Two-stage economic and environmental load dispatching framework using particle filtering

Juan Pablo Sáenz, Nurcin Celik, Hui Xi, Young Jun Son, Shihab Asfour

Research output: Contribution to journalArticlepeer-review

11 Scopus citations


Economic load dispatch (ELD) is the operation of generation plants producing reliable electricity at the lowest cost, while recognizing limitations of the system. The environmental economic load dispatch (EELD) problem extends the ELD to include environmental considerations which makes it even more challenging due to the fact that it considers a very large scale and dynamic system that is highly complex and has inherent uncertainty. In this study, we propose a novel two-stage economic and environmental load dispatching framework using particle filtering for the efficient and reliable dynamic dispatching of electricity under uncertainty. The proposed framework includes (1) a short term demand forecasting algorithm using wavelet transform adaptive modeling, and (2) a dynamic load dispatching algorithm using particle filtering developed in a simulation environment. The proposed approach has been successfully demonstrated for different scenarios in the original IEEE-30 bus test system, which has been benchmarked against contemporary models available in the literature; and a modified version of the IEEE-30 bus test system, where the loads are modeled to update according to the weather and other external conditions.

Original languageEnglish (US)
Pages (from-to)93-110
Number of pages18
JournalInternational Journal of Electrical Power and Energy Systems
Issue number1
StatePublished - 2013


  • Electricity demand forecasting
  • Environmental and economic load dispatching
  • Particle filtering
  • Real time dispatching

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering


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