A fuzzy-genetic approach to identify optimal DG sources plan in power system network

Baskaran, J (2022) A fuzzy-genetic approach to identify optimal DG sources plan in power system network. In: 2022 1st International Conference on Computational Science and Technology (ICCST), CHENNAI, India.

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Abstract

With the growing increase in the power demand, there is an increased penetration of DG units in the power distribution network. Optimal integration of DG's is very essential to maintain the system stability. This work focuses on the fuzzy technique to find the optimal deployment of DG sourcess to maximize the total social welfare. The optimum placement of DG is decided by framing a fuzzy rule base with the bus voltage and the line congestion index as the input parameters. Optimal number of DG units is distributed across the network's nodes by the implementation of GA. The performance related to power loss minimization and welfare maximization is analyzed in an IEEE 33 bus test system.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Bus voltage; DG unit; Fuzzy techniques; Genetic approach; Line congestions; Optimal allocation; Power demands; Power loss minimizations; Power system networks; Welfare maximizations; Electric power distribution; Fuzzy inference; Fuzzy rules
Subjects: D Electrical and Electronics Engineering > Image Processing
Divisions: Electrical and Electronics Engineering
Depositing User: Users 5 not found.
Date Deposited: 17 May 2024 09:52
Last Modified: 17 May 2024 09:52
URI: https://ir.psgitech.ac.in/id/eprint/620

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