The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform
Osama A. Mohammed - One of the best experts on this subject based on the ideXlab platform.
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development and application of a real time testbed for multiAgent system interoperability a case study on hierarchical microgrid control
IEEE Transactions on Smart Grid, 2018Co-Authors: Mehmet Hazar Cintuglu, Tarek Youssef, Osama A. MohammedAbstract:This paper presents the development and application of a real-time testbed for multiAgent system interoperability. As utility independent private microgrids are installed constantly, standardized interoperability Frameworks are required to define behavioral models of the individual Agents for expandability and plug-and-play operation. In this paper, we propose a comprehensive hybrid Agent Framework combining the foundation for intelligent physical Agents (FIPAs), IEC 61850, and data distribution service (DDS) standards. The IEC 61850 logical node concept is extended using FIPA-based Agent communication language with application specific attributes and deliberative behavior modeling capability. The DDS middleware is adopted to enable a real-time publisher-subscriber interoperability mechanism between platforms. The proposed multi-Agent Framework was validated in a laboratory-based testbed involving developed intelligent electronic device prototypes and actual microgrid setups. Experimental results were demonstrated for both decentralized and distributed control approaches. Secondary and tertiary control levels of a microgrid were demonstrated for decentralized hierarchical control case study. A consensus-based economic dispatch case study was demonstrated as a distributed control example. It was shown that the developed Agent platform is industrially applicable for actual smart grid field deployment.
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Development and Application of a Real-Time Testbed for MultiAgent System Interoperability: A Case Study on Hierarchical Microgrid Control
IEEE Transactions on Smart Grid, 2016Co-Authors: Mehmet Hazar Cintuglu, Tarek Youssef, Osama A. MohammedAbstract:This paper presents the development and application of a real-time testbed for multiAgent system interoperability. As utility independent private microgrids are installed constantly, standardized interoperability Frameworks are required to define behavioral models of the individual Agents for expandability and plug-and-play operation. In this paper, we propose a comprehensive hybrid Agent Framework combining the foundation for intelligent physical Agents (FIPA), IEC 61850, and data distribution service (DDS) standards. The IEC 61850 logical node concept is extended using FIPA based Agent communication language (ACL) with application specific attributes and deliberative behavior modeling capability. The DDS middleware is adopted to enable a real-time publisher-subscriber interoperability mechanism between platforms. The proposed multi-Agent Framework was validated in a laboratory based testbed involving developed intelligent electronic device (IED) prototypes and actual microgrid setups. Experimental results were demonstrated for both decentralized and distributed control approaches. Secondary and tertiary control levels of a microgrid were demonstrated for decentralized hierarchical control case study. A consensus-based economic dispatch case study was demonstrated as a distributed control example. It was shown that the developed Agent platform is industrially applicable for actual smart grid field deployment.
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An intelligent multi Agent Framework for active distribution networks based on IEC 61850 and FIPA standards
2015 18th International Conference on Intelligent System Application to Power Systems (ISAP), 2015Co-Authors: Mehmet Hazar Cintuglu, Harold Martin, Osama A. MohammedAbstract:The development of a resilient and intelligent smart grid concept with decentralized control capability requires extensive deployment of interoperable Frameworks. This paper presents a global multi Agent Framework using IEC 61850 and the foundation for intelligent physical Agents (FIPA) standards. The developed Framework was implemented on a laboratory based smart grid test bed at Florida International University. The open connectivity unified architecture (OPC UA) interface was adopted to share common information between two platforms. The hardware/software based Smart Grid Test Bed involves actual IEC 61850 intelligent electronic devices (IED) and a complete hardware based laboratory setup. In order to present the capabilities of the developed Framework, an autonomous distributed energy resource (DER) ancillary service use case was realistically demonstrated as a sample study.
Yun Yang - One of the best experts on this subject based on the ideXlab platform.
