Adaptive critic designs for optimal control of power systems
Proceedings of the 13th International Conference on Intelligent Systems Application to Power Systems, ISAP'05, Vol: 2005, Page: 136-148
2005
- 6Citations
- 48Usage
- 7Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Metrics Details
- Citations6
- Citation Indexes6
- CrossRef4
- Usage48
- Downloads48
- Captures7
- Readers7
Conference Paper Description
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 real-time 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. © 2005 ISAP.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=33847419839&origin=inward; http://dx.doi.org/10.1109/isap.2005.1599253; http://ieeexplore.ieee.org/document/1599253/; http://xplorestaging.ieee.org/ielx5/10658/33627/01599253.pdf?arnumber=1599253; https://scholarsmine.mst.edu/ele_comeng_facwork/1417; https://scholarsmine.mst.edu/cgi/viewcontent.cgi?article=2416&context=ele_comeng_facwork
Institute of Electrical and Electronics Engineers (IEEE)
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