INFORMS Philadelphia – 2015
250
MD57
57-Room 109B, CC
Planning Models in Electric Power Systems
Sponsor: ENRE – Energy I – Electricity
Sponsored Session
Chair: Anya Castillo, Federal Energy Regulatory Commission, 888 1st
Street NE, Washington DC, United States of America,
anya.castillo@ferc.gov1 - Optimal Portfolio Investment and Coordinated Scheduling of an
Energy Storage Merchant in the Energy
Roderick Go, Johns Hopkins University, 3400 N. Charles St.,
Ames Hall 313, Baltimore, MD, 21218, United States of America,
rgo1@jhu.edu, Anya Castillo, Dennice F. Gayme, Sonja Wogrin
We assess strategic behavior of a merchant energy storage provider in the bulk
power market through a bilevel model to represent sequential decisions in
investment and operations. We model optimal portfolio investments based on
siting, sizing, and technology mix, and explore the effect of strategic operations,
such as coordinated scheduling, on decisions. We transform this model into a
math program with equilibrium constraints (MPEC), and approximate and solve
as a mixed integer program (MIP).
2 - Proactive Transmission Planning: A Case Study of the
Eastern Interconnection
Evangelia Spyrou, PhD Student, Johns Hopkins University, 3400
N Charles Street, Dept of Geography, Johns Hopkins University,
Baltimore, MD, 21218, United States of America,
elina.spirou@gmail.com, Benjamin Hobbs, Jonathan Ho,
Randell Johnson, James Mc Calley
Traditional transmission planning procedures are being challenged by renewable
integration due to their reactive character. Meanwhile academic literature
proposes the concept of proactive transmission planning. A mixed integer linear
program is applied to estimate the benefits of proactively considering response by
generation investments to transmission investments. We attempt to examine
features of planning procedures that could impede or facilitate optimal planning.
3 - Unit Commitment Approximations in Generation and Transmission
Planning: Efficiency & Accuracy
Benjamin Hobbs, Professor, The Johns Hopkins University, 3400
North Charles Street, Baltimore, MD, United States of America,
bhobbs@jhu.edu, Saamrat Kasina, Jonathan Ho, Sonja Wogrin
Alternative tight relaxations of unit commitment problems that enable large
planning models to be solved with operating subproblems that capture ramp,
start-up, and pmin limits and costs. We examine their performance in the context
of generation and transmission expansion models, including a stochastic
programming analysis of the western interconnection of North America.
4 - Reserve Determination Methods for Variable Generation
Robert Entriken, EPRI, 3420 Hillview Avenue, Palo Alto, CA,
United States of America,
rentrike@epri.comWe present results of a survey of existing practices in certain power system
operators for determining operating reserve requirements for system operators
faced with growing penetrations of variable renewables, such as wind or solar
generators. Building on existing practices, we review methods proposed in
planning and integration studies, as well as in academia, which may become
useful as renewable penetrations increase.
MD58
58-Room 110A, CC
Multi-Agent Decision-Making for Smart
Grids Operation II
Sponsor: ENRE – Energy I – Electricity
Sponsored Session
Chair: Amin Kargarian, Carnegie Mellon University, 5000 Forbs Ave,
Pittuburgh, PA, 15232, United States of America,
amin.kargarian@gmail.com1 - Distributed State Estimation and Energy Management in
Smart Grids
Soummya Kar, Assistant Research Professor, Carnegie Mellon
University, Electrical and Computer Engineering, CMU,
Pittuburgh, PA, 15232, United States of America,
soummyak@andrew.cmu.eduGenerally, it is expected that the grid of the future would differ from the current
system by the increased integration of distributed generation, distributed storage,
demand response, power electronics, and communications and sensing
technologies. In this paper, we discuss distributed approaches, all based on
consensus+innovations, for two common energy management functions: state
estimation and economic dispatch.
2 - Computational Look-ahead SCOPF via ADMM
Sambuddha Chakrabarti, Graduate Student, UT Austin, 1616
Guadalupe Street, Austin, TX, 78705, United States of America,
sambuddha.chakrabarti@gmail.com, Matt Kraning, Ross Baldick,
Eric Chu, Stephen Boyd
We present computational scheme and results of the ADMM based Proximal
Message Passing as applied to solve the look ahead SCOPF to limit post fault line
temperature and current to safe values wrt next set of outages.
3 - Adaptive Bidding Strategies of a Load Serving Entity with
Distributed Energy Resources
Jhi-Young Joo, Assistant Professor, Missouri University of Science
and Technology, 301 W. 16th St, 235 Emerson Electric Co. Hall,
Rolla, MO, 65409, United States of America,
joojh@mst.eduThis talk concerns two problems solved by an agent, a load serving entity (LSE),
within a large-scale energy system. An LSE with different types of demand and
energy resources optimizes energy schedule by mathematical programming. On
the other hand, to optimize bids into the markets, a learning algorithm is used to
adapt to the uncertain market conditions and rewards. The interdependencies
between these two problems within an agent and among multiple agents are
examined.
4 - Active Distribution Grid Operation: A System of
Systems Framework
Amin Kargarian, Carnegie Mellon University, 5000 Forbes Ave,
Pittuburgh, PA, 15232, United States of America,
amin.kargarian@gmail.comA system of systems framework is presented to operate an active distribution grid
composing of several independent entities. The grid structure includes two layers
where the distribution company is in upper layer and microgrids are in lower
layer. A hierarchical optimization algorithm is presented to optimally operate the
entire active distribution grid.
MD59
59-Room 110B, CC
Forest & Timber Management
Sponsor: ENRE – Environment II – Forestry
Sponsored Session
Chair: Nick Kullman, Masters Student, University of Washington, 360
Bloedel Hall, Seattle, WA, United States of America,
nick.kullman@gmail.com1 - A Joint Model of Strategic Forest Management, Capacity
Expansion and Logistics
Eldon Gunn, Dalhousie University, Halifax, NS, B3H 4R2
Eldon.Gunn@Dal.CaThis paper presents a mixed integer programming model that enables the
integrated analysis of strategic forest management, forest industry capacity and
the transport logistics that connect them. Some insights that arise from this model
are discussed.
2 - Route Selection in Forest Tansportation
Patrik Flisberg, Creative Optimization, Tokai, 7945 Cape Town,
South Africa,
pafli@mweb.co.za,Mikael Ronnqvist,
Gunnar Svenson
Determining the best route for logging trucks is difficult as many road features
need to be considered. We describe a system called Calibrated Route Finder that is
used to invoice about 50% of all 2 million forest transports done annually in
Sweden. This system has gradually been developed based on reporting and
requests from the users. Recently, we have included detailed description on stops,
acceleration and breaking to describe emissions and times. We report on detailed
testing and analysis.
3 - Joint Production of Timber and Sitka Deer Habitat Capability on
the Tongass National Forest
Michael Bevers, Dalhousie University, Halifax, NS, B3H 4R2
beversm@gmail.com, Curt Flather, Yu Wei, Greg Hayward,
Mary Friberg, Thomas Hanley, Ben Case
The Tongass NF uses the FRESH model to estimate Sitka deer habitat capability
measured in deer-days based on digestible dry matter and protein from hundreds
of forage species occurring in dozens of vegetative communities potentially
affected by timber harvests. Landscape effects on deer are accounted for using a
moving window analysis. We developed a MILP formulation incorporating FRESH
calculations into a whole-stand timber harvest scheduling model for spatially
optimizing joint production of timber and deer habitat capability on management
units of the Tongass NF.
MD57