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a multi Agent Framework for packet routing in wireless sensor networks
Sensors, 2015Co-Authors: Minjie Zhang, Yun YangAbstract:Wireless sensor networks (WSNs) have been widely investigated in recent years. One of the fundamental issues in WSNs is packet routing, because in many application domains, packets have to be routed from source nodes to destination nodes as soon and as energy efficiently as possible. To address this issue, a large number of routing approaches have been proposed. Although every existing routing approach has advantages, they also have some disadvantages. In this paper, a multi-Agent Framework is proposed that can assist existing routing approaches to improve their routing performance. This Framework enables each sensor node to build a cooperative neighbour set based on past routing experience. Such cooperative neighbours, in turn, can help the sensor to effectively relay packets in the future. This Framework is independent of existing routing approaches and can be used to assist many existing routing approaches. Simulation results demonstrate the good performance of this Framework in terms of four metrics: average delivery latency, successful delivery ratio, number of live nodes and total sensing coverage.
Mehmet Hazar Cintuglu - One of the best experts on this subject based on the ideXlab platform.
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development and application of a real time testbed for multiAgent system interoperability a case study on hierarchical microgrid control
IEEE Transactions on Smart Grid, 2018Co-Authors: Mehmet Hazar Cintuglu, Tarek Youssef, Osama A. MohammedAbstract:This paper presents the development and application of a real-time testbed for multiAgent system interoperability. As utility independent private microgrids are installed constantly, standardized interoperability Frameworks are required to define behavioral models of the individual Agents for expandability and plug-and-play operation. In this paper, we propose a comprehensive hybrid Agent Framework combining the foundation for intelligent physical Agents (FIPAs), IEC 61850, and data distribution service (DDS) standards. The IEC 61850 logical node concept is extended using FIPA-based Agent communication language with application specific attributes and deliberative behavior modeling capability. The DDS middleware is adopted to enable a real-time publisher-subscriber interoperability mechanism between platforms. The proposed multi-Agent Framework was validated in a laboratory-based testbed involving developed intelligent electronic device prototypes and actual microgrid setups. Experimental results were demonstrated for both decentralized and distributed control approaches. Secondary and tertiary control levels of a microgrid were demonstrated for decentralized hierarchical control case study. A consensus-based economic dispatch case study was demonstrated as a distributed control example. It was shown that the developed Agent platform is industrially applicable for actual smart grid field deployment.
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Development and Application of a Real-Time Testbed for MultiAgent System Interoperability: A Case Study on Hierarchical Microgrid Control
IEEE Transactions on Smart Grid, 2016Co-Authors: Mehmet Hazar Cintuglu, Tarek Youssef, Osama A. MohammedAbstract:This paper presents the development and application of a real-time testbed for multiAgent system interoperability. As utility independent private microgrids are installed constantly, standardized interoperability Frameworks are required to define behavioral models of the individual Agents for expandability and plug-and-play operation. In this paper, we propose a comprehensive hybrid Agent Framework combining the foundation for intelligent physical Agents (FIPA), IEC 61850, and data distribution service (DDS) standards. The IEC 61850 logical node concept is extended using FIPA based Agent communication language (ACL) with application specific attributes and deliberative behavior modeling capability. The DDS middleware is adopted to enable a real-time publisher-subscriber interoperability mechanism between platforms. The proposed multi-Agent Framework was validated in a laboratory based testbed involving developed intelligent electronic device (IED) prototypes and actual microgrid setups. Experimental results were demonstrated for both decentralized and distributed control approaches. Secondary and tertiary control levels of a microgrid were demonstrated for decentralized hierarchical control case study. A consensus-based economic dispatch case study was demonstrated as a distributed control example. It was shown that the developed Agent platform is industrially applicable for actual smart grid field deployment.
