An Agent-Based Application to Enable Deregulated Energy Markets

Pagani

et al. 2015

SOCA

Self Cite

The power grid is undergoing a major change due mainly to the increased penetration of renewables and novel digital instruments in the hands of the end users that help to monitor and shift their loads. Such transformation is only possible with the coupling of an information and communication technology infrastructure to the existing power distribution grid. Given the scale and the interoperability requirements of such future system, service-oriented architectures (SOAs) are seen as one of the reference models and are considered already in many of the proposed standards for the smart grid (e.g., IEC-62325 and OASIS eMIX). Beyond the technical issues of what the service-oriented architectures of the smart grid will look like, there is a pressing question about what the added value for the end user could be. Clearly, the operators need to guarantee availability and security of supply, but why should the end users care? In this paper, we explore a scenario in which the end users can both consume and produce small quantities of energy and can trade these quantities in an open and deregulated market. For the trading, they delegate software agents that can fully interoperate and interact with one another thus taking advantage of the SOA. In particular, the agents have strategies, inspired from game theory, to take advantage of a service-oriented smart grid market and give profit to their delegators, while implicitly helping balancing the power grid. The proposal is implemented with simulated agents and interaction with existing Web services. To show the advantage of the agent with strategies, we compare our approach with the “base” agent one by means of simulations, highlighting the advantages of the proposal

Section: Contribution and Organizationmentioning

confidence: 91%

An adaptive agent-based system for deregulated smart grids

Pagani

et al. 2015

SOCA

Self Cite

“…Hence, an autonomous system is required, in particular we investigated a MAS [7] in which a role based peer to peer approach is used in order to have on one side the consumers trying to obtain the cheapest price of a contract, and on the other side the prosumers will try to maximize their profits by starting individual auctions, completely unbounded to the local traditional providers.…”

Section: Smart Gridsmentioning

confidence: 99%

Runtime Change of Collaboration Patterns in Autonomic Systems: Motivations and Perspectives

2013 27th International Conference on Advanced Information Networking and Applications Workshops

2013

Today’s distributed systems are more and more\ud complex, so they are required to be autonomic, i.e., to exhibit\ud some self-* properties in order to manage themselves. Autonomic\ud systems are usually composed of different components, which\ud collaborate to achieve a global goal or to provide a high-level\ud service. The collaboration pattern is usually defined statically,\ud but the aim of this paper is to show that there are motivations to\ud enable composed systems to change their collaboration pattern at\ud runtime in an autonomous way, starting from some case studies.\ud This capability of autonomic systems is called self-expression,\ud meaning that a system can express itself despite unexpected\ud situations. Moreover, we propose three perspective solutions that\ud aim at enabling the change at runtime: role-based, descriptionbased,\ud and Artificial Immune Systems (AIS)-inspired

“…In our context, more than coordination in the sense of hierarchical structure or peer topology of those ensembles, we refer to the communication topology that can rise during an electric energy negotiation round in a Multi-Agent System. MultiAgent Systems (MAS) are currently used for both modelling and application design of newer trend in energy negotiation ([4], [5]), load balancing [6] or generic modelling for simulation [7], [8]. On the negotiation aspects, several models have been proposed on how the deregulation of electricity market will be managed by autonomic computational entities and the auction system between consumers and newer born producing nodes of the net is the most plausible way to address the market.…”

Section: Related Workmentioning

confidence: 99%

Managing Deregulated Energy Markets: An Adaptive and Autonomous Multi-agent System Application

2013 IEEE International Conference on Systems, Man, and Cybernetics

2013

Self Cite

Given the complexity of modelling actors and interactions of the deregulated electric energy market, the Multi-Agent System approach can be used for both simulation and applications of critical aspects in the Smart Grid. In particular, balancing demand and offer and handling negotiation among peers: now, even a domestic environment that features photovoltaic and/or wind turbines modules can decide to enter the deregulated market as a small-scale seller, thus making the requirement of having such an architecture to be autonomous by deploying Self-* properties such as Self-Organization, Self-Repairing, Self-Adaptation. To be more specific about the presented case study, we propose a model in which small-scale seller agents dynamically decide from to time to time, either to address the market as lone operators or by aggregating into Virtual Power Plants. This iterated decisional process depends on highly variable market related factors, thus the goal to design a net of agents able to autonomously react to this dynamic environment.