Abstract
The necessity of Distributed Generation (DG) in the modern power system has increased greatly. Optimal placement and sizing of DGs have a significant impact on the objectives of voltage stability enhancement, real and reactive power loss minimization and power system security and reliability. Different types of DGs such as Type I, Type II, Type III and Type IVare placed. The optimal placement of these DGs is found using Voltage Stability Index (VSI). The optimal sizing of these DGs is done using Differential Evolution (DE) algorithm. MATLAB simulation is carried out in standard IEEE 33-bus test system. The test is performed for various combinations of different types of DG. The results show that the voltage stability index along with Differential Evolution algorithm provides better voltage profile and power loss minimization as compared to the system without DG.
Highlights
Distribution system is an integral part of the power system which supplies electric power to the end consumers.majority of the losses occur in the distribution section of the power system
Distributed Generation (DG) benefit us in many ways by electricity cost savings, loss reduction, voltage profile improvement, system reliability enhancement, power quality improvement and so on [4]
The Voltage Stability Index (VSI) are arranged in the descending order which gives the weakest bus prone to stability issues
Summary
Distribution system is an integral part of the power system which supplies electric power to the end consumers. Shanmugapriyan et al has proposed Distributed Generation Suitability Index (DGSI) to find out the placement of DG and sizing is obtained using Differential Evolution and Particle Swarm Optimization algorithms and the results are compared [14]. Optimal siting and sizing of multiple type DGs for the performance enhancement of Distribution System using Differential Evolution Algorithm algorithm to locate DGs and Alinejad-Beromi et al has used Genetic algorithm [17] for the proper allocation of DGs satisfying the objectives of voltage profile improvement, active power loss, cost minimization and THD minimization. This paper uses voltage stability index for finding optimal DG siting and differential evolution algorithm sizing for satisfying the objectives of enhancing voltage stability and reducing active and reactive power losses.
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