A novel particle swarm optimization method based on quantum mechanics computation for thermal economic load dispatch problem

作者：Chakraborty Shantanu^*; Senjyu Tomonobu; Saber Ahmed Yousuf; Yona Atsushi; Funabashi Toshihisa

来源：IEEJ Transactions on Electrical and Electronic Engineering, 2012, 7(5): 461-470.

DOI：10.1002/tee.21759

• economic load dispatch
• quantum mechanics
• particle swarm optimization

This paper presents an efficient strategy to solve the thermal economic load dispatch (ELD) problem by considering several aspects of ELD. ELD performs an important role in the economical operation of power system, which essentially involves nonlinearity according to the characteristics of the generators. The complexity is amplified when the generators%26apos; prohibited zones and valve-point effect are considered, which makes ELD a nonconvex and nonsmooth problem. The strategy employs a mechanism involving a quantum mechanics-inspired particle swarm optimization (QMPSO). The conventional PSO is modified by integrating quantum mechanical theory which redefines the particles%26apos; positions and velocities in a dynamic manner and therefore explores more search space. The QMPSO employs a multipopulation-based scheme which ensures particle movement and avoids premature convergence at the same time. Moreover, in order to diversify the particles, a dynamic mutation operator is introduced in the proposed method. Such features deliver a fine balance between the local and global searching abilities. Simulations are carried out by considering several cases of thermal units of varying combinations of system configurations such as with and without the valve point, with and without network loss, and for one or several hours of load demand. The results are quite promising and effective compared with several benchmark methods.

• 出版日期2012-9