Distributed generator (DG) placement in distribution system is one of the important tasks for better operation of distribution system. Distribution system has high r/x ratio and high operating current resulting into higher power loss and higher voltage drop. The main objective of this paper is to minimize the active power loss and to improve voltage profile of overall system by optimal sizing a...

Application of distributed generation (DG) resources is one of the methods used in design and operation of distribution systems to improve power quality and reliability of load power supply of consumers. In this paper, a new method is proposed for the design and operation of distribution systems with DG resources application by finding the optimal sitting and sizing of generated power of DG wit...

Optimal allocation of Distributed Generations (DGs) is one of the major problems of distribution utilities. Optimum locations and sizes of DG sources have profoundly created impact on system losses, voltage profile, and voltage stability of a distribution network. In this paper Quasi-Oppositional Swine Influenza Model Based Optimization with Quarantine (QOSIMBO-Q) has been applied to solve a mu...

selective harmonic elimination (she) is a powerful modulation scheme aims to find the required switching angles in order to eliminate the number of undesired harmonics. she is a complicated problem which consists of several nonlinear equations which have multiple local minima. in order to eliminate the higher number of undesired harmonics and as a result reducing the total harmonic distortion (...

In this paper an Enhanced Teaching-Learning Based Optimization (ETLBO) algorithm is employed to design stable digital infinite impulse response (IIR) filter using Lp-norm error criterion. The original TLBO algorithm has been remodeled by merging the concept of opposition-based learning and migration for selection of good candidates and to maintain the diversity, respectively. The multiobjective...

The advancement in the field of aerospace has increased manifold over the past 4 decades with UAV design optimization being no exception. UAV Design and Optimization is a game of compromise. We cannot obtain a design which is best in each and every aspect. Over the years people have been using natured inspired algorithms to solve design optimization problems. This paper presents the application...

The aim of this paper is to detect bank credit cards related frauds. The large amount of data and their similarity lead to a time consuming and low accurate separation of healthy and unhealthy samples behavior, by using traditional classifications. Therefore in this study, the Adaptive Neuro-Fuzzy Inference System (ANFIS) is used in order to reach a more efficient and accurate algorithm. By com...

Resource allocation is a non-polynomial complete problem in the cloud data center that selects proper resources to execute many fine computational granularity tasks. Customer requirements and capacity of applications change frequently. To bridge gap between frequently changing customer requirement available infrastructure for services, we propose dynamic resource strategy using an adaptive mult...