Optimal Loss Reduction and Reconfiguration of Distribution System with Distributed Generation Using Harmony Search Algorithm

Muthubalaji, S.; Veeraraghavan, Malathi

doi:10.1007/978-3-319-20294-5_27

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2021

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“…The sources of DGs are either solar, wind, mini hydro, fuel cell, biomass, geothermal or gas turbine. DGs benefit us in many ways by electricity cost savings, loss reduction, voltage profile improvement, system reliability enhancement, power quality improvement and so on [4]. In today'smodern distribution system, DGs are used to enhance the performance of the system.…”

Section: Introductionmentioning

confidence: 99%

Optimal siting and sizing of multiple type DGs for the performance enhancement of Distribution System using Differential Evolution Algorithm

Karuppiah¹

2021

TURCOMAT

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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.

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Section: Introductionmentioning

confidence: 99%

Optimal siting and sizing of multiple type DGs for the performance enhancement of Distribution System using Differential Evolution Algorithm

Karuppiah¹

2021

TURCOMAT

View full text Add to dashboard Cite

show abstract

Optimal Loss Reduction and Reconfiguration of Distribution System with Distributed Generation Using Harmony Search Algorithm

Cited by 1 publication

References 29 publications

Optimal siting and sizing of multiple type DGs for the performance enhancement of Distribution System using Differential Evolution Algorithm

Optimal siting and sizing of multiple type DGs for the performance enhancement of Distribution System using Differential Evolution Algorithm

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