Intelligent power management system of Bangladesh using artificial neural network

Md Mahfuzur Rahman, Joy Shaha, Navid Hossain, Arifur Rahman Sabuj, Shuvra Saha, A. S.M. Bakibillah

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

Abstract

In this research work, we have developed an intelligent power management system using Artificial Neural Network (ANN) which will control load shedding automatically in a local distribution area and utilize different types of power generation units like conventional and non-conventional energy sources. If generation is not sufficient to meet the load demand, then ANN network will anticipate and predict when the load demand is greater than generation and will suggest specifically the area where load shedding would be appropriate. Utilizing and manipulating different types of seasonal and occasional load data (which is actually divided into different areas such as residential-load, industrial-load, commercial-load and VIP-load), we have designed the artificial neural network so that it will automatically show us the area where load-shedding would be preferable on the basis of priority. Hence, the priority is given by the area where maximum load-shedding is desired.

Original languageEnglish
Title of host publicationProceedings - 7th International Conference on Intelligent Systems, Modelling and Simulation, ISMS 2016
EditorsDavid Al-Dabass, Tiranee Achalakul, Rajchawit Sarochawikasit, Santitham Prom-On
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages25-30
Number of pages6
ISBN (Electronic)9781509006649
DOIs
Publication statusPublished - 2017
Externally publishedYes
EventInternational Conference on Intelligent Systems, Modelling and Simulation 2016 - Bangkok, Thailand
Duration: 25 Jan 201627 Jan 2016
Conference number: 7th
https://ieeexplore.ieee.org/xpl/conhome/7875353/proceeding (Proceedings)

Publication series

NameProceedings - International Conference on Intelligent Systems, Modelling and Simulation, ISMS
Volume0
ISSN (Print)2166-0662
ISSN (Electronic)2166-0670

Conference

ConferenceInternational Conference on Intelligent Systems, Modelling and Simulation 2016
Abbreviated titleISMS 2016
Country/TerritoryThailand
CityBangkok
Period25/01/1627/01/16
Internet address

Keywords

  • Artificial Neural Network
  • Error histogram
  • Power System
  • Regression Plot
  • Solar Radiation
  • Supervised Learning

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