Optimal power dispatch in multinode electricity market using genetic algorithm |
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| Affiliation: | 1. Department of Electrical and Electronic Engineering, Stellenbosch University, Stellenbosch, South Africa;2. Department of Electrical Engineering, University of Cape Town, Cape Town, South Africa;1. Department of Electrical and Electronics Engineering, Birla Institute of Technology and Science Pilani, K. K. Birla Goa Campus, Zuarinagar, Goa, India;2. Department of Electrical Engineering, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India;3. Department of Electrical Engineering, University of Sharjah, Sharjah, United Arab Emirates;1. Department of Telecommunications, Electrical, Robotics and Biomedical Engineering, Swinburne University, Australia;2. Department of Electrical Engineering, University of Gujrat, Hafiz Hayat Campus, Gujrat, Pakistan;3. Department of Electrical Engineering, Iowa State University, Ames, IA, United States;4. Department of Electrical Engineering, COMSATS University Islamabad, Pakistan;5. Department of Electrical Engineering, University of Management and Technology Lahore, Sialkot Campus, Sialkot, Pakistan;1. Engineering Physics and Mathematics Department, Faculty of Engineering, Ain Shams University, Cairo, Egypt;2. Department of Mathematical, Physical and Engineering Science, 15th of May Higher Institute of Engineering, Helwan, Cairo, Egypt;3. Faculty of Engineering and Technology, Future University in Egypt, Cairo, Egypt;4. College of Engineering, Design and Physical Sciences, Brunel University London, Uxbridge, United Kingdom;1. Department of Electrical and Electronics Engineering, Bannari Amman Institute of Technology, Sathyamangalam, Tamilnadu, India;2. SRM Institute of Science and Technology, Kattankulathur Campus, Kattankulathur, Tamilnadu, India;3. Renewable Lab, College of Engineering, Prince Sultan University, Riyadh, Saudi Arabia;1. Department of Electrical and Electronics Engineering, Bannari Amman Institute of Technology, Sathyamangalam, Tamilnadu, India;2. SRM Institute of Science and Technology, Kattankulathur Campus, Kattankulathur, Tamilnadu, India;3. Renewable Lab, College of Engineering, Prince Sultan University, Riyadh, Saudi Arabia |
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| Abstract: | The application of the genetic algorithm to solve the optimal power dispatch problem for a multi-node auction market is proposed in this paper. The optimal power dispatch problem is a non-linear optimisation problem with several constraints. The objective of the proposed genetic algorithm is to maximise the total participants’ benefit at all nodes in the system. The proposed algorithm is simple to implement and can easily incorporate additional constraints. The algorithm was tested on a 17-node, 26-line system. The results have shown that the proposed algorithm yields good results that are consistent with typical market behaviour. |
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