Integrated Transmission and Distribution Project: Homepage


Last Updated: 4 March 2017

Site maintained by:
Leigh Tesfatsion
Professor of Economics, Mathematics,
   & Electrical and Computer Engineering
Economics Department/375 Heady
Iowa State University
Ames, Iowa 50011-1070
http://www2.econ.iastate.edu/tesfatsi/
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Integrated T&D System

Table of Contents:

Regular Meeting Time/Place for ITD Project Group:

Spring Semester Meetings: M, 2:30-5pm, Heady 468D

ITD Project Description

The growing penetration of diverse variable energy resources (wind, solar, ...) in modern electric power systems at both the transmission and distribution (T&D) levels has increased the uncertainty of net load as well as the frequency of strong ramp events, complicating the maintenance of net load balance. In response to these trends, power system researchers and operators are proposing new market-based initiatives intended to facilitate the efficient and reliable provision of power and ancillary services from a wide array of T&D resources. The implementation of such initiatives implies tighter feedback connections between T&D system levels.

Three major premises of this project are therefore as follows: First, to ensure efficient and reliable operation of future power systems, researchers need to consider with care the integrated operation of T&D systems over time. Second, researchers need to develop scalable market-based approaches that permit the efficient flexible procurement of power and ancillary services from distributed T&D resources as the number of these resources continues to increase. Third, to evaluate the technical and financial feasibility of these approaches in advance of implementation, researchers need computational frameworks that permit integrated T&D systems to be modeled and studied as coherent dynamic systems with grid sizes ranging from small to realistically large, and with an appropriate degree of empirical verisimilitude.

A primary goal of this project is to investigate the ability of distributed energy resource (DER) aggregators making use of innovative types of swing contracts to ensure the availability and real-time provision of power and ancillary services from DERs in flexible form in support of integrated T&D system operations. This investigation will be carried out in part by means of an empirically based computational modeling of an integrated T&D system.

Based on preliminary work, the conjecture is that swing contracting for DER aggregators will permit a new robust-control approach to the management of risks and uncertainties for integrated T&D systems that does not require detailed scenario and probability specifications or reliance on overly conservative worst-case designs.

ITD Project Participants (Alphabetical Order)

Swathi Battula (RA, ISU ECpE PhD Program)

Yanda Jiang (RA, ISU ECpE PhD Program)

Shanshan Ma (RA, ISU ECpE PhD Program)

Trung Hieu Nguyen (Post-Doctoral Research Associate, ISU)

Leigh Tesfatsion (Professor of Econ, Math, and ECpE, 375 Heady, ISU)

Jianhui Wang (Fellow, Computation Institute, University of Chicago)

Zhaoyu Wang (Assistant Professor of ECpE, 1113 Coover Hall, ISU)

Contract & Grant Support

PNNL Project (Development of an Integrated T&D Test System)
Sponsor: Pacific Northwest National Laboratory (PNNL)
Title: "Development of an Integrated Transmission and Distribution Test System to Evaluate Transactive Energy Systems"
PI: Leigh Tesfatsion
CoPI: Zhaoyu Wang
Collaborators: PNNL Team
Start Date of Contract: April 1, 2017
Duration of Contract: Two Years

DOE Project (Flexible Service Provision within Integrated Transmission and Distribution Systems)
Sponsor: Office of Electricity Delivery and Energy Reliability, U.S. Department of Energy (DOE)
Title: "Flexible Service Contracting for Risk Management within Integrated Transmission and Distribution Systems"
PI: Zhaoyu Wang
CoPI: Leigh Tesfatsion
CoPI: Jianhui Wang
Start Date of Award: January 1, 2017
Duration of Award: Three Years

EPRC Project (Effects of Demand Response on Integrated Power System Operations):
Sponsor: Electric Power Reseach Center (EPRC)
Title: "Integrated Distribution and Transmission Effects of Demand-Response Initiatives"
PI: Leigh Tesfatsion
Start Date of Award: August 1, 2015
Duration of Award: One Year

Project-Related Reports/Pubs (Chronological Order)

Leigh Tesfatsion (2017), "Modeling Economic Systems as Locally-Constructive Sequential Games" (WP,pdf,565KB), Economics Working Paper No. 17022, Department of Economics, Iowa State University, Ames, IA.

