Multiple Fuel Machines Power Economic Dispatch Using Stud Differential Evolution

Naila, Shaikh Saaqib Haroon, Shahzad Hassan, Salman Amin, Intisar Ali Sajjad, Asad Waqar, Muhammad Aamir, Muneeb Yaqoob and Imtiaz Alam
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Naila: Department of Electrical Engineering, Bahria University, Islamabad 44000, Pakistan
Shaikh Saaqib Haroon: Department of Electrical Engineering, University of Engineering & Technology, Taxila 47050, Pakistan
Shahzad Hassan: Department of Electrical Engineering, Bahria University, Islamabad 44000, Pakistan
Salman Amin: Department of Electrical Engineering, University of Engineering & Technology, Taxila 47050, Pakistan
Intisar Ali Sajjad: Department of Electrical Engineering, University of Engineering & Technology, Taxila 47050, Pakistan
Asad Waqar: Department of Electrical Engineering, Bahria University, Islamabad 44000, Pakistan
Muhammad Aamir: Department of Electrical Engineering, Bahria University, Islamabad 44000, Pakistan
Muneeb Yaqoob: Department of Electrical Engineering, Bahria University, Islamabad 44000, Pakistan
Imtiaz Alam: Department of Electrical Engineering, Bahria University, Islamabad 44000, Pakistan

Energies, 2018, vol. 11, issue 6, 1-20

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 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.

Keywords: power economic dispatch; multiple fuel machines; stud differential evolution; stud crossover (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
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