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OPTIMAL ALLOCATION OF DG UNITS FOR VOLTAGE STABILITY ENHANCEMENT AND POWER LOSS MINIMIZATION IN RADIAL DISTRIBUTION SYSTEM

Journal: International Journal of Electrical Engineering and Technology (IJEET) (Vol.9, No. 6)

Publication Date:

Authors : ; ;

Page : 35-46

Keywords : Cuckoo Search Algorithm; Distributed Generation; Radial Distribution Systems; Particle Swarm Optimization; and Power Loss.;

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Abstract

Distributed Generation (DG) technology is the most efficient and economical way of generating the power. DG units play an important role of injecting the real and reactive power for improving the stability of the network in Radial Distribution Systems (RDS). The main aim of the DGs is to generate the required power near the load centres. The voltage profile improvement and loss reduction done by an optimal placement and sizing of DG units in the distribution system. In this paper, a combination of Particle Swarm Optimization (PSO) with Cuckoo Search Algorithm (CSA) is proposed to compute the optimal DG placement and size. This proposed methodology is named as hybrid PSO-CSA methodology. The main objective of this hybrid PSO-CSA methodology is to decrease the power losses and enhance the voltage stability in the RDS. The proposed hybrid PSO-CSA methodology is implemented in IEEE 118 bus systems. The performance is analysed in terms of power loss. The performance of hybrid PSO-CSA methodology is evaluated with the conventional method named as Adaptive CSA (ACSA). The power loss of hybrid PSOCSA methodology in test case 3 (i.e., systems with reconfiguration and installation of multi DG units) is 344.4543 kW, but it is less compared to the ACSA power loss 586.24 kW.

Last modified: 2019-01-22 14:52:08