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Agent Technology

Agent Technology. VINAY. “AGENT TECHNOLOGY”- APPLIED TO THE PROTECTION OF POWER SYSTEMS. VINAY. Autonomy. Mobile. Goal-oriented. Adaptivity. Communicative. Introduction to Technology. What is anAgent?. Definition of an agent.

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Agent Technology

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  1. Agent Technology VINAY

  2. “AGENT TECHNOLOGY”-APPLIED TO THE PROTECTION OF POWER SYSTEMS VINAY .

  3. Autonomy Mobile Goal-oriented Adaptivity Communicative Introduction to Technology • What is anAgent?

  4. Definition of an agent We define a software agent to be a computer program that has the basic properties as shown above.

  5. Agent architecture • Our agent proposal uses geographically distributed agents located in a number of IntelligentElectronic Devices (IEDs) • An IED is a hardware environment that has the necessary computational, communication, and other I/O capabilities needed to support a software agent. • An IED can be loaded with agents that can perform control and/or protection functionality.

  6. local area networks(LAN’s) and wide area networks are used for the interaction between the IED’s. • For the purpose of this abstract, an IED must be capable of receiving andsupporting user-based agent software. • Decision-making is made based on knowledge received from other agents as well as on local measurements. • Local measurements might include of the current, voltage, and breaker status.

  7. Agents might even interface with legacy systems such as Supervisory Control andData Acquisition (SCADA) systems. • These networks will be based on Internet standards even if the systems remained independent of the global network conglomeration.

  8. EPOCHS • EPOCHS,the Electric Power and Communication Synchronizing Simulator. • There is a requirement for the platform that could simultaneously simulate both electric power and communication elements. • An EPOCH is a new environment allowing users to create and test agent-based communications scenarios involving electric power transients.

  9. AnEPOCHmakes use of three major simulators • PSCAD/EMTDC, for electromagnetic transient simulation • PSLF, for electromechanical transient simulation. • NS2, to simulate network communication. • AnEPOCHalso adds two components of its own. i.Agent HQ ii.Run-Time Infrastructure (RTI)

  10. PSCAD/EMTDC, PSLF, andNS2allow userdefined extensions. • APSCAD/EMTDC scenario can include user-defined libraries that add equipment definitions using the C programming language that were not present in the original software. • NS2uses C++ language.

  11. Agent HQpresents a unified worldview to all simulated agents and acts as a proxy for all inter-simulation information exchange. • A Run-Time Infrastructure (RTI) is responsible for maintaining consistent simulation timing between all components

  12. Agent--based IED’s structure Environment Sensor input Actuator output Agent Communication Control and Protection Schemes. Ethernet LAN

  13. Fault in Environment Sensor input Actuator output Agent Communication Control and Protection Schemes. Ethernet lan

  14. Fault in Environment Sensor input Actuator output Agent Communication Control and Protection Schemes. Ethernet lan

  15. Fault in Environment Sensor input Actuator output Agent Communication Control and Protection Schemes. Ethernet lan

  16. Fault in Environment Sensor input Actuator output Agent Communication Control and Protection Schemes. Ethernet lan

  17. Fault in Environment Sensor input Actuator output Agent Communication Control and Protection Schemes. Ethernet lan

  18. Fault in Environment Sensor input Actuator output Agent Communication Control and Protection Schemes. Ethernet lan

  19. Fault in Environment Sensor input Actuator output Agent Communication Control and Protection Schemes. Ethernet lan

  20. Fault in Environment Sensor input Actuator output Agent Communication Control and Protection Schemes. Ethernet lan

  21. Fault in Environment Sensor input Actuator output Agent Communication Control and Protection Schemes. Ethernet lan

  22. Fault in Environment Sensor input Actuator output Agent Communication Control and Protection Schemes. Ethernet lan

  23. Fault in Environment Sensor input Actuator output Agent Communication Control and Protection Schemes. Ethernet lan

  24. Fault in Environment Sensor input Actuator output Agent Communication Control and Protection Schemes. Ethernet lan

  25. Rectification to Environment Sensor input Actuator output Agent Communication Control and Protection Schemes. Ethernet lan

  26. Conclusions • We have described the use of agents for power systems protection. • One of the most fundamental features of an agent is its ability to communicate. • Agent-based systems necessarily rely on communication networks to add functionality beyond what can be achieved by traditional methods.

  27. It is still far too early to predict the future of agent-based protection and control systems. There are many issues that must be dealt with in agent-based protection and control. • Communication security, proper communication protocol selection, and the appropriate range of applications for agent-based methods are just a few of many issues that must be dealt with before agents will be ready for use in real systems.

  28. References; • [1] Coury DV, Thorp JS, Hopkinson KM, Birman KP (2000) Agent Technology Applied to Adaptative Relay Setting for Multi-Terminal Lines. Presented at IEEE Power Engineering Society Summer Meeting,Seatle, Washington. • [2] Coury DV, Thorp JS, Hopkinson KM, Birman KP (2000) Improving the Protection of EHV Teed Feeders Using Local Agents. Presented at IEEE Summer Meeting • [3] General Electric (2003) PSLF Manual. • [4] McLean C, Riddick F (2001) The IMS Mission Architecture for Distributed • Manufacturing Simulation. Presented at Summer Computer Simulation Conference • [5] Redfern MA, Chiwaya AAW (1994) A New Approach to Digital Current Differential Protection for Low and Medium Voltage Feeder Circuit using a Digital Voice-Frequency Grade Communication Channel.IEEE Transaction on Power Delivery vol. 9:1352-1358 • [6] Samad T, Harp S, Wollenberg B, Morton B,Pires L, Brignonne S (1999) Siimulation of Complex Systems for the Power Industry with Adaptive Agents. EPRI, Palo Alto, CA TR112816

  29. Thank you

  30. Queries Time

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