Teaching learning based optimization for short-term hydrothermal scheduling problem considering valve point effect and prohibited discharge constraint |
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| Affiliation: | 1. Dr. B.C. Roy Engineering College, Durgapur, West Bengal 713206, India;2. National Institute of Technology-Agartala, Tripura 799046, India;3. The Department of Electrical Engineering, Jadavpur University, Kolkata, West Bengal 700032, India;1. Faculty of Electrical and Electronics Engineering, Ton Duc Thang University, 19 Nguyen Huu Tho Str., 7th Dist., Ho Chi Minh City, Viet Nam;2. Department of Power Systems, Ho Chi Minh City University of Technology, 268 Ly Thuong Kiet Str., 10th Dist., Ho Chi Minh City, Viet Nam;3. Faculty of Electrical and Electronics Engineering, University of Technical Education Ho Chi Minh City, 1 Vo Van Ngan Str., Thu Duc Dist., Ho Chi Minh City, Viet Nam;1. School of Hydropower and Information Engineering, Huazhong University of Science and Technology, 430074 Wuhan, China;2. School of Resource and Environmental Engineering, Wuhan University of Technology, 430070 Wuhan, China;3. College of Electrical Engineering and New Energy, China Three Gorges University, 443002 Yichang, China;1. Electrical Engineering Department, Dr. BC Roy Engineering College, Durgapur, Durgapur 713206, India;2. Electrical Engineering Department, Dumkal Institute of Engineering and Technology, Basantapur, Murshidabad, India;3. Electrical Engineering Department, IIEST, Shibpur, Howrah 711103, India |
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| Abstract: | This article presents a novel teaching learning based optimization (TLBO) to solve short-term hydrothermal scheduling (HTS) problem considering nonlinearities like valve point loading effects of the thermal unit and prohibited discharge zone of water reservoir of the hydro plants. TLBO is a recently developed evolutionary algorithm based on two basic concept of education namely teaching phase and learning phase. In first phase, learners improve their knowledge or ability through the teaching methodology of teacher and in second part learners increase their knowledge by interactions among themselves. The algorithm does not require any algorithm-specific parameters which makes the algorithm robust. Numerical results for two sample test systems are presented to demonstrate the capabilities of the proposed TLBO approach to generate optimal solutions of HTS problem. To test the effectiveness, three different cases namely, quadratic cost without prohibited discharge zones; quadratic cost with prohibited discharge zones and valve point loading with prohibited discharge zones are considered. The comparison with other well established techniques demonstrates the superiority of the proposed algorithm. |
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| Keywords: | Teaching learning based optimization Hydrothermal scheduling Valve point effect Stochastic optimization Prohibited discharge zone |
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