Informs 2015

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INFORMS Philadelphia – 2015
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3 - Optimal Coordination of Power Generation Scheduling with an EV
Support Service System
Yuping Huang, 12800 Pegasus Dr. RM 320, Orlando, Fl, 32817,
United States of America, , Qipeng Zheng
As electric vehicles become more mainstream, the capacitated electric vehicles can
be connected to the local electric grids and employed to reduce the variability of
renewable energy by scheduling electric vehicles charging/discharging. We
develop a price-based unit commitment model in support of the hourly
operations of a personal transit system. A two-stage stochastic mixed integer
programming model is formulated to optimize the coordinated operations of
power generation and electric vehicles.
4 - Stochastic Optimization for Unit Commitment and Electricity
Market Operation: A Review
Zhi Zhou, Argonne National Laboratory, 9700 South Cass Ave.
Bldg 221, Lemont, IL, 60437, United States of America,
We present a comprehensive review of the application of stochastic programming
to the UC problem and associated electricity market operations. The review
discusses different characteristics of stochastic UC formulations. Moreover, we
compare the performance of stochastic and deterministic UC models reported in
the literature. Finally, the review summarizes the current status and prospects for
industrial adaptation of stochastic methods in electricity market operations.
WE58
58-Room 110A, CC
Bi- and Multi-Level Optimization in Energy Systems
Sponsor: ENRE – Energy II – Other (e.g., Policy, Natural Gas,
Climate Change)
Sponsored Session
Chair: Qipeng Zheng, Assistant Professor, University of Central Florida,
12800 Pegasus Dr., P.O. Box 162993, Orlando, FL, 32817,
United States of America,
1 - Boundedly Rational User Equilibrium Models for Electricity
Consumer Market Studies in Smart Grid
Guanxiang Yun, PhD Student, University of Central Florida, 8112
Pamlico St, Orlando, Fl, 32817, United States of America,
Qipeng Zheng
We proposed a boundedly ration model for the user’s consumption of energy
schedule with the smart grid. Under this principle, the total cost of the system can
vary between a lower and upper bound. In order to decrease the upper bound we
introduce perturbations for the unit price of the energy to control the user’s
behavior. We use multiple methods to calculate. And it is interesting to found that
the result of lagrangian method have strong duality even in the non-convex
feasible region.
2 - Renewable-based Generation Expansion under A Green
Certificate Market
Salvador Pineda, Associate Professor, Department of
Mathematical Sciences, University of Copenhagen,
Universitetsparken 5, Copenhagen, 2100, Denmark,
, Andreas Bock
Green energy certificates represent a policy instrument to incentive renewable-
based electricity generation. In this talk we present a family of generation
expansion problems (GEP) to determine the optimal capacity of renewable
generation including both an electricity and a certificate market. The GEP is first
formulated as a complementarity problem assuming perfect competition. If
producers compete a la Cournot, the GEP is reformulated as a mathematical
problem with equilibrium constraints.
3 - An Integrated Economic Equilibrium Model for Electricity Markets
Lihui Bai, University of Louisville, Speed School of Engineering,
Louisville, 40292, United States of America,
, Swapna Sri Pothabathu,
Qipeng Zheng, Andrew Liu
We consider an integrated economic equilibrium model for an electricity market
system consisting of electricity consumers, power generators, grid owners, coal
producers, natural gas producers and pipeline owners. In this equilibrium model,
each individual player optimizes its own subsystem while market-clearance
conditions are satisfied wherever players interact with each other. This model can
assist decision making and planning for energy policies. Numerical results will be
reported.
4 - A Bi-level Decision Dependent Stochastic Programming Model for
Facility Investment Planning
Yiduo Zhan, PhD Student, University of Central Florida, 12800
Pegasus Drive, P.O. Box 162993, Orlando, FL, 32816, United
States of America, , Qipeng Zheng
A two-stage bilevel decision dependent stochastic model is proposed to tackle the
facility investment planning problems. This model addresses both exogenous and
endogenous uncertainties. The upper-level focuses on a long-term generation
planning problem. The lower-level represents an electricity pricing problem that
addresses the market clearing consideration with local transmission network.
WE59
59-Room 110B, CC
Technology Management
Contributed Session
Chair: Bruce Pollack-Johnson, Villanova University, 800 Lancaster
Avenue, Villanova, PA, 19085, United States of America, bruce.pollack-
1 - Equilibrium Structure of Fixed-cost-reducing Alliances in New
Technology Development
Hiroki Sano, Student, McCombs School of Business, The
University of Texas at Austin, 2110 Speedway Stop B6500,
Austin, TX, 78712-1277, United States of America,
, Edward Anderson
Motivated by alliance formation between semiconductor manufacturers in new
technology development, we study how competing firms’ cooperative decisions in
a new market entry opportunity can be stabilized from a game-theoretic
perspective. We discuss the equilibrium alliance structure when firms can be
asymmetric in their individual cost efficiency and relative market power. We also
address social efficiency of alliance formation assuming that an alliance incurs an
additional cost of cooperation.
2 - Product Architecture and Trade-ins for Managing
Sequential Innovation
Houcai Shen, Nanjing University, No 22 Hankou Road,
Nanjing, China, , Zican Luo
Science and technology advances drive firms to continually enhance their
product’s performance and launch sequentially improving offerings. In this paper,
we study the product design issue for the durable product when it is sequentially
improved and the tradein policy is used, i.e. the integral architecture or the
modular architecture?
3 - Putting the Genie to Work: Positioning Firms in the Value Chain to
Profit from 3D Printing
Anshuman Tripathy, Indian Institute of Management Bangalore,
Bannerghatta Road, Bangalore, India,
Harsh Ketkar, Onkar Kulkarni
We posit that 3D printing makes radical innovation at the product level more
feasible. Additionally, it makes manufacturing more knowledge-intensive and
customer-oriented. Firms can profit from this technology by deploying non-
imitable complementary assets and developing unique capabilities. Through our
detailed study of a 3D Printing firm, we provide definitive frameworks for
analysing business models in 3D printing and finding a niche in which a firm may
enter so as to profit from 3D printing.
4 - A Structural Equation Model of the Analytics Investment Decision
Bruce Pollack-Johnson, Villanova University, 800 Lancaster
Avenue, Villanova, PA, 19085, United States of America,
, Matthew Liberatore,
Suzanne Clain
The purpose of this research is to model the relationships between the progression
for the development of a firm’s analytics capabilities, firm size, organizational
slack, and industry competitiveness as they affect the decision to invest in
analytics. Structural equation modeling is used to investigate the relationships.
This study draws on data obtained from firms that participated in a series of
intensive workshops held by IBM.
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