Core-Selecting Mechanisms in Electricity Markets

Karaca, Orçun; Kamgarpour, Maryam

doi:10.1109/tsg.2019.2958710

Cited by 14 publications

(3 citation statements)

References 60 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…MAS contains several files. Intelligent creatures work together to solve problems beyond their capabilities [ 15 ]. MAS has been used in power market modeling, network protection [ 16 ], troubleshooting, and network control in recent years.…”

Section: Introductionmentioning

confidence: 99%

Multi-Agent Systems for Resource Allocation and Scheduling in a Smart Grid

Binyamin

Slama

2022

Sensors

View full text Add to dashboard Cite

Multi-Agent Systems (MAS) have been seen as an attractive area of research for civil engineering professionals to subdivide complex issues. Based on the assignment’s history, nearby agents, and objective, the agent intended to take the appropriate action to complete the task. MAS models complex systems, smart grids, and computer networks. MAS has problems with agent coordination, security, and work distribution despite its use. This paper reviews MAS definitions, attributes, applications, issues, and communications. For this reason, MASs have drawn interest from computer science and civil engineering experts to solve complex difficulties by subdividing them into smaller assignments. Agents have individual responsibilities. Each agent selects the best action based on its activity history, interactions with neighbors, and purpose. MAS uses the modeling of complex systems, smart grids, and computer networks. Despite their extensive use, MAS still confronts agent coordination, security, and work distribution challenges. This study examines MAS’s definitions, characteristics, applications, issues, communications, and evaluation, as well as the classification of MAS applications and difficulties, plus research references. This paper should be a helpful resource for MAS researchers and practitioners. MAS in controlling smart grids, including energy management, energy marketing, pricing, energy scheduling, reliability, network security, fault handling capability, agent-to-agent communication, SG-electrical cars, SG-building energy systems, and soft grids, have been examined. More than 100 MAS-based smart grid control publications have been reviewed, categorized, and compiled.

show abstract

Section: Introductionmentioning

confidence: 99%

Multi-Agent Systems for Resource Allocation and Scheduling in a Smart Grid

Binyamin

Slama

2022

Sensors

View full text Add to dashboard Cite

show abstract

“…Multi-agent systems are pervasive across various fields, including engineering (Raja and Grammatico, 2021; Karaca and Kamgarpour, 2020;Han et al, 2019;Fele et al, 2017Fele et al, , 2018, economics, and social sciences (McCain, 2008). Even though agents often behave as self-interested entities, their limited ability to improve their utility can, in certain scenarios, motivate them to form coalitions to achieve a higher individual payoff.…”

Section: Introductionmentioning

confidence: 99%

Probabilistically Robust Stabilizing Allocations in Uncertain Coalitional Games

Pantazis

Fabiani

Fele

et al. 2022

IEEE Control Syst. Lett.

View full text Add to dashboard Cite

We consider multi-agent coalitional games with uncertainty in the coalitional values. We provide a novel methodology to study the stability of the grand coalition in the case where each coalition constructs ambiguity sets for the (possibly) unknown probability distribution of the uncertainty. As a less conservative solution concept compared to worst-case approaches for coalitional stability, we consider a stochastic version of the so-called core set, i.e., the expected value core. Unfortunately, without exact knowledge of the probability distribution, the evaluation of the expected value core is an extremely challenging task. Hence, we propose the concept of distributionaly robust (DR) core. Leveraging tools from datadriven DR optimization under the Wasserstein distance, we provide finite-sample guarantees that any allocation which lies in the DR core is also stable with respect to the true probability distribution. Furthermore, we show that as the number of samples grows unbounded, the DR core converges almost surely to the true expected value core. We dedicate the last section to the computational tractability of finding an allocation in the DR core.

show abstract

“…We kindly refer to[14,16,19] for the applications of core-selecting auctions in an electricity market setting.…”

mentioning

confidence: 99%

A market-based approach for enabling inter-area reserve exchange

Karaca,

Delikaraoglou,

Kamgarpour

2021

Preprint

Self Cite

View full text Add to dashboard Cite

Considering the sequential clearing of energy and reserves in Europe, enabling inter-area reserve exchange requires optimally allocating inter-area transmission capacities between these two markets. To achieve this, we provide a market-based allocation framework and derive payments with desirable properties. The proposed min-max least core selecting payments achieve individual rationality, budget balance, and approximate incentive compatibility and coalitional stability. The results extend the works on private discrete items to a network of continuous public choices.

show abstract

Core-Selecting Mechanisms in Electricity Markets

Cited by 14 publications

References 60 publications

Multi-Agent Systems for Resource Allocation and Scheduling in a Smart Grid

Multi-Agent Systems for Resource Allocation and Scheduling in a Smart Grid

Probabilistically Robust Stabilizing Allocations in Uncertain Coalitional Games

A market-based approach for enabling inter-area reserve exchange

Contact Info

Product

Resources

About