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An intelligent multi Agent Framework for active distribution networks based on IEC 61850 and FIPA standards
2015 18th International Conference on Intelligent System Application to Power Systems (ISAP), 2015Co-Authors: Mehmet Hazar Cintuglu, Harold Martin, Osama A. MohammedAbstract:The development of a resilient and intelligent smart grid concept with decentralized control capability requires extensive deployment of interoperable Frameworks. This paper presents a global multi Agent Framework using IEC 61850 and the foundation for intelligent physical Agents (FIPA) standards. The developed Framework was implemented on a laboratory based smart grid test bed at Florida International University. The open connectivity unified architecture (OPC UA) interface was adopted to share common information between two platforms. The hardware/software based Smart Grid Test Bed involves actual IEC 61850 intelligent electronic devices (IED) and a complete hardware based laboratory setup. In order to present the capabilities of the developed Framework, an autonomous distributed energy resource (DER) ancillary service use case was realistically demonstrated as a sample study.
Walid Gomaa - One of the best experts on this subject based on the ideXlab platform.
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adaptive multi objective reinforcement learning with hybrid exploration for traffic signal control based on cooperative multi Agent Framework
Engineering Applications of Artificial Intelligence, 2014Co-Authors: Mohamed A Khamis, Walid GomaaAbstract:In this paper, we focus on computing a consistent traffic signal configuration at each junction that optimizes multiple performance indices, i.e., multi-objective traffic signal control. The multi-objective function includes minimizing trip waiting time, total trip time, and junction waiting time. Moreover, the multi-objective function includes maximizing flow rate, satisfying green waves for platoons traveling in main roads, avoiding accidents especially in residential areas, and forcing vehicles to move within moderate speed range of minimum fuel consumption. In particular, we formulate our multi-objective traffic signal control as a multi-Agent system (MAS). Traffic signal controllers have a distributed nature in which each traffic signal Agent acts individually and possibly cooperatively in a MAS. In addition, Agents act autonomously according to the current traffic situation without any human intervention. Thus, we develop a multi-Agent multi-objective reinforcement learning (RL) traffic signal control Framework that simulates the driver's behavior (acceleration/deceleration) continuously in space and time dimensions. The proposed Framework is based on a multi-objective sequential decision making process whose parameters are estimated based on the Bayesian interpretation of probability. Using this interpretation together with a novel adaptive cooperative exploration technique, the proposed traffic signal controller can make real-time adaptation in the sense that it responds effectively to the changing road dynamics. These road dynamics are simulated by the Green Light District (GLD) vehicle traffic simulator that is the testbed of our traffic signal control. We have implemented the Intelligent Driver Model (IDM) acceleration model in the GLD traffic simulator. The change in road conditions is modeled by varying the traffic demand probability distribution and adapting the IDM parameters to the adverse weather conditions. Under the congested and free traffic situations, the proposed multi-objective controller significantly outperforms the underlying single objective controller which only minimizes the trip waiting time (i.e., the total waiting time in the whole vehicle trip rather than at a specific junction). For instance, the average trip and waiting times are ~8 and 6 times lower respectively when using the multi-objective controller.
Minjie Zhang - One of the best experts on this subject based on the ideXlab platform.
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a multi Agent Framework for packet routing in wireless sensor networks
Sensors, 2015Co-Authors: Minjie Zhang, Yun YangAbstract:Wireless sensor networks (WSNs) have been widely investigated in recent years. One of the fundamental issues in WSNs is packet routing, because in many application domains, packets have to be routed from source nodes to destination nodes as soon and as energy efficiently as possible. To address this issue, a large number of routing approaches have been proposed. Although every existing routing approach has advantages, they also have some disadvantages. In this paper, a multi-Agent Framework is proposed that can assist existing routing approaches to improve their routing performance. This Framework enables each sensor node to build a cooperative neighbour set based on past routing experience. Such cooperative neighbours, in turn, can help the sensor to effectively relay packets in the future. This Framework is independent of existing routing approaches and can be used to assist many existing routing approaches. Simulation results demonstrate the good performance of this Framework in terms of four metrics: average delivery latency, successful delivery ratio, number of live nodes and total sensing coverage.
