Load-frequency control in a multi-source power system connected to wind farms through multi terminal HVDC systems

Research output: Contribution to journalArticleScientificpeer-review

Researchers

Research units

  • Babol Noshirvani University of Technology
  • University of Beira Interior
  • Mazandaran University of Science and Technology
  • University of Lisbon
  • University of Porto
  • Institute for Systems and Computer Engineering, Technology and Science
  • Instituto de Engenharia de Sistemas e Computadores, Investigação e Desenvolvimento em Lisboa

Abstract

This paper addresses the wind farm contribution in frequency control during the integration in the power grid. In the proposed model, the wind farm utilizes inertia control and droop control techniques with the purpose of improving the frequency regulation. In order to achieve optimal results, all the parameters of the controllers for the different units in the power grid are obtained by using a particle swarm optimization algorithm (PSO) and by introducing a modified objective function instead of a conventional objective function e.g., Integral Time-weighted Absolute Error (ITAE). Also, different constraints such as reheat turbine, time delay, governor dead band and generation rate constraint (GRC) are considered for thermal and hydro units with the aim of studying a more realistic power system, which is the main contribution of this paper when compared to the oth0er works in this field. It is shown that, in case of a perturbation in power demand, the system frequency will recover quickly and effectively in comparison with the traditional approaches. In addition, a sensitivity test is carried out in a single power grid area in order to examine the effectiveness of the proposed approach. Then, the system is extended to a multi-area power system using a multi-terminal HVDC for further investigation of the suggested strategy. Simulation results are presented in order to assess the performance of the proposed approach in the power system.

Details

Original languageEnglish
Pages (from-to)305-315
Number of pages11
JournalComputers and Operations Research
Volume96
Early online date2018
Publication statusPublished - Aug 2018
MoE publication typeA1 Journal article-refereed

    Research areas

  • Frequency control, Multi-terminal HVDC, Particle swarm optimization (PSO), Wind farm

ID: 19136422