jacobian nonsingularity. We show that this condition is second-order conic representable when load powers are fixed. Through the incorporation of the condition, we propose a voltage stability-constrained optimal power flow formulation as a second-order cone program. An approximate model is introduced to improve the scalability of the formulation to larger systems. Extensive computation results on standard instances confirm the effectiveness of the formulation. 3 - Necessary and Sufficient Conditions for Voltage Stability in Homogeneous Balanced Radial Networks Enrique Mallada, Johns Hopkins University, Baltimore, MD, United States, Mallada@jhu.edu, Krishnamurthy Dvijotham, John Simpson-Porco Voltage stability is a critical constraint for the safe operation of power systems. However, enforcing voltage stability in power flow optimization problems is quite challenging due to the implicit nature of the stability constraint. We derive necessary and sufficient conditions on the power injections for the existence of a voltage stable power flow solution in radial distribution networks with homogeneous lines. We further show that the solution satisfies several desirable properties (unique high-voltage solution and voltage-regularity). We use this formulation to show that robust ACOPF in power distribution networks can be solved exactly via a convex relaxation under natural assumptions. SC79

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