Title: Short-term hydro-thermal scheduling using CMA-ES with directed target to best perturbation scheme
Authors: S. Surender Reddy; B.K. Panigrahi; Shantanab Debchoudhury; Rupam Kundu; Rohan Mukherjee
Addresses: Department of Railroad and Electrical Engineering, Woosong University, 17-2, Jayang-dong, Dong-gu, Daejeon, 300718, Korea ' Department of Electrical Engineering, Indian Institute of Technology Delhi, Hauz Khas, New Delhi-110016, India ' Department of Electronics and Telecommunication Engineering, Jadavpur University, Salt Lake City, Kolkata, West Bengal-700098, India ' Department of Electronics and Telecommunication Engineering, Jadavpur University, Salt Lake City, Kolkata, West Bengal-700098, India ' Department of Electronics and Telecommunication Engineering, Jadavpur University, Salt Lake City, Kolkata, West Bengal-700098, India
Abstract: Covariance matrix adaptation evolution strategy with directed target to best perturbation (CMS-ES_DTBP) scheme is applied for determining the optimal hourly schedule of power generation in a hydro-thermal power system. In the proposed approach, a multi-reservoir cascaded hydro-electric system with a nonlinear relationship between water discharge rate, net head and power generation is considered. Constraints such as power balance, water balance, reservoir volume limits and operation limits of hydro and thermal plants are also considered. The feasibility, and effectiveness of the proposed algorithm is demonstrated through a test system, and the obtained results are compared with the existing conventional and evolutionary algorithms. Simulation results reveal that the proposed CMS-ES_DTBP scheme appears to be best in terms of convergence speed and cost compared with other techniques.
Keywords: hydrothermal scheduling; HTS; generation scheduling; multi-chain reservoirs; evolutionary algorithms; covariance matrix; directed target; perturbation; power generation; hydrothermal power plants; hydroelectric systems; water discharge rate; net head; power balance; water balance; reservoir volume; operation limits; simulation.
DOI: 10.1504/IJBIC.2015.069555
International Journal of Bio-Inspired Computation, 2015 Vol.7 No.3, pp.195 - 208
Received: 09 Mar 2013
Accepted: 19 Jan 2014
Published online: 26 May 2015 *