Market design test environments

Widergren, Steve; Sun, Junjie; Tesfatsion, Leigh

doi:10.1109/pes.2006.1708927

Cited by 11 publications

(7 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Other studies have focused instead on the design of appropriate market designs, especially in the electricity markets in ACE (Agent Based Computational Economies) settings as well in game-theoretic models (see Amin 2002, andWidergren et al 2006 for surveys of these efforts).…”

Section: The Backgroundmentioning

confidence: 99%

Public policies and changing boundaries of firms in a “history-friendly” model of the co-evolution of the computer and semiconductor industries

Malerba

Nelson

Orsenigo

et al. 2008

Journal of Economic Behavior & Organization

View full text Add to dashboard Cite

show abstract

Section: The Backgroundmentioning

confidence: 99%

Public policies and changing boundaries of firms in a “history-friendly” model of the co-evolution of the computer and semiconductor industries

Malerba

Nelson

Orsenigo

et al. 2008

Journal of Economic Behavior & Organization

View full text Add to dashboard Cite

show abstract

“…The baselines of the producer are obtained by solving the optimization problem (9). In this stage, the producer already considers the possibility to be in imbalance considering the expected imbalance price.…”

Section: Producer and Retailermentioning

confidence: 99%

“…The complex interactions that happen in electricity markets demand a flexible computational environment where designs can be tested and sensitivities to power system and market rule changes can be explored [9]. Agent-based modeling has been extensively used in the literature to model electric systems [10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

DSIMA: A testbed for the quantitative analysis of interaction models within distribution networks

Mathieu

Louveaux

Ernst

et al. 2016

Sustainable Energy, Grids and Networks

View full text Add to dashboard Cite

a b s t r a c tThis article proposes an open-source testbed to simulate interaction models governing the exchange of flexibility services located within a distribution network. The testbed is an agent-based system in which the distribution system operator, the transmission system operator, producers and retailers make their decisions based on mixed-integer linear programs. This testbed helps to highlight the characteristics of an interaction model, the benefits for the agents and eases the detection of unwanted or abusive behaviors which decreases the welfare. The testbed is implemented in Python and the optimization problems are encoded in the modeling language ZIMPL. A web interface is coupled with an instance generator using macroscopic parameters of the system such as the total power production. This testbed is, therefore, well suited to test the implemented interaction models on various scenarios and to extend the implementation to other models. Five interaction models developed with industrial partners are simulated over a year on a 75-bus test system. Simulations show that interaction models relying on active network management, as they have been developed, lead to substantial welfare even though they suffer from a lack of coordination between the DSO and the TSO. A conservative interaction model restricting grid users to an access range that is computed ahead of time to prevent any congestion, avoids shedding distributed generation but considerably restrains the amount of distributed production.

show abstract

“…Other papers that used ABM to study bidding strategy and coalition in electricity market are presented by [17][18][19]. A study by [20] developed an Agent-based Modeling of Electricity Supply (AMES) using Repast to model the wholesale electricity market run by the New England Independent System Operator and the Midwest Independent System Operator (MISO). More general electricity market simulators, EMCAS [21] and MASCEM [22] also use ABM approaches to simulate the operation of other electricity markets.…”

Section: Application Of Abm In Liberalized Electricity Marketmentioning

confidence: 99%

Agent-Based Modeling for Studying the Impact of Capacity Mechanisms on Generation Expansion in Liberalized Electricity Market

Dahlan

2015

Journal of Electrical Engineering and Technology

View full text Add to dashboard Cite

-This paper presents an approach to solve the long-term generation expansion planning problem of the restructured electricity industry using an agent-based environment. The proposed model simulates the generation investment decisions taken by a particular agent (i.e. a generating company) in a market environment taking into account its competitors' strategic investment. The investment decision of a particular company is modeled taking into account that such company has imperfect foresight on the future system development hence electricity prices. The delay in the construction of new plants is also explicitly modeled, in order to compute accurately the yearly revenues of each agent. On top of a conventional energy market, several capacity incentive mechanisms including capacity payment and capacity market are simulated, so as to assess their impact on the investment promotion for generation expansion. Results provide insight on the investment cycles as well as dynamic system behavior of long-term generation expansion planning in a competitive electricity industry.

show abstract

Market design test environments

Cited by 11 publications

References 9 publications

Public policies and changing boundaries of firms in a “history-friendly” model of the co-evolution of the computer and semiconductor industries

Public policies and changing boundaries of firms in a “history-friendly” model of the co-evolution of the computer and semiconductor industries

DSIMA: A testbed for the quantitative analysis of interaction models within distribution networks

Agent-Based Modeling for Studying the Impact of Capacity Mechanisms on Generation Expansion in Liberalized Electricity Market

Contact Info

Product

Resources

About