Dongliang Duan
Ph.D. FinalJun 14, 2012, 4:00 pm
ECE Conference Room C101B Engineering
Sensing, Communications and Monitoring for the Smart Grid
Abstract: With the increasing concern on environmental
factors, the reliability of the entire system, and
the electricity quality of service, power grids in
many countries are undergoing revolution towards a
more distributed and flexible “smart grid.” In the
development of the envisioned smart grid, the
situational awareness takes a fundamental role for
a number of crucial advanced operations, such as
power flow scheduling, dynamic pricing, energy
management, wide area control, wide area
protection etc. To fulfill the mission of
situational awareness across various entities in
the grid, more advanced sensing, communications
and monitoring techniques need to be introduced to
the existing power grid. In this research, we will
first address the issue of battery power
efficiency (BPE) in WSN which is essential for the
sensing system lifetime. We show that the BPE can
be improved either by selecting a more battery-
power-efficient modulation format or by developing
a cooperative communications scheme. Then, to
transmit the sensed data over the scarce wireless
bandwidth, we adopt cognitive radio as a possible
solution. To enable the cognitive radio
communication, we aim at improving both the
reliability and efficiency of the overall system
via cooperative spectrum sensing. With these
fundamental communication capabilities available
for the sensed data, we then investigate into the
wide area power grid monitoring based on
synchronized measurements from newly developed
devices such as phasor measurement unit (PMU),
mode meters and so on.
factors, the reliability of the entire system, and
the electricity quality of service, power grids in
many countries are undergoing revolution towards a
more distributed and flexible “smart grid.” In the
development of the envisioned smart grid, the
situational awareness takes a fundamental role for
a number of crucial advanced operations, such as
power flow scheduling, dynamic pricing, energy
management, wide area control, wide area
protection etc. To fulfill the mission of
situational awareness across various entities in
the grid, more advanced sensing, communications
and monitoring techniques need to be introduced to
the existing power grid. In this research, we will
first address the issue of battery power
efficiency (BPE) in WSN which is essential for the
sensing system lifetime. We show that the BPE can
be improved either by selecting a more battery-
power-efficient modulation format or by developing
a cooperative communications scheme. Then, to
transmit the sensed data over the scarce wireless
bandwidth, we adopt cognitive radio as a possible
solution. To enable the cognitive radio
communication, we aim at improving both the
reliability and efficiency of the overall system
via cooperative spectrum sensing. With these
fundamental communication capabilities available
for the sensed data, we then investigate into the
wide area power grid monitoring based on
synchronized measurements from newly developed
devices such as phasor measurement unit (PMU),
mode meters and so on.
Adviser: Liuqing Yang
Co-Adviser: N/A
Non-ECE Member: Rui Song, Statistics
Member 3: Louis L. Scharf, Mathematics and ECE
Addional Members: Jie Luo, ECE
Co-Adviser: N/A
Non-ECE Member: Rui Song, Statistics
Member 3: Louis L. Scharf, Mathematics and ECE
Addional Members: Jie Luo, ECE
Publications:
Journal Papers:
1. D. Duan, L. Yang and L. L. Scharf, "Optimal Detection Fusion by Large Deviation Analysis," IEEE Transactions on Signal Processing, 2012 (in preparation)
2. D. Duan, L. Yang and L. L. Scharf, "Robust Linear System Estimation with Outlier Rejection," IEEE Transactions on Signal Processing, 2012 (in preparation)
3. L. Fang, D. Duan and L. Yang, "Frequency Estimation from Zero-Padded DFT Samples," IEEE Transactions on Signal Processing, 2012 (in preparation)
4. D. Duan and L. Yang, "Cooperative Spectrum Sensing with Ternary Local Decisions," IEEE Communications Letters, 2012 (submitted)
6. W. Zhang, D. Duan, and L. Yang, “Relay Selection from a Battery Energy Efficiency Perspective,” IEEE Transactions on Communications, vol. 59, no. 6, pp. 1525–1529, June 2011.
