GA based optimal location and size of the distributed generators in distribution system for different load conditions

R. Shivarudraswamy; D. N. Gaonkar; N. S. Jayalakshmi

doi:10.1109/ICPEICES.2016.7853256

GA based optimal location and size of the distributed generators in distribution system for different load conditions

R. Shivarudraswamy, D. N. Gaonkar, N. S. Jayalakshmi

Department of Electrical and Electronics Engineering, Manipal Institute of Technology, Manipal

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

8 Citations (Scopus)

Abstract

In the recent past factors such as apprehensions over impacts of environmental aspects, distribution network improvement conditions, and other subsidised programs of the government have affected the distributed generators (DG) units count in commercial and domestic electrical power output. It is known that the optimal size and optimal placement of DG units may lead to low power losses, high voltage profiles. In real time scenario identifying an appropriate DG location and size is hard because of various system constraints. Therefore a method which can identify a optimum DG location and size is necessary. Using the method a power system with an acceptable reliability level and voltage profile can be designed. To serve this purpose in this paper a procedure/method which can calculate the optimum location for DG placement and appropriate DG size has been proposed. This method has been evaluated using a 14 bus distribution system. The optimization method has been designed using genetic algorithm (GA) and also for time varying loads.

Original language	English
Title of host publication	1st IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems, ICPEICES 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781467385879
DOIs	https://doi.org/10.1109/ICPEICES.2016.7853256
Publication status	Published - 13-02-2017
Event	1st IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems, ICPEICES 2016 - Delhi, India Duration: 04-07-2016 → 06-07-2016

Conference

Conference	1st IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems, ICPEICES 2016
Country/Territory	India
City	Delhi
Period	04-07-16 → 06-07-16

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Control and Optimization
Artificial Intelligence
Energy Engineering and Power Technology
Renewable Energy, Sustainability and the Environment
Electrical and Electronic Engineering

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/ICPEICES.2016.7853256

Cite this

Shivarudraswamy, R., Gaonkar, D. N., & Jayalakshmi, N. S. (2017). GA based optimal location and size of the distributed generators in distribution system for different load conditions. In 1st IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems, ICPEICES 2016 Article 7853256 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICPEICES.2016.7853256

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abstract = "In the recent past factors such as apprehensions over impacts of environmental aspects, distribution network improvement conditions, and other subsidised programs of the government have affected the distributed generators (DG) units count in commercial and domestic electrical power output. It is known that the optimal size and optimal placement of DG units may lead to low power losses, high voltage profiles. In real time scenario identifying an appropriate DG location and size is hard because of various system constraints. Therefore a method which can identify a optimum DG location and size is necessary. Using the method a power system with an acceptable reliability level and voltage profile can be designed. To serve this purpose in this paper a procedure/method which can calculate the optimum location for DG placement and appropriate DG size has been proposed. This method has been evaluated using a 14 bus distribution system. The optimization method has been designed using genetic algorithm (GA) and also for time varying loads.",

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Shivarudraswamy, R, Gaonkar, DN & Jayalakshmi, NS 2017, GA based optimal location and size of the distributed generators in distribution system for different load conditions. in 1st IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems, ICPEICES 2016., 7853256, Institute of Electrical and Electronics Engineers Inc., 1st IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems, ICPEICES 2016, Delhi, India, 04-07-16. https://doi.org/10.1109/ICPEICES.2016.7853256

GA based optimal location and size of the distributed generators in distribution system for different load conditions. / Shivarudraswamy, R.; Gaonkar, D. N.; Jayalakshmi, N. S.
1st IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems, ICPEICES 2016. Institute of Electrical and Electronics Engineers Inc., 2017. 7853256.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Shivarudraswamy, R.

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PY - 2017/2/13

Y1 - 2017/2/13

N2 - In the recent past factors such as apprehensions over impacts of environmental aspects, distribution network improvement conditions, and other subsidised programs of the government have affected the distributed generators (DG) units count in commercial and domestic electrical power output. It is known that the optimal size and optimal placement of DG units may lead to low power losses, high voltage profiles. In real time scenario identifying an appropriate DG location and size is hard because of various system constraints. Therefore a method which can identify a optimum DG location and size is necessary. Using the method a power system with an acceptable reliability level and voltage profile can be designed. To serve this purpose in this paper a procedure/method which can calculate the optimum location for DG placement and appropriate DG size has been proposed. This method has been evaluated using a 14 bus distribution system. The optimization method has been designed using genetic algorithm (GA) and also for time varying loads.

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M3 - Conference contribution

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Shivarudraswamy R, Gaonkar DN, Jayalakshmi NS. GA based optimal location and size of the distributed generators in distribution system for different load conditions. In 1st IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems, ICPEICES 2016. Institute of Electrical and Electronics Engineers Inc. 2017. 7853256 doi: 10.1109/ICPEICES.2016.7853256

GA based optimal location and size of the distributed generators in distribution system for different load conditions

Abstract

Conference

All Science Journal Classification (ASJC) codes

UN SDGs

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