Jayabarathi T

Department of Electrical Engineering

School of Electrical Engineering

Vellore Campus

Kola Sampangi Sambaiah

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.

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VIT University

International Journal of Ambient Energy

Fulltext

International Transactions on Electrical Energy Systems

Loss minimization techniques for optimal operation and planning of distribution systems: A review of different methodologies

Optimal allocation of distributed generation units is essential to ensure power loss minimization, while meeting the real and reactive power demands in a distribution network. This paper proposes a solution to this non-convex, discrete problem by using the hybrid grey Wolf optimizer, a new metaheuristic algorithm. This algorithm is applied to IEEE 33-, IEEE 69-, and Indian 85-bus radial distribution systems to minimize the power loss. The results show that there is a considerable reduction in the power loss and an enhancement of the voltage profile of the buses across the network. Comparisons show that the proposed method outperforms all other metaheuristic methods, and matches the best results by other methods, including exhaustive search, suggesting that the solution obtained is a global optimum. Furthermore, unlike for most other metaheuristic methods, this is achieved with no tuning of the algorithm on the part of the user, except for the specification of the population size. © 2017 IEEE.

IEEE Access

Optimal Allocation of Distributed Generation Using Hybrid Grey Wolf Optimizer

Perspectives in Science

Optimal allocation of solar based distributed generators in distribution system using Bat algorithm

Ain Shams Engineering Journal

Optimal placement and sizing of multiple distributed generating units in distribution networks by invasive weed optimization algorithm

Sustainable Energy Technologies and Assessments

Optimal location and sizing of distributed generation unit using intelligent water drop 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 reconfiguration and renewable distributed generation allocation in electric distribution systems

Journal	International Journal of Ambient Energy
Publisher	Informa UK Limited
ISSN	0143-0750
Open Access	0