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Research

Optimal Design of Hybrid AC/DC Microgrids

H. Lotfi†, A. Khodaei, S. Bahramirad, M. Bollen, “Optimal Design of Hybrid AC/DC Microgrids,” CIGRE Grid of the Future Symposium, Philadelphia, PA, October 2016.

/wp-content/themes/awp-enfold/blank.png 0 0 Academic Web Pages /wp-content/themes/awp-enfold/blank.png Academic Web Pages2016-12-20 00:00:002020-07-30 16:28:35Optimal Design of Hybrid AC/DC Microgrids

Capturing the Variabilities of Distribution Network Net-Load via Available Flexibility of Microgrids

A. Majzoobi†, A. Khodaei, S. Bahramirad, M. Bollen, “Capturing the Variabilities of Distribution Network Net-Load via Available Flexibility of Microgrids,” CIGRE Grid of the Future Symposium, Philadelphia, PA, October 2016.

/wp-content/themes/awp-enfold/blank.png 0 0 Academic Web Pages /wp-content/themes/awp-enfold/blank.png Academic Web Pages2016-12-01 00:00:002020-07-30 16:28:35Capturing the Variabilities of Distribution Network Net-Load via Available Flexibility of Microgrids

Application of Microgrids in Supporting Distribution Grid Flexibility

A. Majzoobi†, A. Khodaei, “Application of Microgrids in Supporting Distribution Grid Flexibility,” IEEE Transactions on Power Systems, vol. 32, no. 5, pp. 3660–3669, Dec. 2016.

/wp-content/themes/awp-enfold/blank.png 0 0 Academic Web Pages /wp-content/themes/awp-enfold/blank.png Academic Web Pages2016-11-01 00:00:002020-07-30 16:28:28Application of Microgrids in Supporting Distribution Grid Flexibility

Event-Driven Security-Constrained Unit Commitment with Component Outage Estimation Based on Machine Learning Method

R. Eskandarpour†, A. Khodaei, J. Lin, “Event-Driven Security-Constrained Unit Commitment with Component Outage Estimation Based on Machine Learning Method,” North American Power Symposium, Denver, CO, September 2016.

/wp-content/themes/awp-enfold/blank.png 0 0 Academic Web Pages /wp-content/themes/awp-enfold/blank.png Academic Web Pages2016-10-20 00:00:002020-07-30 16:28:35Event-Driven Security-Constrained Unit Commitment with Component Outage Estimation Based on Machine Learning Method

Day-Ahead Solar Forecasting Using Time Series Stationarization and Feed-Forward Neural Network

M. Alanazi†, and A. Khodaei, “Day-Ahead Solar Forecasting Using Time Series Stationarization and Feed-Forward Neural Network,” North American Power Symposium, Denver, CO, September 2016.

/wp-content/themes/awp-enfold/blank.png 0 0 Academic Web Pages /wp-content/themes/awp-enfold/blank.png Academic Web Pages2016-10-01 00:00:002020-07-30 16:28:35Day-Ahead Solar Forecasting Using Time Series Stationarization and Feed-Forward Neural Network

Improved Efficiency, Enhanced Reliability, and Reduced Cost: Transition from Static Microgrids to Reconfigurable Microgrids

A. Kavousi-Fard†, A. Khodaei, S. Bahramirad, “Improved Efficiency, Enhanced Reliability, and Reduced Cost: Transition from Static Microgrids to Reconfigurable Microgrids,” Electricity Journal, vol. 29, no. 10, pp. 22-27, Dec. 2016.

/wp-content/themes/awp-enfold/blank.png 0 0 Academic Web Pages /wp-content/themes/awp-enfold/blank.png Academic Web Pages2016-10-01 00:00:002020-07-30 16:28:28Improved Efficiency, Enhanced Reliability, and Reduced Cost: Transition from Static Microgrids to Reconfigurable Microgrids

Determination of Optimal Size and Depth of Discharge for Battery Energy Storage in Standalone Microgrids

I. Alsaidan†, A. Khodaei, and W. Gao, “Determination of Optimal Size and Depth of Discharge for Battery Energy Storage in Standalone Microgrids,” North American Power Symposium, Denver, CO, September 2016.

/wp-content/themes/awp-enfold/blank.png 0 0 Academic Web Pages /wp-content/themes/awp-enfold/blank.png Academic Web Pages2016-09-20 00:00:002020-07-30 16:28:35Determination of Optimal Size and Depth of Discharge for Battery Energy Storage in Standalone Microgrids

Optimal Microgrid Placement for Enhancing Power System Resilience in Response to Weather Events

R. Eskandarpour†, H. Lotfi†, and A. Khodaei, “Optimal Microgrid Placement for Enhancing Power System Resilience in Response to Weather Events,” North American Power Symposium, Denver, CO, September 2016.

/wp-content/themes/awp-enfold/blank.png 0 0 Academic Web Pages /wp-content/themes/awp-enfold/blank.png Academic Web Pages2016-09-01 00:00:002020-07-30 16:28:35Optimal Microgrid Placement for Enhancing Power System Resilience in Response to Weather Events

Machine Learning based Power Grid Outage Prediction in Response to Extreme Events

R. Eskandarpour, A. Khodaei, “Machine Learning based Power Grid Outage Prediction in Response to Extreme Events,” IEEE Power Engineering Letters, vol. 32, no. 4, pp. 3315–3316, Nov. 2016.

/wp-content/themes/awp-enfold/blank.png 0 0 Academic Web Pages /wp-content/themes/awp-enfold/blank.png Academic Web Pages2016-09-01 00:00:002020-07-30 21:32:44Machine Learning based Power Grid Outage Prediction in Response to Extreme Events

Resilience-Constrained Unit Commitment Considering the Impact of Microgrids

R. Eskandarpour†, G. Edwards, and A. Khodaei, “Resilience-Constrained Unit Commitment Considering the Impact of Microgrids,” North American Power Symposium, Denver, CO, September 2016.

/wp-content/themes/awp-enfold/blank.png 0 0 Academic Web Pages /wp-content/themes/awp-enfold/blank.png Academic Web Pages2016-08-01 00:00:002020-07-30 16:28:36Resilience-Constrained Unit Commitment Considering the Impact of Microgrids
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Department of Electrical & Computer Engineering
Ritchie School of Engineering and Computer Science
University of Denver
2155 East Wesley Avenue, Room 460
Denver, CO  80210

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