The objective of this paper is to investigate the enhancement of damping the low frequency oscillations via tuning of static synchronous compensator (STATCOM) damping controller. The problem of STATCOM based damping controller is formulated as an optimization problem according with the time domain-based objective function which is solved by a quantum-behaved particle swarm optimization (QPSO) t...

The endmember extraction algorithm, which selects a collection of pure signature spectra for different materials, plays an important role in hyperspectral unmixing. In this paper, the endmember extraction algorithm is described as a combinatorial optimization problem and a novel Mutation Operator Accelerated Quantum-Behaved Particle Swarm Optimization (MOAQPSO) algorithm is proposed. The propos...

Network intrusion detection finds variant applications in computer and network industry. How to achieve high intrusion detection accuracy and speed is still received considerable attentions in this field. To address this issue, this work presents a novel method that takes advantages of multi-kernel computation technique to realize speedy and precise network intrusion detection and isolation. In...

*Correspondence: [email protected] Department of Electric engineering, Xi’an Jiaotong-Liverpool University, Ren’ai road 111, Suzhou, People’s Republic of China Abstract A comparative study of the use of bio-inspired optimization technologies including the Cuckoo Search (CS) algorithm, the Differential Evolution (DE) algorithm, and Quantum-behaved Particle Swarm Optimization (QPSO) in the ...

Optimization problems are widely encountered in various fields of mechanical engineering. Sometimes such problems can be very complex due to the actual and practical nature of the objective function or the model constraints. During the history of science of computational intelligence, many evolutionary algorithms and swarm intelligence approaches were proposed having more or less success in sol...

Many versatile and promising swarm intelligence evolutionary algorithms are being developed to solve engineering optimization problems. Although have been implemented in various fields, there is still potential for enhancement the domain of complex, electromagnetic, multimodal objective To effectively address shortcomings slow convergence speed observed both smart quantum particle (QPSO) differ...

Higher penetration of variable renewable energy sources into the grid brings down plant load factor thermal power plants. However, during sudden changes in load, plants support grid, though at higher ramping rates and with inefficient operation. Hence, further additions must be backed by battery storage systems to limit rate a avoid deploying diesel generators. In this paper, battery-integrated...