7. D. Duan, F. Qu, L. Yang, A. Swami and J. C. Principe, "Modulation Selection from a Battery Power Efficiency Perspective," IEEE Transactions on Communications, vol. 58, no. 7, pp. 1907–1911, July 2010.
8. D. Duan, L. Yang and J. C. Principe, “Cooperative Diversity of Spectrum Sensing for Cognitive Radio Systems,” IEEE Transactions on Signal Processing, vol. 58, no. 6, pp. 3218–3227, June 2010.
9. F. Qu, D. Duan, L. Yang, and A. Swami, “Signaling with Imperfect Channel State Information: A Battery Power Efficiency Comparison,” IEEE Transactions on Signal Processing, vol. 56, no. 9, pp. 4486–4495, September 2008.
Conference Papers:
10. D. Duan, L. Yang and L. L. Scharf, "The Optimal Fusion Rule for Cooperative Spectrum Sensing from a Diversity Perspective," in Proceedings of Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, November 4-7, 2012 (submitted).
11. L. Fang, D. Duan and L. Yang, "A New DFT-Based Frequency Estimator for Single-Tone Complex Sinusoidal Signals", in Proceedings of Military Communications Conference, Orlando, FL, October 29-November 1, 2012 (submitted).
12. D. Duan, L. Yang and L. L. Scharf, "Optinal Detection Fusion by Large Deviation Analysis," in Proceedings of European Signal Processing Conference (EUSIPCO), Bucharest, Romania, August 27-31, 2012 (submitted).
13. D. Duan, L. Yang and L. L. Scharf, “Phasor State Estimation from PMU Measurements with Bad Data,” in Proceedings of the Fourth InternationalWorkshop on Computational Advances in Multi-Sensor Adaptive Processing, San Juan, Puerto Rico, December 13-16, 2011, pp. 121-124 (invited).
14. D. Duan, F. Qu, W. Zhang and L. Yang, “Optimizing the Battery Energy Efficiency in Wireless Sensor Networks,” in Proceedings of 2011 IEEE Conference on Signal Processing, Communications and Computing, Xi’an, China, September 14-16, 2011 (invited).
15. D. Duan, L. Yang and J. C. Principe, “Detection-Interference Dilemma in Reciprocal Channels,” in Proceedings of IEEE Military Communication Conference, Boston, MA, October 18-21, 2009.
16. W. Zhang, D. Duan, and L. Yang, “Relay Selection from a Battery Energy Efficiency Perspective,” in Proceedings of IEEE Military Communication Conference, Boston, MA, October 18-21, 2009.
17. D. Duan, L. Yang and J. C. Principe, “Cooperative Diversity of Spectrum Sensing in Cognitive Radio Networks,” in Proceedings of IEEE Wireless Communications & Networking Conference, Budapest, Hungary, April 5-8, 2009.
18. D. Duan, F. Qu, L. Yang, A. Swami and J. C. Principe, “Modulation Selection from a Battery Power Efficiency Perspective: A Case Study of PPM and OOK,” in Proceedings of IEEE Wireless Communications & Networking Conference, Budapest, Hungary, April 5-8, 2009.
19. F. Qu, D. Duan, L. Yang and A. Swami, “Signaling with Imperfect Channel State Information: A Battery Power Efficiency Comparison,” in Proceedings of IEEE Military Communication Conference, Orlando, FL, October 29-31, 2007.
20. D. Duan, W. Liu, P. Chen, M. Rao and J. C. Principe, “Variance and Bias Analysis of Information Potential and Symmetric Information Potential,” IEEE Workshop on Machine Learning for Signal Processing, Thessaloniki, Greece, August 27-29, 2007.
Journal Papers:
1. D. Duan, L. Yang and L. L. Scharf, "Optimal Detection Fusion by Large Deviation Analysis," IEEE Transactions on Signal Processing, 2012 (in preparation)
2. D. Duan, L. Yang and L. L. Scharf, "Robust Linear System Estimation with Outlier Rejection," IEEE Transactions on Signal Processing, 2012 (in preparation)
3. L. Fang, D. Duan and L. Yang, "Frequency Estimation from Zero-Padded DFT Samples," IEEE Transactions on Signal Processing, 2012 (in preparation)
4. D. Duan and L. Yang, "Cooperative Spectrum Sensing with Ternary Local Decisions," IEEE Communications Letters, 2012 (submitted)
6. W. Zhang, D. Duan, and L. Yang, “Relay Selection from a Battery Energy Efficiency Perspective,” IEEE Transactions on Communications, vol. 59, no. 6, pp. 1525–1529, June 2011.
