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Keywords = stud crossover

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20 pages, 4330 KB  
Article
Multiple Fuel Machines Power Economic Dispatch Using Stud Differential Evolution
by Naila, Shaikh Saaqib Haroon, Shahzad Hassan, Salman Amin, Intisar Ali Sajjad, Asad Waqar, Muhammad Aamir, Muneeb Yaqoob and Imtiaz Alam
Energies 2018, 11(6), 1393; https://doi.org/10.3390/en11061393 - 30 May 2018
Cited by 10 | Viewed by 3847
Abstract
This paper presents an optimization method for solving the Power Economic Dispatch (PED) problem of thermal generation units with multiple fuels and valve point loadings. The proposed optimizer is a variant of Differential Evolution (DE) characterized as a Stud Differential Evolution (SDE), which [...] Read more.
This paper presents an optimization method for solving the Power Economic Dispatch (PED) problem of thermal generation units with multiple fuels and valve point loadings. The proposed optimizer is a variant of Differential Evolution (DE) characterized as a Stud Differential Evolution (SDE), which has been proposed earlier and implemented on a hydrothermal energy system. In SDE, an operator named Stud Crossover (SC) is introduced in the conventional DE during the trial vector updating process. In SC operator, a best vector gives its optimal information to all other population members through mating. The proposed algorithm’s effectiveness to solve Multiple Fuel PED problem, with and without Valve Point Loading Effects (VPLEs), has been validated by testing it on 10 machine multiple fuel standard test systems having 2400 MW, 2500 MW, 2600 MW, and 2700 MW load demands. The results depict the strength of SDE over various other methods in the literature. Full article
(This article belongs to the Section F: Electrical Engineering)
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