Modified Cuckoo Search Algorithm to Solve Economic Power Dispatch Optimization Problems

Jian Zhao; Shixin Liu; Mengchu Zhou; Xiwang Guo; Liang Qi

doi:10.1109/JAS.2018.7511138

Volume 5 Issue 4

Jul. 2018

IEEE/CAA Journal of Automatica Sinica

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Article Navigation > IEEE/CAA Journal of Automatica Sinica > 2018 > 5(4): 794-806

Jian Zhao, Shixin Liu, Mengchu Zhou, Xiwang Guo and Liang Qi, "Modified Cuckoo Search Algorithm to Solve Economic Power Dispatch Optimization Problems," IEEE/CAA J. Autom. Sinica, vol. 5, no. 4, pp. 794-806, July 2018. doi: 10.1109/JAS.2018.7511138

Citation:

Jian Zhao, Shixin Liu, Mengchu Zhou, Xiwang Guo and Liang Qi, "Modified Cuckoo Search Algorithm to Solve Economic Power Dispatch Optimization Problems," IEEE/CAA J. Autom. Sinica, vol. 5, no. 4, pp. 794-806, July 2018. doi: 10.1109/JAS.2018.7511138

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Modified Cuckoo Search Algorithm to Solve Economic Power Dispatch Optimization Problems

doi: 10.1109/JAS.2018.7511138

Jian Zhao^{1, 2
,},
Shixin Liu^{1, 3
,},
Mengchu Zhou^{3
,
,},
Xiwang Guo^4
,,
Liang Qi^{5, 6
,}

1.
College of Information Science and Engineering, Northeastern University, Shenyang 110819, China
2.
School of Science, University of Science and Technology Liaoning, Anshan 114051, China
3.
Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ 07102, USA
4.
College of Computer and Communication Engineering, Liaoning Shihua University, Fushun 113001, China
5.
Department of Computer Science and Technology, Shandong University of Science and Technology, Qingdao 266590, China
6.
Department of Computer Science and Technology, Tongji University, Shanghai 201804, China

Funds:

the National Key Research and Development Program of China 2017YFB0306400

in part by the National Natural Science Foundation of China 61573089

in part by the National Natural Science Foundation of China 71472080

in part by the National Natural Science Foundation of China 71301066

Liaoning Province Dr. Research Foundation of China 20175032

More Information

Author Bio:
Jian Zhao received the B.S. and M.S. degrees from University of Science and Technology Liaoning, Anshan, China, in 2004, and 2007, respectively. He is currently working toward the Ph.D. degree in system engineering, Northeastern University, Shenyang, China. He is also a Lecturer at the School of Science at University of Science and Technology Liaoning. His research interests include economic dispatch and coal blending in power system, intelligent optimization algorithm. He has published several journal and conference papers in the above research areas.(e-mail: askdzhj@163.com)

Shixin Liu received the B.S. degree in mechanical engineering from Southwest Jiaotong University, Sichuan, China in 1990, M.S. degree and Ph.D. degree in systems engineering from Northeastern University, Shenyang, China in 1993, and 2000, respectively. He is currently a Professor at the College of Information Science and Engineering, Northeastern University, Shenyang, China. His research interests include intelligent optimization algorithm, project management, and the theory and method of planning and scheduling. He has over 100 publications including 1 book. (e-mail: sxliu@mail.neu.edu.cn)

Mengchu Zhou (S'88-M'90-SM'93-F'03) received the B.S. degree in control engineering from Nanjing University of Science and Technology, Nanjing, China in 1983, the M.S. degree in automatic control from Beijing Institute of Technology, Beijing, China in 1986, and the Ph.D. degree in computer and systems engineering from Rensselaer Polytechnic Institute, Troy, NY in 1990. He joined New Jersey Institute of Technology (NJIT), Newark, NJ in 1990, and is now a Distinguished Professor of Electrical and Computer Engineering. His research interests include Petri nets, intelligent automation, Internet of Things, big data, web services, and intelligent transportation. He has over 700 publications including 12 books, 400+ journal papers (300+ in IEEE transactions), 11 patents and 28 book-chapters. He is the founding Editor of IEEE Press Book Series on Systems Science and Engineering and Editor-in-Chief of IEEE/CAA Journal of Automatica Sinica. He is a recipient of Humboldt Research Award for US Senior Scientists from Alexander von Humboldt Foundation, Franklin V. Taylor Memorial Award and the Norbert Wiener Award from IEEE Systems, Man, and Cybernetics Society. He is a life member of Chinese Association for Science and Technology-USA and served as its President in 1999. He is a Fellow of International Federation of Automatic Control (IFAC), American Association for the Advancement of Science (AAAS) and Chinese Association of Automation (CAA). (e-mail: zhou@njit.edu)

Xiwang Guo received the B.S. degree in computer science and technology from Shenyang Institute of Engineering, Shenyang, China, in 2006, the M.S. degree in aeronautics and astronautics manufacturing engineering from Shenyang Aerospace University, Shenyang, China, in 2009, the Ph.D. degree in system engineering from Northeastern University, Shenyang, China, in 2015. He is currently a Lecturer at the College of Computer and Communication Engineering, Liaoning Shihua University. He is presently a Visiting Scholar of Department of Electrical and Computer Engineering, New Jersey Institute of Technology, USA. His research interests include remanufacturing, recycling and reusing of automotive, intelligent optimization algorithm. He has published over 10 journal and conference proceedings papers in the above research areas. (e-mail: x.w.guo@163.com)

Liang Qi (S'16-M'18) received the B.S. degree in information and computing science and the M.S. degree in computer software and theory from Shandong University of Science and Technology, Qingdao, China, in 2009 and 2012, respectively, and the Ph.D. degree in computer software and theory from Tongji University, Shanghai, China in 2017. He is currently a Lecturer in the Department of Computer Science and Technology, Shandong University of Science and Technology, Qingdao, China. From 2015 to 2017, he was a visiting student in the Department of Electrical and Computer Engineering, New Jersey Institute of Technology, USA. He has authored nearly 20 technical papers in journals and conference proceedings, including IEEE Transactions on System, Man, and Cybernetics: Systems, IEEE Transactions on Intelligent Transportation Systems, and IEEE/CAA Journal of Automatica Sinica. His research interests include Petri nets, discrete event systems, and optimization algorithms. (e-mail: qiliangsdkd@163.com)
Corresponding author: Mengchu Zhou, e-mail: zhou@njit.edu
Received Date: 2017-11-12
Accepted Date: 2018-03-07

Abstract

Abstract

A modified cuckoo search (CS) algorithm is proposed to solve economic dispatch (ED) problems that have nonconvex, non-continuous or non-linear solution spaces considering valve-point effects, prohibited operating zones, transmission losses and ramp rate limits. Comparing with the traditional cuckoo search algorithm, we propose a self-adaptive step size and some neighbor-study strategies to enhance search performance. Moreover, an improved lambda iteration strategy is used to generate new solutions. To show the superiority of the proposed algorithm over several classic algorithms, four systems with different benchmarks are tested. The results show its efficiency to solve economic dispatch problems, especially for large-scale systems.
- Cuckoo search (CS),
- economic dispatch (ED),
- prohibited operating zones,
- ramp rate limits,
- valve-point effects

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References(83)

References

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Modified Cuckoo Search Algorithm to Solve Economic Power Dispatch Optimization Problems

doi: 10.1109/JAS.2018.7511138

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