Short–term hydro–thermal scheduling using CMA–ES with directed target to best perturbation scheme. (2015)

• Record Type: Journal Article
• Authors: Reddy, S. Surender; Panigrahi, B.K.; Debchoudhury, Shantanab; Kundu, Rupam; Mukherjee, Rohan
• Is Part Of: International journal of bio-inspired computation. Volume 7:Number 3(2015)
• Page Start: 195
• Page End: 208
• Publication Date: 2015
• Subjects: 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; Biologically-inspired computing -- Periodicals; Computational biology -- Periodicals; 572.0285
• Languages: English
• ISSNs: 1758-0366

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.