Abstract
Voltage stability and line losses are inevitable issues even in modern power systems. There are several techniques that emerged to solve problems in the power system to provide quality and uninterrupted supply to customers. The algorithms used in this paper to determine the appropriate location and size of the Static Var Compensator (SVC) in the Distribution Network (DN) are Moth Flame Optimization (MFO) and Particle Swarm Optimization (PSO). The objective function is defined to minimize voltage deviation and power loss. The burning problem of voltage stability improvement current scenario is because of a rise in electricity demands in all sectors. Paramount duties of power engineers are to keep the system stable and maintain voltage magnitude constant even during peak hours. The results were checked with the aid of MATLAB on Wolaita Sodo radial distribution of 34 bus data networks. The potential use of SVC is key to solve distribution system power quality issues and estimating the advantage of the installation. The results obtained from the test system were compared with PSO results. This comparison was done to know the computational time of proposed techniques. The performance of the MFA based SVC was superior in distribution system and highlighted the importance of device.
Highlights
In modern times, distribution network structure is going through massive transformation
With deep analysis and literature review, MFA has been selected for optimization techniques. It was tested on Wolaita Sodo 34-bus system successfully and to show greatness of the work, load of the tested system had changed randomly to register changing of the location and size. e proposed algorithm could work on any kind of distribution system; depending on real and reactive power demands, it will optimize the place and size of the FACTS devices. erefore, research gap of the work is clearly fulfilled and executed in the respective sections of the paper
It is evident that the Particle Swarm Optimization (PSO) approach shows its advancement and benefits over the existing method in terms of line loss decrement and computational time
Summary
Distribution network structure is going through massive transformation. In order to increase voltage stability margin, FACTS controllers should be installed at the appropriate location to incorporate reactive power. E first stage uses the well-known Loss Sensitivity Factor (LSF) approach to determine the installation locations and initial capacity of DGs, and the second stage determines the optimal installation capacities of DGs to maximize investment benefits and system voltage stability and minimize line losses. E proposed two-stage optimization method outperforms current state-of-the-art DG planning approaches like NSGA-II, MOPSO, and MOHS, implying that our method achieves better outcomes across the range, including higher investment benefits, improved voltage stability, and lower line losses [9]. It was discovered that STATCOM improves the voltage profile and reduces power loss by increasing the capacity of the distribution line [11]. The crucial clearing time for the system will be extended [13]
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