2016 INFORMS Annual Meeting Program

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INFORMS Nashville – 2016
211
MD09
103B-MCC
Management of Stochastic Resources, Demand, and
Energy Efficiency
Invited: Energy Systems Management
Invited Session
Chair: Lindsay Anderson, Cornell University, 316 Riley Robb Hall,
Ithaca, NY, 14853, United States,
1 - The Value Of Transmission Lines And Its Implications For
Electricity Systems With Stochastic Resources
Alberto J Lamadrid, Lehigh University,
We demonstrate an analytical method for determining the economic value of
individual transmission lines in a meshed network by calculating the total welfare
effects for the system. We show that the uncertainty in system conditions breaks
down the congestion rents paradigm. The results show that a substantial portion
of the economic benefits for an individual line may come from maintaining
system reliability when equipment failures occur.
2 - Optimal Offering Of Wind Power In Energy And Primary
Reserve Markets
Tue Vissing Jensen, Technical University of Denmark, Kgs Lyngby,
Denmark, Pierre Pinson, Tiago Soares,
Hugo Morais, Hugo Morais
As wind power generation comes to dominate electricity systems, wind turbines
may be needed to provide reserves. To allow for this, the reserve market must
accept and price that the wind turbine can fail to deliver reserves when called on.
For such a market, we give analytical results on the optimal energy and reserve
bids for a wind generator under its day-ahead forecast.
3 - Integrating Roof-top Solar PV And Residential Energy Efficiency
In The Carolinas: Feasibility And Impacts On Costs, Reliability
And Emissions
Dalia Patino Echeverri, Duke University, ,
Bandar Alqahtani
We estimate the reliability, environmental, and economic effects of large levels of
roof-top Photovoltaic (PV), and residential energy efficiency penetration within
the services areas of the Duke Energy Carolinas (DEC) and Duke Energy Progress
(DEP). A PV production model based on household density and a gridded hourly
global horizontal irradiance dataset simulates hourly PV power output from roof-
top installations; a demand adjustment model simulates the effects of residential
energy efficiency investments, and a unit commitment and real time economic
dispatch (UC/ED) model simulates hourly system operations.
4 - Energy Efficiency Of Data Center Operating Practices: Server
Clustering, Powering On/off And Bang-bang Control
Young Myoung Ko, Pohang University of Science and Technology,
Pohang, 37673, Korea, Republic of,
Yongkyu Cho
We examine common data center operating practices such as server clustering,
powering on/off, and the bang-bang control in terms of energy efficiency. We add
new constraints reflecting the operating practices to the existing MIP model and
propose an algorithm for constructing energy efficient clusters of servers from the
two upper bounds of the maximum cluster size. Numerical experiments show
that server clustering and the bang-bang control can be used in an energy-
efficient way, but powering on/off alone may not be sufficient.
MD10
103C-MCC
Managing Transitions in Regulated Energy Markets
Sponsored: Energy, Natural Res & the Environment, Energy II Other
Sponsored Session
Chair: Bertrand Williams-Rioux, KAPSARC, Riyadh, 11672,
Saudi Arabia,
Co-Chair: Frederic H Murphy, Temple University, Temple University,
Philadelphia, PA, 19121, United States,
1 - A Hybrid Top-down, Bottom-up Approach For Saudi Arabia
Hossa Al-Mutairi, King Abdullah Petroleum Studies and Research
Center, P.O. Box 88550, Riyadh, Saudi Arabia,
We show how to combine a CGE-like top-down model with a technology-rich
bottom-up energy model in a single Mixed Complementarity Problem (MCP).
Calibrated on Saudi Arabia’s data, this hybrid model will be used to study the
interaction between energy and non-energy sectors and to get insights on the
effects of energy policies on the whole Saudi economy.
2 - North America Natural Gas Model: Impacts Of Market
Deregulation In Mexico
Felipe Feijoo, Pacific Northwest National Laboratory, College Park,
MD, 2, United States,
Mexico has recently launched a new energy regulation, with its focus on
increasing Natural Gas consumption form the electricity sector. It is expected that
the U.S. will serve as the main exporter to Mexico to satisfy their demand. We use
both, the North American Natural Gas Model (NANGAM) and the Global
Assessment Model (GCAM) to assess the short term impacts of the Mexican
energy regulation.
3 - US Biofuel Market And Policy Model – A GAMS/EMP Approach
Adam Christensen, University of Wisconsin - Madison, Madison,
WI, 4, United States,
In this work we discuss the landscape of US biofuel policies (both federal and
state level) and highlight market challenges and opportunities. A policy modeling
tool was developed using the Extended Mathematical Programming (EMP)
framework within GAMS to analyze the complicated network of overlapping
policies, in particular the Renewable Fuel Standard as well as the California Low
Carbon Fuel Standard. The EMP framework is utilized in order to speed the
development of different market models which can help identify effects of market
power for policymakers.
4 - How do Price Caps In China’s Electricity Sector Impact
The Economics Of Coal, Power And Wind? Potential Gains
From Reforms
Bertrand Williams-Rioux, King Abdullah Petroleum Studies And
Research Center, P.O. Box 88550, Riyadh, Saudi Arabia,
China imposes maximum prices by plant type and region on the electricity that
generators sell to utilities. We examine the impact of the price caps on the
electricity sector and on the economics of wind power. We model this sector as a
Stackelberg game formulated as a mixed complementarity problem, calibrated to
2012 data.
MD11
104A-MCC
Network Vulnerability Analysis and its Applications
Sponsored: Optimization, Network Optimization
Sponsored Session
Chair: Neng Fan, University of Arizona, Tucson, AZ, United States,
1 - Subgraph Identification With Connectivity Requirements
Ou Sun, University of Arizona,
Many combinatorial optimization problems, such as the maximum leaf spanning
tree problem and the connected dominating set problem, involve finding a
connected subgraph embedded in a larger graph while satisfying other problem-
specific constraints. These structures appear in many applications, such as wildlife
conservation, forest planning, and power grid islanding. In this talk, we review
some existed approaches by mixed integer constraints for subgraph connectivity,
and also propose some mixed integer constraints and valid inequalities. Some
numerical experiments are performed to compare these approaches.
2 - Reliable Power Grid Expansion With Renewable Integration And
Storage System
Bader Alsuhaim, University of Arizona,
A reliable power grid system is important to ensure the delivery of power to
consumers while minimizing the cost of new technologies. A plan of a power grid
expansion is going to be proposed with different type of renewable energies to
meet the demand and minimize the cost of installation; as well as, different type
of storage systems that would be compared to come up with an optimal solution
of a reliable power grid. The NERC contingency criteria are also considered in the
optimization model, such as line failures, generator failures, loss-of-load, and etc.
Also, numerical experiments and results will be presented.
3 - Multilevel Optimization For Resilient Planning Of Interdependent
Water And Energy System
Shanshan Hou, University of Arizona,
Water is used for energy generation, and the energy network supply power for
water distribution and extraction. They two could be modeled as an
interdependent network. In this talk, we not only consider their operations and
management, but also the planning stage, which contains analysis of the possible
failures to ensure the system resiliency. We build the optimization model to
simulate the water and energy relevant flow network. This model consists of the
facilities that could be built in water network and different generation stations in
energy network.
MD11