ali shirzadi - Profile on Academia.edu (original) (raw)

Hossein Sharifzadeh related author profile picture

Farshid Keynia related author profile picture

M. A. El-Shorbagy related author profile picture

اسلام الدسوقي related author profile picture

Anastasios Bakirtzis related author profile picture

LUKE JEBARAJ related author profile picture

Nima Amjady related author profile picture

Hossein Shayeghi related author profile picture

Grzegorz Dudek related author profile picture

Boris J. Pavez-Lazo related author profile picture

Uploads

Papers by ali shirzadi

Research paper thumbnail of Unit commitment using a new integer coded genetic algorithm

European Transactions on Electrical Power, 2009

This paper proposes a new Integer-Coded Genetic Algorithm (ICGA) for the solution of the thermal ... more This paper proposes a new Integer-Coded Genetic Algorithm (ICGA) for the solution of the thermal unit commitment problem. The thermal generating units scheduling consists of the sequence of operation/reservation times of the generating units, which is coded into a sequence of alternating sign integer numbers in the proposed ICGA. The minimum up and down time constraints of the generating units are directly coded in the chromosome structure of the ICGA. The proposed ICGA has a new hybrid crossover composed of modified average bound and swapping operators. In addition, a combination of uniform and non-uniform mutations is used as the mutation operator. As a result, the algorithm robustness is improved. Test results with systems of up to 300 units and 24 hours scheduling horizon are presented. The comparison of the obtained results with those of other Unit Commitment (UC) methods justifies the effectiveness of the proposed method in light of minimizing the total operation cost.

Research paper thumbnail of Unit commitment using a new integer coded genetic algorithm

European Transactions on Electrical Power, 2009

This paper proposes a new Integer-Coded Genetic Algorithm (ICGA) for the solution of the thermal ... more This paper proposes a new Integer-Coded Genetic Algorithm (ICGA) for the solution of the thermal unit commitment problem. The thermal generating units scheduling consists of the sequence of operation/reservation times of the generating units, which is coded into a sequence of alternating sign integer numbers in the proposed ICGA. The minimum up and down time constraints of the generating units are directly coded in the chromosome structure of the ICGA. The proposed ICGA has a new hybrid crossover composed of modified average bound and swapping operators. In addition, a combination of uniform and non-uniform mutations is used as the mutation operator. As a result, the algorithm robustness is improved. Test results with systems of up to 300 units and 24 hours scheduling horizon are presented. The comparison of the obtained results with those of other Unit Commitment (UC) methods justifies the effectiveness of the proposed method in light of minimizing the total operation cost.

Log In