Kowsalya M

Department of Energy and Power Electronics

School of Electrical Engineering

Vellore Campus

Sudabattula S

Fulltext

Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

&nbsp;

&nbsp;

VIT University

Energy Procedia

2018 International Conference on Intelligent Circuits and Systems (ICICS)

Static Economic Dispatch Incorporating Renewable Energy Resources and FACTS Devices

International Journal of Electrical Power & Energy Systems

Optimal location and sizing of capacitor placement in radial distribution system using Bacterial Foraging Optimization Algorithm

Optimal location and size of distributed generation (DG) in the distribution system play a significant role in minimizing power losses, operational cost and improving voltage stability. This paper presents a new approach to find the optimal location and size of DG with an objective of minimizing network power losses, operational costs and improving voltage stability. Loss sensitivity factor is used to identify the optimal locations for installation of DG units. Bacterial Foraging Optimization Algorithm (BFOA) is used to find the optimal size of DG. BFOA is a swarm intelligence technique which models the individual and group foraging policies of the Escherichia coli bacteria as a distributed optimization process. The technical constraints of voltage and branch current carrying capacity are included in the assessment of the objective function. The proposed method has been tested on IEEE 33-bus and 69-bus radial distribution systems with various load models at different load levels to demonstrate the performance and effectiveness of the technique. © 2013 Elsevier B.V. © 2014 Elsevier Inc. © 2013ElsevierB.V. Allrightsreserved.

Swarm and Evolutionary Computation

Optimal size and siting of multiple distributed generators in distribution system using bacterial foraging optimization

Optimal allocation of multi-type distributed generators using backtracking search optimization algorithm

IET Generation, Transmission & Distribution

Capacitor allocations in radial distribution networks using cuckoo search algorithm

Optimal capacitor placement in radial distribution systems using teaching learning based optimization

Distributed Energy Resources Allocation Using Flower Pollination Algorithm in Radial Distribution Systems

Journal	Data powered by TypesetEnergy Procedia
Publisher	Data powered by TypesetElsevier BV
ISSN	1876-6102
Open Access	Yes