KOLA SAMPANGI SAMBAIAH
@pes.edu
Assistant Professor, Department of Electrical and Electronics Engineering
PES University
EDUCATION
M.Tech, Ph.D.,
RESEARCH, TEACHING, or OTHER INTERESTS
Electrical and Electronic Engineering, Energy Engineering and Power Technology, Renewable Energy, Sustainability and the Environment, Control and Systems Engineering
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Prasanth Venkatareddy, Kola Sampangi Sambaiah, and Samanvita N
IEEE
Attaining optimal long-term benefits with suitable distributed generation (DG) allocation in power distribution networks remains a major challenge. Because improper DG allocation has a negative impact on the power distribution network. The current research presents a unique metaheuristic optimization approach for resolving allocation of renewable source allocation in power distribution network. The present algorithm effectively developed on a real-world Indian 28-bus network to deploy wind and solar generation for pursuing technical benefits such as minimization of power loss and voltage deviation. The current method's simulation results are compared to those reported in the literature and determined to be superior.
Kola Sampangi Sambaiah
Elsevier BV
Kola Sampangi Sambaiah and T. Jayabarathi
Informa UK Limited
ABSTRACT Recent studies show that the majority of the researchers have focused on either Distributed Generation (DG) allocation or network reconfiguration for enhancing distribution network performance. However, simultaneous network reconfiguration and DG allocation in the distribution network have been done by very few researchers. The present paper proposes the use of Salp Swarm Algorithm (SSA) for solving network reconfiguration and DG allocation problem. The major objective of the present paper is minimisation of power loss and voltage deviation. The proposed algorithm is based on the salps swarming behavior in oceans when navigating and foraging. To assess the performance of SSA five different scenarios considered are: only reconfiguration, only DG allocation, DG allocation after reconfiguration, reconfiguration after DG allocation and simultaneous reconfiguration and DG allocation. The proposed SSA is tested on 33 and 69 distribution systems. The simulated results illustrate the efficiency of the proposed algorithm when compared to other algorithms.
Sambaiah Kola Sampangi and Jayabarathi Thangavelu
Hindawi Limited
Kola Sampangi Sambaiah and Thangavelu Jayabarathi
Hindawi Limited
Kola Sampangi Sambaiah and T. Jayabarathi
Informa UK Limited
Electric power generated in a centralized station is transmitted through the transmission system and supplied to the consumer end through an electric distribution substation. Electric power losses are high in distribution network compared to the transmission system. The integration of decentralized generation (DG) units in electric distribution networks will reduce power losses. However, the integration of conventional DG is not appreciable due to various techno-economic and environmental concerns. Hence there is a need for the changeover from conventional to renewable energy sources (RES) for energy requirement. Because of vast availability, non-polluting nature, and sustainable character of RES are grasping significant attention over the years. At present most, viable RES are solar and wind energy systems in the world. It is observed that the output generation patterns of solar photovoltaic (PV) arrays and wind turbine generation units (WTGUs) are arbitrary. Hence there is a need for sophisticated method/technique for modeling these generated outputs. In the present paper, optimal modeling and allocation of RES are solved using a novel metaheuristic algorithm. The proposed algorithm is tested on 12, 15 and 85 – bus radial distribution networks (RDNs) and the simulation results obtained are outperforms other existing techniques in the literature.
Kola Sampangi Sambaiah and T. Jayabarathi
Springer Singapore
Kola Sampangi Sambaiah and T. Jayabarathi
Springer Singapore