Adaptive Dragonfly Optimization Based Placement of Capacitor Banks for Voltage Stability Enhancement in Distribution Networks

Author(s):  
B. Suresh Babu

The present day ever escalating power demand moves the operating point of the distribution networks in the vicinity of the voltage stability boundaries. Any small reactive power unbalance between the generation and demand may trigger voltage instability, which makes the voltage magnitude to fall slowly until a rapid change occurs. This paper presents an adaptive dragonfly optimization based method for placement of shunt capacitor banks with a view of improving the voltage stability besides enhancing the voltage profile and lowering the network losses. Simulation results on 33 and 69-node distribution networks exhibit the greater performances of the suggested algorithm.

2018 ◽  
Vol 6 (11) ◽  
pp. 355-365
Author(s):  
K. Lenin

In this paper optimal reactive power dispatch problem (ORPD), has been solved by Enriched Red Wolf Optimization (ERWO) algorithm. Projected ERWO algorithm hybridizes the wolf optimization (WO) algorithm with swarm based algorithm called as particle swarm optimization (PSO) algorithm. In the approach each Red wolf has a flag vector, and length is equivalent to the whole sum of numbers which features in the dataset of the wolf optimization (WO). Exploration capability of the projected Red wolf optimization algorithm has been enriched by hybridization of both WO with PSO. Efficiency of the projected Enriched Red wolf optimization (ERWO) evaluated in standard IEEE 30 bus test system. Simulation study indicates Enriched Red wolf optimization (ERWO) algorithm performs well in tumbling the actual power losses& particularly voltage stability has been enriched.


2021 ◽  
Author(s):  
Alexander Hamlyn

To take on the challenge for improving the distribution system voltage stability, this thesis research carried out an extensive study of the stability issues and available technology dealing with the stability problems. Load shedding, Load reduction through transformer tap changing, reactive power compensation, and DG control are investigated in detail. The new strategies proposed, and formulations presented, in this thesis research, are designed for carrying out the corrective actions against voltage instability with a great degree of feasability to achieve optimal operations. A new concept of composite power was developed in this thesis research, for prediction of the trend of voltage stability, and a novel prediction of voltage stability and consequently determination of corrective actions was formulated. A detailed hardware/software based development of the algorithm and strategy for voltage stability enhancement was presented. A detailed set of case studies for verification of the voltage stability enhancement was developed.


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