Optimal distributed generation placement using artificial intelligence for improving active radial distribution system

Author:

Jumaa Fadhel A.,Neda Omar Muhammed,Mhawesh Mustafa A.

Abstract

There are several profits of distributed generator (DG) units which are believed for improving the safety of the distribution power grids. However, these profits can be maximized by ensuring optimum sizing and positioning of DG units because an arbitrary location of DG units may adversely affect and jeopardize power grids which could contribute to maximising of power loss and degradation of the voltage profile. Therefore, several approaches were suggested to ensure optimum position and size of DGs. The primary aim of this article is for establishing technique for optimum scheduling and operating of DG to lessen power loss, revamp voltage profile and overall network reliability. Artificial intelligence method called particle swarm optimization (PSO) is utilized for finding the best site and size of DG to lessen power loss and boost the voltage profile. In this paper, IEEE 33 distribution system is utilized to display applicability of PSO. The results of the PSO are compared with the results gotten by other methods in the literature. Finally, the results show that the PSO is superior than the other methods.

Publisher

Institute of Advanced Engineering and Science

Subject

Electrical and Electronic Engineering,Control and Optimization,Computer Networks and Communications,Hardware and Architecture,Instrumentation,Information Systems,Control and Systems Engineering,Computer Science (miscellaneous)

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Optimal Location of Distributed Generation for Loss Minimization by Application of Machine Learning;2024 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS);2024-02-24

2. “Optimal placement and sizing of distributed generation in power distribution system: a comprehensive review”;Energy Sources, Part A: Recovery, Utilization, and Environmental Effects;2023-06-04

3. Sea Lion Optimization based Optimal Distributed Generation Placement and Sizing for Voltage Profile Enhancement;2023 7th International Conference on Intelligent Computing and Control Systems (ICICCS);2023-05-17

4. Optimal DG unit placement in distribution networks by multi-objective whale optimization algorithm & its techno-economic analysis;Electric Power Systems Research;2023-01

5. PSO-Based Distributed Generation Planning;2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC);2022-12-15

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