Active Power Loss Minimization in Radial Distribution Networks with Analytical Method of Simultaneous Optimal DG sizing

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Active Power Loss Minimization in Radial Distribution Networks with Analytical Method of Simultaneous Optimal DG sizing

Conference Paper (2016)

Author(s)

Mohsin Shahzad (Austrian Institute of Technology)

Ishtiaq Ahmad (Austrian Institute of Technology)

Wolfgang Gawlik (Technische Universität Wien)

Peter Palensky (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Research Group

Intelligent Electrical Power Grids

Distributed generation Simultaneous optimal sizing Active power loss Analytical expressions Time varying load Radial distribution system Statis load

DOI related publication

https://doi.org/10.1109/ICIT.2016.7474797 Final published version

To reference this document use

https://resolver.tudelft.nl/uuid:b62c2ec7-8f31-43d3-884b-b4780d9a341c

More Info

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Publication Year

2016

Language

English

Research Group

Intelligent Electrical Power Grids

Pages (from-to)

470-475

Publisher

IEEE

ISBN (electronic)

978-1-4673-8075-1

Event

2016 IEEE International Conference on Industrial Technology, ICIT 2016 (2016-03-14 - 2016-03-17), Taipei, Taiwan

Downloads counter

48

Abstract

A method of reducing active power losses in distribution networks by simultaneous placement of optimally sized DGs is presented in this paper. Optimal DG sizes are calculated using analytical expressions in Python environment. IEEE 37 node test system, developed in DigSILENT PowerFactory, is used for the simulations. Three different use cases are presented in this work for validation and comparison. The active power loss reduction is compared with the base case (without any DGs). Different DG types, based on active and reactive power output, are considered during this work. The analytical expressions for simultaneous sizing proved their usefulness for loss minimization in radial networks. The complete study is done for the cases of three and four DGs placement in the system. To highlight the expanded capabilities of proposed method, it is applied to both the static and time varying load conditions.