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

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    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 languageEnglish
    Title of host publication1st IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems, ICPEICES 2016
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Electronic)9781467385879
    DOIs
    Publication statusPublished - 13-02-2017
    Event1st IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems, ICPEICES 2016 - Delhi, India
    Duration: 04-07-201606-07-2016

    Publication series

    Name1st IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems, ICPEICES 2016

    Conference

    Conference1st IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems, ICPEICES 2016
    Country/TerritoryIndia
    CityDelhi
    Period04-07-1606-07-16

    UN SDGs

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

    1. SDG 7 - Affordable and Clean Energy
      SDG 7 Affordable and Clean Energy

    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

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