Optimisation of hybrid renewable energy using particle Swarm optimisation techniques (Record no. 19455)

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040 ## - CATALOGING SOURCE
Original cataloging agency AIKTC-KRRC
Transcribing agency AIKTC-KRRC
100 ## - MAIN ENTRY--PERSONAL NAME
9 (RLIN) 20977
Author Fareesa, Firdouse
245 ## - TITLE STATEMENT
Title Optimisation of hybrid renewable energy using particle Swarm optimisation techniques
250 ## - EDITION STATEMENT
Volume, Issue number Vol.3(2), Jul-Dec
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. South Africa
Name of publisher, distributor, etc. AkiNik Publications
Year 2022
300 ## - PHYSICAL DESCRIPTION
Pagination 70-82p.
520 ## - SUMMARY, ETC.
Summary, etc. Rough estimate calculation of hybrid systems in determining the appropriate size and exact component
selection has resulted in a high initial setup. It thus becomes a major challenge for potential users.
Many users are interested in a cost-effective hybrid system with better performance and efficiency.
Hence this research work utilizes a formulation of the Optimisation problem, developed from the
hybrid system components to determine the most economical size of PV array, battery bank, and
sustainable power rating of diesel generator. Hence, delivered a cost-effective and sustainable power
supply for Community. This research aims to optimally size a photovoltaic (PV) panel, energy storage
system (batteries) and diesel generator for the community. The objectives are; to utilize an existing
model for the various components of the energy system, to utilize an algorithm coded using MATLAB
software to determine the numbers of Photovoltaic (PV) panels, exact energy storage system and
suitable generator size needed for the optimal configuration and reliability index, and to analyses the
result of numbers of the panel, numbers of batteries power rating of generator and cost of total
generated energy for the optimal design required for sustainable energy in community. The study will
cover the optimal sizing of PV panels, battery storage system and the diesel system using Particle
Swarm Optimization (PSO) and Differential Evolution (DE) by determining the numbers of
appropriate solar PV panels, the rating of the diesel generator to be installed, the number of batteries to
be installed, to determine total energy cost and reliability of the system. However, the study does not
cover the component characteristics of inverter, charge controller analyses and placement in the
community, India. Renewable energy development in Nigeria is key to sustaining human development.
This study establishes an ideal size for photovoltaic (PV), diesel generators, and energy storage
systems. The photovoltaic (PV) system is connected to a battery, which functions as an energy storage
system, allowing for greater stability by storing extra energy and delivering the energy when required.
At the same time, the diesel generator serves as the backup power source. Finally, the optimal sizing
result was found to have satisfactorily catered for the load demand in with zero loss of energy
probability and minimum Levelized cost of energy.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 4623
Topical term or geographic name entry element Electrical Engineering
700 ## - ADDED ENTRY--PERSONAL NAME
9 (RLIN) 20978
Co-Author Reddy, Surender
773 0# - HOST ITEM ENTRY
International Standard Serial Number 2708-4574
Title International journal of advances in electrical engineering
Place, publisher, and date of publication Johannesburg AkiNik Publications
856 ## - ELECTRONIC LOCATION AND ACCESS
URL https://www.electricaltechjournal.com/article/27/3-1-9-769.pdf
Link text Click here
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Koha item type Articles Abstract Database
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent Location Current Location Shelving location Date acquired Barcode Date last seen Price effective from Koha item type
          School of Engineering & Technology School of Engineering & Technology Archieval Section 2023-05-26 2023-0872 2023-05-26 2023-05-26 Articles Abstract Database
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