Multi-agent systems in a distributed smart grid: Design and implementation

Pipattanasomporn, Manisa; Feroze, Hassan; Rahman, Saifur

doi:10.1109/psce.2009.4840087

Cited by 557 publications

(266 citation statements)

References 16 publications

Supporting

Mentioning

264

Contrasting

Unclassified

Order By: Relevance

“…Platforms in the literature mostly act as a middleware and focus on the coupling of a MAS platform (JADE [11] being the most popular) with an electrical simulator and data exchange formats [1], [23], [21]. The designs provided in papers that present models [16], [8] fail to acknowledge either the simulation or the control aspects and often both of them, limiting their applicability. Finally, while most control algorithms are backed by experimental simulations, they are coded specifically for non smart grid environments and therefore fail to be reused and extended.…”

Section: Related Workmentioning

confidence: 99%

GRENAD, a Modular and Generic Smart-Grid Framework

Ductor¹,

Gil-Quijano²,

Stefanovitch³

et al. 2015

Annals of Computer Science and Information Systems

View full text Add to dashboard Cite

Section: Related Workmentioning

confidence: 99%

GRENAD, a Modular and Generic Smart-Grid Framework

Ductor¹,

Gil-Quijano²,

Stefanovitch³

et al. 2015

Annals of Computer Science and Information Systems

View full text Add to dashboard Cite

“…The potential system-level consequences of financial markets are reflected through the behaviors of sets of agents [3]. Agents in a Multi-Agent System (MAS) are not independent, they are social-able in that they interact with other agents via some kinds of agent communication languages, also they perceive and react to their environments [4]. The communication between agents is usually based on a social network, and there are already some artificial stock markets using social networks as the communication topology between agents, such as SimStockExchange [5].…”

Section: Introductionmentioning

confidence: 99%

An Improved Platform for Multi-Agent Based Stock Market Simulation in Distributed Environment

Xiang

Wang

et al. 2015

IEICE Trans. Inf. & Syst.

View full text Add to dashboard Cite

SUMMARYMulti-agent based simulation has been widely used in behavior finance, and several single-processed simulation platforms with Agent-Based Modeling (ABM) have been proposed. However, traditional simulations of stock markets on single processed computers are limited by the computing capability since financial researchers need larger and larger number of agents and more and more rounds to evolve agents' intelligence and get more efficient data. This paper introduces a distributed multi-agent simulation platform, named PSSPAM, for stock market simulation focusing on large scale of parallel agents, communication system and simulation scheduling. A logical architecture for distributed artificial stock market simulation is proposed, containing four loosely coupled modules: agent module, market module, communication system and user interface. With the customizable trading strategies inside, agents are deployed to multiple computing nodes. Agents exchange messages with each other and with the market based on a customizable network topology through a uniform communication system. With a large number of agent threads, the round scheduling strategy is used during the simulation, and a worker pool is applied in the market module. Financial researchers can design their own financial models and run the simulation through the user interface, without caring about the complexity of parallelization and related problems. Two groups of experiments are conducted, one with internal communication between agents and the other without communication between agents, to verify PSSPAM to be compatible with the data from Euronext-NYSE. And the platform shows fair scalability and performance under different parallelism configurations. key words: distributed stock market simulation, agent-based modeling, round scheduling, distributed

show abstract

“…Intelligent functions are expected to provide the smart grid with self-corrective and reconfiguration features, 2 by creating a more complex interaction behavior among intelligent devices [1].…”

Section: Introductionmentioning

confidence: 99%

“…To address these issues, the multiagent system paradigm is widely agreed to be one challenging approach to build these systems [2][3][4][5][6].…”

Section: Introductionmentioning

confidence: 99%

An Intelligent Self-Configurable Mechanism for Distributed Energy Storage Systems

Alberola

Julián

García-Fornes

2014

Cybernetics and Systems

View full text Add to dashboard Cite

Alberola Oltra, JM.; Julian Inglada, VJ.; García-Fornes, A. (2014 and energy transmission. Multiagent systems are envisioned to provide autonomic and adaptability features to these systems in order to gain advantage in their current environments. In this paper we present a mechanism for providing distributed energy storage systems (DESSs) with intelligent capabilities. In more detail, we propose a self-configurable mechanism which allows a DESS to adapt itself according to the future environmental requirements. This mechanism is aimed at reducing the costs at which energy is purchased from the market.

show abstract

Multi-agent systems in a distributed smart grid: Design and implementation

Cited by 557 publications

References 16 publications

GRENAD, a Modular and Generic Smart-Grid Framework

GRENAD, a Modular and Generic Smart-Grid Framework

An Improved Platform for Multi-Agent Based Stock Market Simulation in Distributed Environment

An Intelligent Self-Configurable Mechanism for Distributed Energy Storage Systems

Contact Info

Product

Resources

About