Optimal PV Distributed Generators Allocation Using Firefly Algorithm to Enhance Voltage Profile

In this paper, the authors propose a methodology to identify the key locations to install PV-distributed generators and also, the optimal amount of PV capacity required to maintain a steady voltage profile and voltage stability. The optimal amount of PV required to better the system performance and...

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Bibliographic Details
Published in:SN computer science 2023-09, Vol.4 (5), p.510, Article 510
Main Authors: Shaik, Aarif, Sudabattula, Suresh Kumar
Format: Article
Language:English
Subjects:
Algorithms
Computer Imaging
Computer Science
Computer Systems Organization and Communication Networks
Cost control
Data Structures and Information Theory
Distributed generation
Efficiency
Electricity
Electricity distribution
Genetic algorithms
Globalization
Heuristic methods
Information Systems and Communication Service
Linear programming
Methods
Optimization
Original Research
Pattern Recognition and Graphics
Research Trends in Computational Intelligence
Software Engineering/Programming and Operating Systems
System effectiveness
Vision
Voltage stability
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Summary:In this paper, the authors propose a methodology to identify the key locations to install PV-distributed generators and also, the optimal amount of PV capacity required to maintain a steady voltage profile and voltage stability. The optimal amount of PV required to better the system performance and to improve the battery life. And this was obtained via the Firefly algorithm and the locations where PV installation results in maximum benefit are obtained through the voltage stability index. The methodology is tested on two test systems, i.e. IEEE 28 and 85-bus systems, the results show that the technique being proposed effectively identifies the critical locations and optimizes the required PV capacity.
ISSN:2661-8907
2662-995X
2661-8907
DOI:10.1007/s42979-023-01946-3