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Effect of Load Model and Load Level on DG Placement by Crow Search Algorithm

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Emerging Trends in Electrical, Communications, and Information Technologies

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 569))

Abstract

Distributed generation is the promising solution for most of the problems faced by Indian radial distribution system like high losses, low end voltages and peak demand. Determining the optimal location and optimal size is one of significant issues in the placement of distributed generation in the distribution system. This paper presents two methods, an Analytical method and CSA (Crow Search Algorithm) for the implementation of distributed generators (DG) on the radial feeders of the distribution systems. The analytical method is so simple and requires load flow solution only twice for determination of site and capacity of DG simultaneously. These methods determine the locations of DG to achieve minimum losses in the system. The main aim of this paper is to know the effect of load modeling and time varying loads on Distributed Generators placement. Distribution system loads are highly voltage sensitive and they are varying continuously. The methods are tested on IEEE standard 69-Bus system and the consequences are discussed and presented. The proposed methods have been implemented using “MATLAB” program and are capable of performing on a radial distribution system of any number of buses and laterals.

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Correspondence to Mareddy Padma Lalitha .

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Padma Lalitha, M., Hemakesavulu, O. (2020). Effect of Load Model and Load Level on DG Placement by Crow Search Algorithm. In: Hitendra Sarma, T., Sankar, V., Shaik, R. (eds) Emerging Trends in Electrical, Communications, and Information Technologies. Lecture Notes in Electrical Engineering, vol 569. Springer, Singapore. https://doi.org/10.1007/978-981-13-8942-9_17

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  • DOI: https://doi.org/10.1007/978-981-13-8942-9_17

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-8941-2

  • Online ISBN: 978-981-13-8942-9

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