Application of meta-heuristic algorithms to reconfigure radial distribution system for optimal cost and reliability
Date
2023-12
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
I.O.E. Pulchowk Campus
Abstract
This research focuses on the application of Metaheuristic algorithms in the field of
power system optimization. The specific problem used to demonstrate that is the reconfiguration
of the radial distribution system in terms of reliability and system loss.
The primary goal of this work is to analyze the performance of multiple metaheuristic
algorithms in reconfiguring radial distribution systems. While all algorithms offer the
solution to the problem, different algorithms favor different kinds of optimization problems
and can find solutions faster and slower than others. GA, PSO, CSO, and GWO
are considered for comparison.
The problem formulated is to optimize the radial distribution system while maintaining
strict radiality for maximum reliability and minimum system loss. For this, a
new approach is suggested where reliability indices and network loss are converted to
into monetary value. Minimization of this value is the primary optimization goal. Reliability
indices are converted by considering losses arising to customers and utility due
to faults.
Description
IEEE 33 bus radial test system and Gothatar Feeder from Mulpani substation are
taken as a test system. In both cases, reconfiguring the system for radiality shows
significant improvement in the system’s operational cost. For the IEEE 33 bus system,
the operational cost was reduced from $576096 to $516871, a 10% reduction in yearly
loss cost. For the Gothatar feeder, the cost was reduced to $358206 from $408641, again
resulting in the reduction of loss cost by over 12%.
Keywords
Meta-heuristic algorithms,, radial distribution system,, Cost and reliability