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September 10, 2025Periodicals of Engineering and Natural Sciences (PEN)Open Access

Application of a genetic algorithm for planning loads of a power supply system with a network photo-power plant and a heat active consumer

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Authors

BLBoris V. LukutinKKKarrar Hameed Kadhim

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Overview

Novel approach optimizes household energy loads using genetic algorithm, highlighting savings potential.

Key Points

  • The genetic algorithm approach optimizes electrical load planning, resulting in reduced electricity bills and enhanced user satisfaction.
  • Results indicate substantial savings when optimal scheduling is utilized, especially in comparison to traditional methods without scheduling.
  • The study employs dynamic programming and swarm optimization to formulate load planning solutions for various energy service scenarios.
  • Tests conducted using simulation software show notable variations in performance across seasons in relation to heat load and power generation.

Cite This Study

Lukutin et al. (2021) studied this question.

synapsesocial.com/papers/68c19ab49b7b07f3a061c895https://doi.org/10.21533/pen.v9.i4.995
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