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--- projects [2015/08/26 21:59] – jarek
+++ projects [2015/12/18 01:08] – Update header stevenc
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-====== Proposed Projects for Fall 2015 ======
+====== Proposed Projects for Winter 2016 ======
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+======Peer-to-Peer agent based applications in smart power grids======
+**Supervisor:** Hany Farag
+Multi-agent systems have been mentioned recently as a potential technology for several operational control objectives in smart power grids. The multi-agents technology allows the rapid and detailed creation of a system model and creates a robust framework for distributed control. The distributed control structure consists of components called control agents. These control agents try, through communication and negotiation with other control agents, to: 1) determine the current state of the system and/or subsystems and 2) make decisions (set their local actuators or communicate with other agents) in such a way that their own objectives are met as closely as possible and any constraints are satisfied.
+This project aims to implement formulated distributed constraint optimization (DCOP) in a multi-agent platform for two objectives in smart grids: 1) voltage regulation and 2) electricity market,.  There are several Java-based open source platforms for peer-to-peer agent based applications e.g. (JADE,  Jadex, Jason,..etc). With the help of the supervisor, the student will choose the platform that suits the required applications. Also, the student will implement the formulated DCOP in the suitable multi-agent platform to test its effectiveness and robustness. Toward that end, an interface between the multi-agent platform in Java environment and the power grid simulator in MATLAB environment is required to transfer the measurements from MATLAB to the multi-agent platform and then transfer the actions from the multi-agent platform to MATLAB in real-time.
+The student should be a strong Java and MATLAB programmer. He should have prior knowledge about multi-agent platforms such as JADE. The work involves reading and understanding the formulated DCOP in smart grids and working with the supervisor and master/PhD student(s) to implement the developed algorithms and to measure the performance of the developed algorithm(s) in the multi-agent platform.
+For more information, please send email to hefarag@cse.yorku.ca.
+Required Background: General CSE408x prerequisites
+\\
 ======Clustering High-Dimensional Data Sets======