Leigh Tesfatsion (2017), "Electric Power Markets in Transition: Agent-Based Modeling Tools for Transactive Energy Support", In Hommes, C., LeBaron, B., Eds. Handbook of Computational Economics 4: Heterogeneous Agent Models. Elsevier:Amsterdam, the Netherlands, to appear.

Wanning Li and Leigh Tesfatsion (2017), "A Swing-Contract Market Design for Flexible Service Provision in Electric Power Systems" [(WP,pdf,463KB), (Talk Slides,pdf,694KB)], Economics Working Paper No. 17020, Department of Economics, Iowa State University, Ames, Iowa.

Wanning Li and Leigh Tesfatsion (2017), "An 8-Zone ISO-NE Test System with Physically-Based Wind Power" (pdf,870KB), Economics Working Paper No. 17017, Department of Economics, Iowa State University, Ames, Iowa.

Dheepak Krishnamurthy, Wanning Li, and Leigh Tesfatsion (2016), "An 8-Zone Test System based on ISO New England Data: Development and Application" (pdf, 642KB), IEEE Transactions on Power Systems, Vol. 31, No. 1, January, 234-246.

Zhaoyu Wang and Yanyi He (2016), "Two-stage Optimal Demand Response with Battery Energy Storage Systems", IET Generation, Transmission and Distribution, vol. 10, no. 5, April, 1286-1293.

Deung-Yong Heo and Leigh Tesfatsion (2015), "Facilitating Appropriate Compensation of Electric Energy and Reserve through Standardized Contracts with Swing" (Preprint,pdf,902KB), Journal of Energy Markets, Vol. 8, No. 4, December, 93-121.

Zhaoyu Wang, Bokan Chen, Jianhui Wang, and Miroslav Begovic (2015) "Stochastic DG Placement for Conservation Voltage Reduction based on Multiple Replications Procedure", IEEE Transactions on Power Delivery, Vol. 30, No. 3, June, 1039-1047.

Zhaoyu Wang, Bokan Chen, Jianhui Wang, Miroslav Begovic, and Chen Chen (2015), "Coordinated Energy Management of Networked Microgrids in Distribution Systems", IEEE Transactions on Smart Grid, Vol. 6, No. 1, January, 45-53.

Hongbin Sun, Qinglai Guo, Borning Zhang, Ye Guo, Zhengshuo Li, Jianhui Wang (2015), "Master-slave-splitting based Global Power Flow Method for Integrated Transmission and Distribution Analysis", IEEE Transactions on Smart Grid, Vol. 6, No. 3, 1484–1492.

Chaoyue Zhao, Qianfan Wang, Jianhui Wang, Yongpei Guan (2014), "Expected Value and Chance Constrained Stochastic Unit Commitment Ensuring Wind Power Utilization", IEEE Transactions on Power Systems, Vol. 29, No. 6, 2696–27054.

Chen Chen, Jianhui Wang, Shalinee Kishore (2014), "A Distributed Direct Load Control Approach for Large-Scale Residential Demand Response", IEEE Transactions on Power Systems, Vol. 29, No. 5, September, 2219 - 2228.

Zhaoyu Wang, Bokan Chen, Jianhui Wang, Jinho Kim, and Miroslav Begovic (2014), "Robust Optimization based Optimal DG placement in Microgrids", IEEE Transactions on Smart Grid, Vol. 5, No. 5, September, 2173-2182.

Leigh S. Tesfatsion, César A. Silva-Monroy, Verne W. Loose, James F. Ellison, Ryan T. Elliott, Raymond H. Byrne, and Ross T. Guttromson (2013), "New Wholesale Power Market Design Using Linked Forward Markets: A Study for the DOE Energy Storage Systems Program" (pdf,1.4MB), Sandia National Laboratories Report, SAND2013-2789, Unlimited Release, April.