7. D. Duan, F. Qu, L. Yang, A. Swami and J. C. Principe, "Modulation Selection from a Battery Power Efficiency Perspective," IEEE Transactions on Communications, vol. 58, no. 7, pp. 1907–1911, July 2010.
8. D. Duan, L. Yang and J. C. Principe, “Cooperative Diversity of Spectrum Sensing for Cognitive Radio Systems,” IEEE Transactions on Signal Processing, vol. 58, no. 6, pp. 3218–3227, June 2010.
9. F. Qu, D. Duan, L. Yang, and A. Swami, “Signaling with Imperfect Channel State Information: A Battery Power Efficiency Comparison,” IEEE Transactions on Signal Processing, vol. 56, no. 9, pp. 4486–4495, September 2008.
Conference Papers:
10. D. Duan, L. Yang and L. L. Scharf, "The Optimal Fusion Rule for Cooperative Spectrum Sensing from a Diversity Perspective," in Proceedings of Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, November 4-7, 2012 (submitted).
11. L. Fang, D. Duan and L. Yang, "A New DFT-Based Frequency Estimator for Single-Tone Complex Sinusoidal Signals", in Proceedings of Military Communications Conference, Orlando, FL, October 29-November 1, 2012 (submitted).
12. D. Duan, L. Yang and L. L. Scharf, "Optinal Detection Fusion by Large Deviation Analysis," in Proceedings of European Signal Processing Conference (EUSIPCO), Bucharest, Romania, August 27-31, 2012 (submitted).
13. D. Duan, L. Yang and L. L. Scharf, “Phasor State Estimation from PMU Measurements with Bad Data,” in Proceedings of the Fourth InternationalWorkshop on Computational Advances in Multi-Sensor Adaptive Processing, San Juan, Puerto Rico, December 13-16, 2011, pp. 121-124 (invited).
14. D. Duan, F. Qu, W. Zhang and L. Yang, “Optimizing the Battery Energy Efficiency in Wireless Sensor Networks,” in Proceedings of 2011 IEEE Conference on Signal Processing, Communications and Computing, Xi’an, China, September 14-16, 2011 (invited).
15. D. Duan, L. Yang and J. C. Principe, “Detection-Interference Dilemma in Reciprocal Channels,” in Proceedings of IEEE Military Communication Conference, Boston, MA, October 18-21, 2009.
16. W. Zhang, D. Duan, and L. Yang, “Relay Selection from a Battery Energy Efficiency Perspective,” in Proceedings of IEEE Military Communication Conference, Boston, MA, October 18-21, 2009.
17. D. Duan, L. Yang and J. C. Principe, “Cooperative Diversity of Spectrum Sensing in Cognitive Radio Networks,” in Proceedings of IEEE Wireless Communications & Networking Conference, Budapest, Hungary, April 5-8, 2009.
18. D. Duan, F. Qu, L. Yang, A. Swami and J. C. Principe, “Modulation Selection from a Battery Power Efficiency Perspective: A Case Study of PPM and OOK,” in Proceedings of IEEE Wireless Communications & Networking Conference, Budapest, Hungary, April 5-8, 2009.
19. F. Qu, D. Duan, L. Yang and A. Swami, “Signaling with Imperfect Channel State Information: A Battery Power Efficiency Comparison,” in Proceedings of IEEE Military Communication Conference, Orlando, FL, October 29-31, 2007.
20. D. Duan, W. Liu, P. Chen, M. Rao and J. C. Principe, “Variance and Bias Analysis of Information Potential and Symmetric Information Potential,” IEEE Workshop on Machine Learning for Signal Processing, Thessaloniki, Greece, August 27-29, 2007.
Program of Study:
ECE799
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ECE799
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