Fall 2017 Meetings: Mondays and Fridays, 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 transmission and distribution (ITD) system operations. This investigation will be carried out in part by means of an empirically based computational modeling of an ITD 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 ITD 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 (GRA, ISU ECpE PhD Program)
Shanshan Ma (GRA, ISU ECpE PhD Program)
Hieu Trung Nguyen (Post-Doctoral Research Associate, Coover Hall, ISU)
Huajie Ding, Pierre Pinson, Zechun Hu, Jianhui Wang, Yonghua Song (2017), "Optimal Offering and Operating Strategy for a Large Wind-Storage System as a Price Maker", IEEE Transactions on Power Systems, to appear.
Leigh Tesfatsion (2017), "Modeling Economic Systems as
Locally-Constructive Sequential Games"(WP,pdf,565KB),
Journal of Economic Methodology, Volume 24, Issue 4, 384-409.
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),
In: Sean Meyn, Tariq Samad, Sonja Glavaski, Ian Hiskens, and Jakob Stoustrup (Eds.), Energy Markets and Responsive Grids: Modelling, Control, and Optimization, The IMA Volumes in Mathematics and its Applications Series, Springer, Fall 2017, to appear.
Changzheng Shao, Yi Ding, Jianhui Wang, and Yonghua Song (2017), "Modeling and Integration of Flexible Demand and Heat and Electricity Integrated Energy System", IEEE Transactions on Sustainable Energy, to appear.
Bowen Hua, Ross Baldick, and Jianhui Wang (2017), "Representing Operational Flexibility in Generation Expansion Planning through Convex Relaxation of Unit Commitment", IEEE Transactions on Power Systems, to appear.
Qi Wang, Chunyu Zhang, Jianhui Wang, Pierre Pinson, and Jacob Ostergaard (2017), "Real-Time Trading Strategies of Proactive DISCO with Heterogeneous DG Owners", IEEE Transactions on Smart Grid, to appear.
Chunyu Zhang, Qi Wang, Jianhui Wang, Pierre Pinson, Juan M. Morales, and Jacob Ostergaard (2017), "Real-Time Procurement Strategies of a Proactive Distribution Company with Aggregator-Based Demand Response", IEEE Transactions on Smart Grid, to appear.
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.
Project-Related Reports (Chronological Order)
Shanshan Ma, Zhaoyu Wang, and Leigh Tesfatsion (2017), "Swing Contracts with Dynamic Reserves for Flexible Service Management"(ISU Digital Repository),
Economics Working Paper 33 (17032), Department of Economics, Iowa State University, Ames, IA.
Tianguang Lu, Zhaoyu Wang, Jianhui Wang, Qian Ai, and Chong Wang (2017), "A Data-Driven Stackelberg Market Strategy for Demand Response-Enabled Distribution Systems", under journal review.
Auswin G. Thomas and Leigh Tesfatsion (2017), "Braided Cobwebs: Cautionary Tales for Dynamic Retail Pricing in End-to-End Power Systems"(WP,pdf,1MB),
Economics Working Paper No. 17028, Department of Economics, Iowa State University, Ames, IA.
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.
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.
ITD Project Team (via Skype), "Transactive Energy System Designs for End-to-End Power Systems with Massively Distributed Energy Resources", PNNL TESP Workshop, Richland, WA, October 16, 2017.
Leigh Tesfatsion, "Agent-Based Modeling Tools for Electric Power Market Design: Implications for Macro/Financial Policy", Heterogeneous Agents and Agent-Based Modeling: The Intersection of Policy and ResearchM, Joint Conference of the Office of Financial Research (U.S. Treasury), Brandeis University, and the Bank of England, held at U.S. Treasury, Washington, D.C., September 21-22, 2017.
Leigh Tesfatsion, "Electric Power Markets in Transition: Agent-Based Modeling Tools for Transactive Energy Support" (via Skype), Amsterdam Business School, Amsterdam,
the Netherlands, June 1, 2017.
Leigh Tesfatsion, "Modeling Economic Systems as Locally Constructive Sequential Games", Social Behavioral Modeling and Simulation Workshop, Sponsored by the Defense Advanced Research Project Agency (DARPA), RAND Corporation, Santa Monica, CA, April 3-4, 2017.
Leigh Tesfatsion, "Economic Systems as Constructively Rational Games: Oh, the Places We Could Go!", International Congress on Agent Computing, George Mason University, Nov 29-30, 2016.
Leigh Tesfatsion, Keynote Address, "Economic Systems as Constructively Rational Games: Oh, the Places We Could Go!", Economics in the Era of Natural Computation and Big Data, Duke Forest Conference, Durham, North Carolina, Nov. 11-13, 2016.
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.
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.
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.
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/Python)
AMES Wholesale Power Market Test Bed,
developed in Java/Python, is an extensible and modular agent-based computational laboratory for studying the dynamic efficiency and reliability of wholesale power markets structured in accordance with guidelines issued by the U.S. Federal Energy Regulatory Commission. AMES is an acronym for Agent-based Modeling of Electricity
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. AMES permits: (i) the creation and
storage of load scenarios; (ii) specification of behavioral rules (e.g., bid/offer methods, learning methods) for market participants; (iii) parameter initialization and editing (e.g., for generator cost functions); and (iv) output reports through table and chart displays.
AMES software downloads, manuals, tutorials, and publications can be accessed at the
GridLAB-D: Electric Energy Distribution Platform (open source, C++/C)
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
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.
Maria Lorena Tuballa and Michael Lochinvar Abundo, "A Review of the Development of Smart Grid Technologies"(DOI Link),
Renewable and Sustainable Energy
Reviews 59 (2016), 710-723.
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.