HYBRID SHUFFLE FROG LEAPING ALGORITHM AND GENETIC ALGORITHM FOR ECONOMIC LOAD DISPATCH WITH WIND POWER UNITS | ||||
| ERJ. Engineering Research Journal | ||||
| Article 2, Volume 38, Issue 4, October 2015, Page 251-259 PDF (426.87 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/erjm.2015.66847 | ||||
 View on SCiNiTO | ||||
| Author | ||||
| Ehab E. Elattar | ||||
| Department of Electrical Engineering, Faculty of Engineering, Menoufiya University | ||||
| Abstract | ||||
| Economic load dispatch (ELD) problem considering valve point effect and wind power is a large scale mixed-integer nonlinear problem. Solving this problem is one of the critical tasks in electric power system operation. So, proposing an accurate method to solve this problem is of great interest. Shuffle frog leaping algorithm (SFLA) is recently proposed to solve many optimization problems but it has some problems. It is often being trapped in local optima. In this paper, a hybrid shuffle frog leaping algorithm and genetic algorithm (HSFLAGA) is proposed to solve this problem. The proposed algorithm can be derived by combining the SFLA and genetic crossover and mutation operators so that the drawbacks of original SFLA algorithm can be treated before employing it to solve the ELD problem with valve point effect and wind power. To show the effectiveness of the HSFLAGA algorithm, several test systems with different numbers of generating units are used. The results of the proposed HSFLAGA algorithm are compared with those obtained by other published methods employing same test systems. The obtained results prove the efficiency and the superiority of HSFLAGA algorithm over other published methods. | ||||
| Keywords | ||||
| Wind power penetration; economic load dispatch; valve effect; shuffle frog leaping algorithm and genetic algorithm | ||||
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