Shadi Abras

A Multi-agent Home Automation System for Power Management

This paper presents the principles of a Home Automation system dedicated to power management that adapts power consumption to available power ressources according to user comfort and cost criteria. The system relies on a multi-agent paradigm. Each agent is embedded into a power resource or an equipment, which may be an environment (thermal-air, thermal-water, ventilation, luminous) or a service (washing, cooking), and cooperates and coordinates its action with others in order to find acceptable near-optimal solution. The control algorithm is decomposed into two complementary mechanisms: an emergency mechanism, which protects from constraint violations, and an anticipation mechanism, which computes the best future set-points according to predicted consumptions and productions and to user criteria. The paper details a negotiation protocol used by the both mechanisms and presents some preliminary simulation results.

An Anticipation Mechanism for Power Management in a Smart Home using Multi-Agent Systems

This paper presents the principles of a home automation system dedicated to power management that adapts power consumption to available power ressources according to inhabitant comfort and cost criteria. The system relies on a multi-agent paradigm. Each agent supports a service achieved by several devices, it cooperates and coordinates its action with others in order to find an acceptable near-optimal solution. The control algorithm is decomposed into two complementary mechanisms: a reactive mechanism, which protects from constraint violations, and an anticipation mechanism, which computes a plan for global consumption according to predicted productions and consumptions and to inhabitant criteria. The paper shows how to compute a global consumption plan relying on Tabu Searchs algorithm and how to reduce the problem complexity by dividing the whole problem into independent sub-problems.

Advantages of MAS for the Resolution of a Power Management Problem in Smart Homes

This paper contributes to the design of intelligent buildings. A Multi- Agents Home Automation System (MAHAS) is proposed which controls appliances and energy sources in buildings. The objective of this paper is to show that by using intelligent agents related to appliances, it is possible to improve the energy consumption/ production in buildings. The proposed MAHAS system is characterised by its openness, its scalability and its capability to manage diversity. In this paper, we show how a multi-agent system, well adapted to solve problems spatially distributed and opened, can dynamically adapt the consumption of energy to various constraints by exploiting the flexibilities of the services provided by domestic devices (services shifting, energy accumulating). Finally, we conclude on the contribution of Multi-Agent approach to the power management problem.

A multi-agent design for a home automation system dedicated to power management

This paper presents the principles of a Home Automation System dedicated to power management that adapts power consumption to available power ressources according to user comfort and cost criteria. The system relies on a multi-agent paradigm. Each agent, supporting a type of service achieved by one or several devices, cooperates and coordinates its action with others in order to find an acceptable near-optimal solution. The control algorithm is decomposed into two complementary mechanisms: a reactive mechanism, which protects from constraint violations, and an anticipation mechanism, which computes a predicted plan of global consumption according to predicted productions and consumptions and to user criteria. The paper presents a design for the Multi Agent Home Automation System.

MAS architecture for energy management: Developing smart networks with JADE platform

This paper contributes to the design of intelligent electrical network system. A distributed management and control approach, realized through the Multi Agent Systems (MAS) technology, is proposed for Smart Electrical network, due to the MAS advantages: scalability, openness, reliability and communications efficiency. Each agent is embedded into a principal actor and cooperates and coordinates its actions in order to find acceptable near optimal solution. This system proposes multi-level control architecture composed of two main complementary mechanisms: adjustment and anticipative. This paper details the anticipation level that computes the best future set-points according to energy needs and production capacity. These set points are then adjusted in real time by the adjustment mechanism. The platform JADE is used in order to simulate the behavior of the different network actors.

A multi-agent home automation approach for power management

Abstract This paper presents the principles of a Home Automation System dedicated to power management that adapts power consumption to available power ressources according to inhabitant comfort and cost criteria. The system relies on a multi-agent paradigm. Each agent supports a service achieved by several devices, it cooperates and coordinates its action with others in order to find an acceptable near-optimal solution. The control algorithm is decomposed into two complementary mechanisms: a reactive mechanism, which protects from constraint violations, and an anticipation mechanism, which computes a plan for global consumption according to predicted productions and consumptions and to inhabitant criteria. The paper shows how to compute a global consumption plan relying on Bellman-Fords algorithm and how to reduce the problem complexity by dividing the whole problem into independent sub-problems.

Une approche multi-agent pour la gestion de l'énergie dans l'habitat

This paper presents a multi-agent approach dedicated to power management in buildings. This approach, defines a multi-layer control mechanism: reactive and anticipative mechanisms. In a first part, the paper presents the power system and its problems. Then, it presents the agents modeling of the proposed system, called MAHAS. In the second part of this paper, we show how a multi-agent system, well adapted to solve problems spatially distributed and opened, can dynamically adapt the consumption of energy to various constraints by exploiting the flexibilities of the services provided by domestic devices (services shifting, energy accumulating).