Project-Related Presentations (Chronological Order)

Auswin G. Thomas and Leigh Tesfatsion, "Using Test Systems to Explore Integrated Transmission and Distribution System Operations with SmartGrid Functionality: A Demand- Response Illustration", IEEE PES General Meeting, Boston, MA, July 17-21, 2016.

Wanning Li and Leigh Tesfatsion, "Market Provision of Flexible Energy/Reserve Contracts: Optimization Formulation", Proceedings, IEEE PES General Meeting, Boston, MA, July 17-25, 2016.

Wanning Li and Leigh Tesfatsion, "Market Provision of Flexible Energy/Reserve Contracts", FERC Technical Conference, Washington, D.C., June 27-29, 2016.

Leigh Tesfatsion, "Facilitating Flexible Service Provision in Electric Power Markets via Swing Contracting", Control at Large Scales: Energy Markets and Responsive Grids, Institute for Mathematics and its Applications (IMA), Mpls, May 9-13, 2016.

Steve Widergren, Koen Kok, and Leigh Tesfatsion, "Transactive Energy Systems", Webinar, IEEE SmartGrid, 10 March 2016.

Koen Kok, Steve Widergren, and Leigh Tesfatsion, "Intelligent Systems Support for Transactive Energy Systems: The Fundamentals", Half-Day Tutorial, IEEE Power and Energy Society General Meeting, Denver, CO, July 26-30, 2015.

Leigh Tesfatsion and Deung-Yong Heo, "Facilitating Appropriate Compensation of Electric Energy and Reserve Through Standardized Contracts with Swing," Panel Session: Effects of Contract Design on Electricity Market Performance with Increased Penetration of Distributed Energy Resources and Variable Generation, IEEE Power and Energy Society General Meeting, Denver, CO, July 26-30, 2015.

Auswin G. Thomas and Leigh Tesfatsion, "Integrated Transmission and Distribution Effects of Demand-Side Participation," Panel Session: Wholesale and Retail Market Interaction Requirements for Effective Demand-Side Participation, IEEE Power and Energy Society Meeting, Denver, CO, July 26-30, 2015.

Software

Eight Zone ISO-NE Test System (open source, Java/Python, developed using AMES V4.0)

An ISU research team has developed an open source 8-Zone ISO-NE Test System based on structural attributes and data from the ISO New England (ISO-NE). The Java/Python code for this test system, together with data for an illustrative test case, can be found here: code/data repository site.

A detailed description of the 8-Zone ISO-NE Test System, together with illustrative applications, can be found in the following article and report:

Dheepak Krishnamurthy, Wanning Li, and Leigh Tesfatsion, "An 8-Zone Test System based on ISO New England Data: Development and Application" (pdf,642KB), IEEE Transactions on Power Systems, Vol. 31, Issue 1, January 2016, 234-246.
Abstract: This study develops an open-source 8-zone test system for teaching, training, and research purposes that is based on ISO New England structural attributes and data. The test system models an ISO-managed wholesale power market populated by a mix of generating companies and load-serving entities that operates through time over an 8-zone AC transmission grid. The modular extensible architecture of the test system permits a wide range of sensitivity studies to be conducted. To illustrate the capabilities of the test system, we report energy cost-savings outcomes for a comparative study of stochastic versus deterministic DAM Security Constrained Unit Commitment (SCUC) formulations under systematically varied reserve requirement levels for the deterministic formulation.

Wanning Li and Leigh Tesfatsion, "An 8-Zone ISO-NE Test System with Physically-Based Wind Power," (pdf,870KB), Economics Working Paper No. 17017, Department of Economics, Iowa State University, January 2017.
Abstract: This study extends the agent-based 8-Zone ISO-NE Test System to include wind turbine agents, each characterized by location, physical type, and an output curve mapping local wind speed into wind power output. Increases in wind power penetration (WPP) are modeled as build-outs of investment queues for planned wind turbine installations. The extended system is used to study the effects of increasing WPP under both stochastic and deterministic day-ahead market (DAM) formulations for security-constrained unit commitment (SCUC). For each tested WPP, the expected cost saving resulting from a switch from deterministic to stochastic DAM SCUC is found to display a U-shaped variation as the reserve requirement (RR) for deterministic DAM SCUC is successively increased. Moreover, the RR level resulting in the lowest expected cost saving systematically increases with increases in WPP.

