Title: Modified evolutionary programming for short-term hydrothermal scheduling
Authors: Chitralekha Jena; Mousumi Basu; Chinmoy Kumar Panigrahi
Addresses: School of Electrical Engineering, KIIT University, Bhubaneswar, India ' Department of Power Engineering, Jadavpur University, Kolkata, India ' School of Electrical Engineering, KIIT University, Bhubaneswar, India
Abstract: This paper presents modified evolutionary programming (MEP) method to determine the optimal hourly schedule of power generation in a hydrothermal system. Evolutionary programming (EP) is a class of evolutionary algorithm based on the basic genetic operation of human chromosomes. EP is capable of determining the global or near global solution. In this paper, MEP has been proposed to enhance speed and quality of solution. The MEP algorithm is tested on two test problems and two hydrothermal multi-reservoir cascaded hydroelectric test systems having prohibited operating zones and thermal units with valve point effect. The ramp-rate limits of thermal generators are taken into consideration. The transmission losses are also accounted for through the use of loss coefficients. The results of the proposed MEP approach have been compared with those obtained by other evolutionary methods. It is found that the proposed MEP approach can provide better solution at lesser computational effort.
Keywords: modified evolutionary programming; MEP; hydrothermal scheduling; ramp-rate limits; valve point effect; prohibited operating zones.
International Journal of Power and Energy Conversion, 2018 Vol.9 No.4, pp.384 - 408
Received: 10 May 2016
Accepted: 14 Oct 2016
Published online: 28 Sep 2018 *