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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.gov

1 - 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.com

We 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.com

1 - 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.edu

Generally, 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.edu

This 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.com

A 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.com

1 - A Joint Model of Strategic Forest Management, Capacity

Expansion and Logistics

Eldon Gunn, Dalhousie University, Halifax, NS, B3H 4R2

Eldon.Gunn@Dal.Ca

This 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