PSO Price Penalty Factor Choices for Solving Dynamic Economic Emission Dispatch Problem

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Particle swarm optimization (PSO) is the most common technique used to solve the dynamic economic emission dispatch (DEED) problem in power systems. The main objective of solving the DEED problem is to ensure that every power generating unit connected in the power system can produce electricity at the lowest possible fuel consumption and emission rates. In addition, the solution must be achieved while maintaining the load and system constraints. When solving the DEED problem, different PSO price penalty factors are used to combine the economic dispatch problem and the emission problem into a single multi-objective function. In this paper, an investigation of the effect of different PSO price penalty factors on solving DEED problem is examined and tested on a case study. Simulation results show the effectiveness of the PSO price penalty factors for solving the DEED problem. It also shows that Min-Max price penalty factor provides the minimum DEED problem overall cost.

Original languageEnglish
Title of host publicationProceedings of the 16th IEEE AFRICON, AFRICON 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350336214
Publication statusPublished - 2023
Event16th IEEE AFRICON, AFRICON 2023 - Nairobi, Kenya
Duration: 20 Sept 202322 Sept 2023

Publication series

NameIEEE AFRICON Conference
ISSN (Print)2153-0025
ISSN (Electronic)2153-0033


Conference16th IEEE AFRICON, AFRICON 2023


  • dynamic economic emission dispatch
  • particle swarm optimization
  • price penalty factor
  • ramp rate
  • time varying load

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering


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