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| Title: | Adaptive critic designs for optimal control of power systems | |
| Author (s): | Venayagamoorthy, Ganesh K. Harley, R.G. | |
| Department/Lab Affiliations: | Electrical and Computer Engineering Real-Time Power and Intelligent Systems Laboratory | |
| Keywords: | adaptive control adaptive critic design adaptive neurocontrol approximate dynamic programming excitation control flexible AC transmission systems load flow control neural network neurocontrollers optimal control optimal neurocontrol power system control reinforcement learning turbine control voltage control | |
| Issue Date: | 2005 | |
| Publisher: | Institute of Electrical and Electronics Engineers | |
| Citation: | Venayagamoorthy, G.K.; Harley, R.G., "Adaptive critic designs for optimal control of power systems" Proceedings of the 13th International Conference on Intelligent Systems Application to Power Systems, 2005. pp. 13 pp.-, 6-10 Nov. 2005 | |
| Abstract: | The increasing complexity of the modern power grid highlights the need for advanced modeling and control techniques for effective control of excitation, turbine and flexible AC transmission systems (FACTS). The crucial factors affecting the modern power systems today is voltage and load flow control. Simulation studies in the PSCAD/EMTDC environment and realtime laboratory experimental studies carried out are described and the results show the successful control of the power system elements and the entire power system with adaptive and optimal neurocontrol schemes. Performances of the neurocontrollers are compared with the conventional PI controllers for damping under different operating conditions for small and large disturbances. | |
| Type: | Article - Conference proceedings text | |
| Copyright Notice: | This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. FULL COPYRIGHT INFORMATION: | |
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| title | Adaptive critic designs for optimal control of power systems | |
| contributor.author | Venayagamoorthy, Ganesh K. | |
| contributor.author | Harley, R.G. | |
| contributor.deptlab | Electrical and Computer Engineering | |
| contributor.deptlab | Real-Time Power and Intelligent Systems Laboratory | |
| subject | adaptive control | |
| subject | adaptive critic design | |
| subject | adaptive neurocontrol | |
| subject | approximate dynamic programming | |
| subject | excitation control | |
| subject | flexible AC transmission systems | |
| subject | load flow control | |
| subject | neural network | |
| subject | neurocontrollers | |
| subject | optimal control | |
| subject | optimal neurocontrol | |
| subject | power system control | |
| subject | reinforcement learning | |
| subject | turbine control | |
| subject | voltage control | |
| date.issued | 2005 | |
| date.submitted | 2007 | |
| publisher | Institute of Electrical and Electronics Engineers | |
| identifier.citation | Venayagamoorthy, G.K.; Harley, R.G., "Adaptive critic designs for optimal control of power systems" Proceedings of the 13th International Conference on Intelligent Systems Application to Power Systems, 2005. pp. 13 pp.-, 6-10 Nov. 2005 | |
| identifier.pub.URI | ||
| description.abstract | The increasing complexity of the modern power grid highlights the need for advanced modeling and control techniques for effective control of excitation, turbine and flexible AC transmission systems (FACTS). The crucial factors affecting the modern power systems today is voltage and load flow control. Simulation studies in the PSCAD/EMTDC environment and realtime laboratory experimental studies carried out are described and the results show the successful control of the power system elements and the entire power system with adaptive and optimal neurocontrol schemes. Performances of the neurocontrollers are compared with the conventional PI controllers for damping under different operating conditions for small and large disturbances. | |
| type | Article - Conference proceedings | |
| type.DCMIType | text | |
| type.status | Final version | |
| type.status | Postprint | |
| rights | This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. | |
| rights.URI | ||
| date.accessioned | 2007-04-05T14:26:14Z | |
| date.available | 2007-04-05T14:26:14Z | |
| identifier.persist.URI | ||
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