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INFORMS Philadelphia – 2015

366

TD58

58-Room 110A, CC

New Insights on Electricity Markets with

Uncertain Supply

Sponsor: ENRE – Energy I – Electricity

Sponsored Session

Chair: Juan M. Morales, Associate Professor, Technical University of

Denmark, Matematiktorvet, Building 303b, 008, Kgs. Lyngby, 2800,

Denmark,

jmmgo@dtu.dk

1 - The Benefits of Sharing Reserves Between Countries:

A Case Study of the European Electricity System

Kenneth Van Den Bergh, PhD Researcher, KU Leuven,

Celestijnenlaan 300 Box 2421, Leuven, Belgium,

kenneth.vandenbergh@kuleuven.be,

Robin Broder Hytowitz,

Benjamin Hobbs, William D’Haeseleer, Erik Delarue

Reserves are scheduled day-ahead in order to deal with forecast errors from wind

and sun. This study examines reserve coordination in time and space for the

Central European electricity system. Four scenarios involving various degrees of

coordination for reserves are simulated. A large-scale unit commitment model is

used to simulate the electricity markets. The study indicates savings in reserve

allocation costs of up to 90% with increasing degree of coordination.

2 - Effect of Ramping Pricing Scheme in Systems with High Wind

Energy Penetration

Yves Smeers, Professor Emeritus, Université Catholique de

Louvain, Voie du Roman Pays, 34, Louvain-la-neuve, B-1384,

Belgium,

yves.smeers@uclouvain.be

, Sebastian Martin

We consider the continuous version of an unit commitment problem with wind

penetration, and subject to ramping constraints. The optimization problem

assumes that ramping providers are priced at opportunity cost. We explore the

impact of having different pricing schemes for ramping. We use a

complementarity formulation in several versions that differ to reflect different

policy proposals based on pricing schemes for ramping.

3 - A Stochastic Electricity Market Clearing Formulation with

Consistent Pricing Properties

Victor M. Zavala, Computational Mathematician, Argonne

National Laboratory, 9700 South Cass Avenue, Argonne, IL,

60439, United States of America,

vzavala@mcs.anl.gov

Deterministic clearing formulations introduce arbitrary distortions between day-

ahead and real-time prices that bias economic incentives. We analyze a stochastic

clearing formulation in which the social surplus function induces absolute value

penalties between day-ahead and real-time quantities. We prove that the

formulation yields price distortions that are bounded by the bid prices and we

prove that day-ahead quantities and flows converge to the medians of real-time

counterparts.

4 - On the Inefficiency of the Merit Order in Forward Electricity

Markets with Uncertain Supply

Juan M. Morales, Associate Professor, Technical University of

Denmark, Matematiktorvet, Building 303b, 008, Kgs. Lyngby,

2800, Denmark,

jmmgo@dtu.dk,

Salvador Pineda, Marco Zugno

We derive analytically the dispatch rule for a stylized power system with infinite

transmission capacity under a stochastic market-clearing mechanism. We provide

conditions for this clearing procedure to break the merit order and for virtual

bidding to ensure maximum market efficiency under a classical merit-order

dispatch. Finally, we provide a reinterpretation of these two market-clearing

procedures as members of a broader family that allows for marked-up forward

production costs.

TD59

59-Room 110B, CC

Optimal Design and Operation of Smart

Electrical Grids

Sponsor: ENRE – Energy I – Electricity

Sponsored Session

Chair: Baosen Zhang, University of Washington, 185 Stevens Way,

Seattle, WA, United States of America,

zhangbao@uw.edu

1 - Design of Resilient Distribution Network Against Natural

Disasters: A Robust Optimization Approach

Bo Zeng, Assistant Professor, University of South Florida, Tampa,

4202 E. Fowler Avenue, Tampa, Fl, 33620, United States of

America,

bzeng@usf.edu,

Wei Yuan, Feng Qiu, Chen Chen,

Jianhui Wang

Natural disasters such as Hurricane Sandy have seriously disrupted the power

grids. To increase the resilience of a distribution system under natural disaster

attacks, we propose a resilient distribution network design model considering

hardening and distributed generation unit placement to minimize the load

shedding under worst-case natural disaster attacks.

