My Account | Careers | Downloads | Blog

PROJECT TITLE :

Improved particle swarm optimisation for multi-objective optimal power flow considering the cost, loss, emission and voltage stability index

ABSTRACT :

The study presents an improved particle swarm optimisation (IPSO) method for the multi-objective optimal power flow (OPF) drawback. The proposed multi-objective OPF considers the cost, loss, voltage stability and emission impacts as the objective functions. A fuzzy call-based mechanism is used to pick the simplest compromise resolution of Pareto set obtained by the proposed algorithm. Furthermore, to improve the standard of the solution, particularly to avoid being trapped in native optima, this study presents an IPSO that profits from chaos queues and self-adaptive ideas to regulate the particle swarm optimisation (PSO) parameters. Additionally, a brand new mutation is applied to increase the search ability of the proposed algorithm. The thirty-bus IEEE test system is presented to Illustrate the appliance of the proposed drawback. The obtained results are compared with those in the literatures and the prevalence of the proposed approach over other methods is demonstrated.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE : Fully Dynamic kk-Center Clustering With Improved Memory Efficiency ABSTRACT: Any machine learning library worth its salt will include both static and dynamic clustering algorithms as core components. The sliding
PROJECT TITLE : IPFS and Blockchain based Reliability and availability improvement for integrated Rivers’ streamflow data ABSTRACT: The collection of data on streamflow using a variety of methods and the dissemination of
PROJECT TITLE : Fully Dynamic k-Center Clustering with Improved Memory Efficiency ABSTRACT: Any machine learning library worth its salt will include both static and dynamic clustering algorithms as core components. The sliding
PROJECT TITLE : Using Improved Conditional Generative Adversarial Networks to Detect Social Bots on Twitter ABSTRACT: The detection and elimination of dangerous social bots in social media has piqued commercial and academic interest.
PROJECT TITLE : Boosting Structure Consistency for Multispectral and Multimodal Image Registration ABSTRACT: In computer vision and computational photography, multispectral imaging is essential. It is vital to align spectral band

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry