Multi-objective Shark Smell Optimization for Solving the Reactive Power Dispatch Problem

Mehdi Bagheri, Adilet Sultanbek, Oveis Abedinia, Mohammad Salay Naderi, Mehdi Salay Naderi, Noradin Ghadimi

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

4 Citations (Scopus)

Abstract

In this paper, a new multi-objective shark smell optimization (MOSSO) algorithm is proposed for solving the reactive power dispatch problem based on operational constraints of the generators. This multi-objective problem applied to discovery the settings of continuous as well as discrete control parameters i.e., tap location of tap changing transformers, voltage of generator, and the reactive compensation devices value to solve three objectives at the same time as: Voltage deviation, the total voltage stability and real power loss. To improve the abilities of proposed optimization algorithm a Pareto dominance is considered to provide and sort the dominated and non-dominated solutions. Effectiveness of the proposed approach is applied on different test cases and demonstrated through comparing its performance with other algorithms. The results confirm the proposed algorithm great potential in handling the multi objective problems in power systems.

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538651858
DOIs
Publication statusPublished - Oct 16 2018
Event2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2018 - Palermo, Italy
Duration: Jun 12 2018Jun 15 2018

Other

Other2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2018
CountryItaly
CityPalermo
Period6/12/186/15/18

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Keywords

  • generation unit constraints
  • MOSSO
  • Reactive power dispatch
  • Strength Pareto

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering
  • Industrial and Manufacturing Engineering
  • Environmental Engineering
  • Hardware and Architecture

Cite this

Bagheri, M., Sultanbek, A., Abedinia, O., Naderi, M. S., Naderi, M. S., & Ghadimi, N. (2018). Multi-objective Shark Smell Optimization for Solving the Reactive Power Dispatch Problem. In Proceedings - 2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2018 [8494502] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EEEIC.2018.8494502