Species-based Quantum Particle Swarm Optimization for economic load dispatch

• Published in: International journal of electrical power & energy systems 2014-12, Vol.63, p.311-322
• Main Authors: Hosseinnezhad, Vahid, Rafiee, Mansour, Ahmadian, Mohammad, Ameli, Mohammad Taghi
• Format: Article
• Language: English
• Subjects: Applied sciences; Economic load dispatch; Electrical engineering. Electrical power engineering; Electrical power engineering; Exact sciences and technology; Miscellaneous; Operation. Load control. Reliability; Power networks and lines; Smooth and non-smooth cost function; Species-based Quantum Particle Swarm Optimization (SQPSO)
• ISSN: 0142-0615; 1879-3517
• DOI: 10.1016/j.ijepes.2014.05.066

•In this paper, a new intelligent method called SQPSO is proposed.•Sample benchmark functions are used to evaluate the performance of SQPSO.•This paper presents a SQPSO based algorithm to solve constrained ELD.•The performance of SQPSO has been tested on systems possessing 6, 15 and 40 units.•The findings affirm that the method can be a promising approach for solving ELD. Economic load dispatch (ELD) is one of the important optimization problems in the operation of power systems which can be helpful to create effective generating management plans. In this paper, the ELD problem is discussed considering transmission network losses and practical constraints of plants such as generation ramp rate, prohibited operation zones, and valve-point effects. A new method called Species-based Quantum Particle Swarm Optimization (SQPSO), which is based on the Quantum Particle Swarm Optimization (QPSO), is proposed and applied in order to solve this problem possessing non-smooth and smooth cost functions. In the proposed intelligent technique, the particles are classified according to the output results and they explore the answers in each iteration in-group form. The new method has just one control parameter. The simulation results and the numerical investigations of various examples are compared with other conventional techniques to assess the efficiency of the proposed method. The results of the numerical investigations well depict that in spite of its simplicity, the proposed method is superior over the other techniques from standpoint of optimum answer exploitation as well as possessing appropriate and acceptable speed and stability.