The paper highlights on a new method to solve the network reconfiguration problem. The uncertainty of system loads vary from time to time and makes the distribution system operation and control more complex. Thus for a feeder system power loss is not at its minimum. In this context a methodology to reconfigure the microgrid and also to facilitate its operation in autonomous mode is being discus...

2 Assistant professor, 3 Associate professor, Alternate Hydro Energy Centre, IIT Roorkee, Roorkee-247667, India . Abstract— Optimal siting and sizing of Distributed Generation (DG) and other power compensating devices in distribution networks are the two crucial and also very important factors to get maximum benefits such as technical, economical, and environmental both for the utility and cust...

Optimal placement of distributed generation (DG) is an essential task for distribution companies in order to operate the network good operating conditions. DG units optimization problem where minimization active power losses considered as objective function. In this paper, hybrid genetic dragonfly algorithm used technique find optimal location and size units. The proposed implemented on IEEE 15...

Recent developments in the electric power and problems arising from construction and maintenance of large power plants have raised a great deal of interest in distributed power generation (DG). Distributed generation units due to specifications, technology and location network connectivity can improve system and load point reliability indices. In this paper, the placement and sizing of Distribu...

This paper presents a chaotic artificial bee colony (CABC) algorithm for optimal placement and sizing of DGs on distribution systems with an aim of reducing the power losses and improving voltage stability. The exploitation ability of solutions to the food searching process is improved in the CABC algorithm to avoid the premature convergence of an artificial bee colony algorithm. The proposed a...