2 - Electric Resource Optimization with High Penetration Renewables

and Varying Reliability Measures

Cynthia Bothwell, Student, Johns Hopkins University, 117

Meridian Lane, Towson, MD, 21286, United States of America,

cdbothwell@gmail.com

, Calvin Wood

As intermittent wind and solar energy resources increase in use throughout the

electricity sector, techniques to assess system reliability are evolving. The

optimization of investment in new capacity resources changes as a result of the

reliability criteria applied to the system. This work overviews for policy and

decision makers the tradeoffs between reliability criteria and generation

investment with high penetrations of intermittent renewables for capacity

planning and market design.

3 - Scheduling Energy Storage Resources to Provide

Multiple Services

Johanna Mathieu, Assistant Professor, University of Michigan,

1301 Beal Ave, Ann Arbor, Mi, 48109, United States of America,

jlmath@umich.edu

, Goran Andersson, Olivier Megel

Most energy storage devices in power systems are only partially used most of

time, and so they could also be used to help balance electricity supply and

demand. The challenge is how to allocate their energy and power capacities to

different services given uncertainty from multiple sources. We formulate the

scheduling problem and apply both stochastic dynamic programming and

stochastic dual dynamic programming to several case studies, and compare

performance and computational complexity.

4 - Bidding Models for Price-responsive Loads in Electricity Markets

Javier Saez-gallego, PhD Candidate, Technical University of

Denmark, Matematiktorvet Building 303B, 019, Kgs. Lyngby,

2800, Denmark,

jsga@dtu.dk,

Juan M. Morales, Marco Zugno

This paper presents a data-driven approach to estimate the parameters of the

market bid that best represents the stochastic and dynamic behavior of a pool of

price-responsive consumers. The proposed methodology is based on inverse

optimization and is able to leverage exogenous information, besides the electricity

price, to partly explain the parameters of the bid. We use data relative to the

Olympic Peninsula project to asses the performance of the proposed method.

TD60

60-Room 111A, CC

Performance Measurement

Contributed Session

Chair: Huan Liu, PhD, Xi’an Jiaotong University, 28# Xianning West

Road, Shaanxi Province, Xi’an, 710049, China,

liuhuan-look@163.com

1 - Rapid Analysis of Attentional Processes While Looking at Print

Advertisements Based on Eye Tracking

Hirotaka Aoki, Dr., Tokyo Institute of Technology, 2-12-1-W9-75,

Oh-Okayama, Meguro-Ku, Tokyo, 152-8552, Japan,

aoki.h.ad@m.titech.ac.jp

This paper develops an eye tracking-based analysis framework for attentional

processes during viewing print advertisements. The framework consists of a

scheme for classification of information in advertising and principles for data

interpretation from attentional processes perspectives. Based on a case study in

which 20 consumers’ data during looking at insurance advertisements were

collected, the potentials of our framework as well as implications for effective

advertising design are discussed.

2 - Destructive Testing Gauge Capability Analysis

David Kim, Professor, Oregon State University, 204 Rogers,

Corvallis, OR, 97331, United States of America,

david.kim@orst.edu,

Xinyu Luo

This research examines the current state-of-the-art in gauge capability analysis for

destructive testing. Results are then presented that extend the specific destructive

testing situations where gauge repeatability can be estimated.

3 - Project Timeliness or Project Effectiveness:

Which One is Sacrificed?

Asghar Afshar Jahanshahi, Postdoc, Pontifical Catholic University,

Av. Vicuña Mackenna 4860. Macul, Santiago, Chile,

asghar@ing.puc.cl,

Khaled Nawaser

There is a consensus among scholars that real options reasoning is crucial for

project performance under conditions of high environmental uncertainty.

However, few empirical studies have confirmed this claim. Our longitudinal

analysis of 101 electronic commerce projects, drawn from new technology

ventures, indicated the differential effects of real options reasoning on project

performance under conditions of high environmental state, effect and response

uncertainty.

TD58