AMES Wholesale Power Market Test Bed (open source, Java)

The AMES Wholesale Power Market Test Bed, developed entirely in Java by Hongyan Li, Junjie Sun, Leigh Tesfatsion, and Sean Mooney, is an extensible and modular agent-based computational laboratory for studying the dynamic efficiency and reliability of wholesale power markets restructured in accordance with guidelines issued by the U.S. Federal Energy Regulatory Commission. AMES is an acronym for Agent-based Modeling of Electricity Systems.

AMES models strategically-learning traders interacting over time in an ISO-managed wholesale power market operating over an AC transmission grid subject to congestion effects. Congestion on the grid is managed by means of locational marginal prices derived from optimal power flow (OPF) solutions for bid/offer-based DC-OPF optimizations.

AMES is a free open source tool suitable for research, teaching, and training applications. It is designed for the intensive experimental study of ISO-managed wholesale electric power systems operating over small to medium-sized AC transmission grids. A graphical user interface permits: (i) the creation, modification, analysis and storage of scenarios; (ii) parameter initialization and editing; (iii) specification of behavioral rules (e.g., learning methods) for market participants; and (iv) output reports through table and chart displays.

AMES software downloads, manuals, tutorials, and publications can be accessed at the AMES Homepage.

GridLAB-D: Electric Energy Distribution Platform (open source, C++/C)

GridLAB-D is a power distribution simulation platform developed by the U.S. Department of Energy at Pacific Northwest National Laboratory (PNNL) in Richland, Washington. PNNL maintains a GridLAB-D Site at SourceForge. The following article provides a general introduction to GridLAB-D:

David P. Chassin, Jason C. Fuller, and Ned Djilali, GridLAB-D: An Agent-Based Simulation Framework for Smart Grids (pdf,2.9M), Journal of Applied Mathematics, Vol 2014, Article ID 492320.

Online Background Materials

Articles and Reports:

NAS, Analytic Research Foundations for the Next-Generation Electric Grid (pdf,9.3MB), National Academies of Science, The National Academies Press, Washington, D.C., 2016.

Philipp Ringler, Dogan Keles, Wolf Fichtner, "Agent-Based Modelling and Simulation of Smart Electricity Grids and Markets - a Literature Review" (DOI Link), Renewable and Sustainable Energy Reviews 57 (2016),205-2015.

Tuballa, M.L., Abundo, M.L. A Review of the Development of Smart Grid Technologies (DOI Link), Renewable and Sustainable Energy Reviews 59 (2016), 710-723.

Websites:

General Resources on Electricity Restructuring

Agent-Based Computational Electricity Market Research

EE/Econ 458: Economic Systems for Electric Power Planning
Note: This power economics course has been designed for long-distance access. All lecture notes and assigned readings are posted on-line.

Open-Source Software for Electricity Market Research, Teaching, and Training

MISO: Midcontinent ISO Homepage

ISO-NE: ISO New England Homepage

PJM Homepage

NY-ISO: New York ISO Homepage

CAISO: California ISO Homepage

ERCOT: Electric Reliability Council of Texas Homepage

SPP: Southwest Power Pool Homepage

The Midcontinent Independent System Operator (MISO) maintains a MISO Dynamic LMP Contour Map for real-time LMPs, updated every five minutes, accompanied by information in chart and tabular form.

The New England Independent System Operator (ISO-NE) maintains a ISO-NE Dynamic LMP Contour Maps for both day-ahead and real-time LMPs, refreshed every five minutes. Note: Viewing the contour maps at this site requires a Java-enabled browser.

The New York Independent System Operator (NYISO) maintains NYISO LMP Contour Maps for both day-ahead and real-time LMPs, refreshed every two minutes. Note: Viewing the contour maps at this site requires a Java-enabled browser.