Genetic Algorithm for Dynamic Economic Dispatch with Short-Term Load Forecasting

Aidana Kalakova, H. S.V.S.Kumar Nunna, Prashant K. Jamwal, Suryanarayana Doolla

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

Abstract

The shift from conventional energy sources to renewable sources leads to high penetration of Distributed Generators (DGs) in Active Distribution Networks (ADNs). This trend along with other factors causes major problems in ADNs such as energy management, voltage imbalances, poor efficiency, and reliability. To overcome these challenges the article suggests a novel approach by optimally scheduling energy using advanced methods for Dynamic Economic Dispatch (DED) algorithms with machine learning based load forecasts. Initially, the proposed system deploys Short-Term Load Forecasting (STLF) on the load buses based on the previously observed patterns using Multilayer Artificial Neural Networks (MANN). Then, the system implements a Genetic Algorithm based DED with major operational and network constraints. The proposed methods are integrated and tested on the IEEE 30-bus network using Kazakhstan's power plant and electricity demand parameters. The proposed system has shown improvement in the reliability and efficiency of the distributed system. Since the proposed methodology is generic and was verified on the standard radial network it can be further implemented in other systems.

Original languageEnglish
Title of host publication2019 IEEE Industry Applications Society Annual Meeting, IAS 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538645390
DOIs
Publication statusPublished - Sep 2019
Event2019 IEEE Industry Applications Society Annual Meeting, IAS 2019 - Baltimore, United States
Duration: Sep 29 2019Oct 3 2019

Publication series

Name2019 IEEE Industry Applications Society Annual Meeting, IAS 2019

Conference

Conference2019 IEEE Industry Applications Society Annual Meeting, IAS 2019
CountryUnited States
CityBaltimore
Period9/29/1910/3/19

Keywords

  • Active Distribution Network (ADN)
  • Distributed Generator (DG)
  • Distributed Network (DN)
  • Dynamic Economic Dispatch (DED)
  • Genetic Algorithm (GA)
  • Multilayer Neural Network (MNN)
  • Short-Term Load Forecasting (STLF)

ASJC Scopus subject areas

  • Filtration and Separation
  • Fluid Flow and Transfer Processes
  • Process Chemistry and Technology
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Industrial and Manufacturing Engineering
  • Transportation

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  • Cite this

    Kalakova, A., Nunna, H. S. V. S. K., Jamwal, P. K., & Doolla, S. (2019). Genetic Algorithm for Dynamic Economic Dispatch with Short-Term Load Forecasting. In 2019 IEEE Industry Applications Society Annual Meeting, IAS 2019 [8912390] (2019 IEEE Industry Applications Society Annual Meeting, IAS 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IAS.2019.8912390