Title: Optimal allocation of renewable distributed generators and shunt capacitors in distribution system using hybrid intelligent approach

Authors: Suresh Kumar Sudabattula; Velamuri Suresh; N. Prabaharan; R. Sitharthan; M. Rajesh

Addresses: School of Electronics and Electrical Engineering, Lovely Professional University, Phagwara, Punjab, India ' School of Electrical and Electronics Engineering, SASTRA Deemed University, Thanjavur, Tamilnadu, India ' School of Electrical and Electronics Engineering, SASTRA Deemed University, Thanjavur, Tamilnadu, India ' School of Electrical Engineering, Vellore Institute of Technology, Vellore, Tamilnadu, India ' RaGa Academic Solutions, Chennai, India

Abstract: Increased utilisation of naturally available energy sources in a distribution system (DS) is customary in recent years. These RES are intermittent in nature and impact the system performance significantly. In this paper, a methodology is utilised for bidding the lowest price to the consumer based on the availability of RES. A physical communication infrastructure between the utility and user is enabled to coordinate between the RES dominant utility and consumers. The main objectives of this communication enabled user utility interface system are to minimise power loss and enhance the voltage profile simultaneously. A multi-objective approach considering active power loss index (ALPI), voltage deviation index (VDI), and voltage stability index (VSI) are presented to solve the renewable distributed generation (RDG) and shunt capacitors (SCs) allocation problem. A combination of sensitivity analysis and random walk moth flame optimisation (RWMFO) is utilised for solving the aforementioned multi-objective function. IEEE 33 and 69 bus test systems are taken for analysis. Finally, the implemented method is compared with recent techniques available in the literature.

Keywords: secure communication; privacy-preserving smart contracts; renewable energy; power loss; voltage profile; sensitivity analysis; random walk moth flame optimisation; RWMFO; active power loss index; ALPI; voltage deviation index; VDI; voltage stability index; VSI.

DOI: 10.1504/IJAHUC.2021.115831

International Journal of Ad Hoc and Ubiquitous Computing, 2021 Vol.37 No.2, pp.98 - 112

Received: 24 Oct 2020
Accepted: 15 Jan 2021

Published online: 22 Jun 2021 *

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