Design of Multivariable PI Controller Using Evolutionary Algorithms for VSP based AC/DC Interconnected Systems

Iman Mohammad Hosseini Naveh, Elyas Rakhshani, Hasan Mehrjerdi, José Rueda Torres, Peter Palensky

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

Abstract

A new application of Multivariable Proportional-Integral (MPI) controller with using evolutionary algorithms for a VSP based AC/DC interconnected power system model is proposed. The VSP based HVDC model is added for mitigation of system frequency dynamics by emulating virtual inertia. The designed heuristic-based multivariable PI controller is proposed for better performance of the system's states during contingencies. The proposed MPI (MPI) controller is modified by adding optimisation-based evolutionary algorithms to improve characteristic performance model versus conventional control methods. Simulations results demonstrate how the proposed MPI controller can optimally improve the performance of the power system, especially when a VSP base inertia emulation is activated in the system.
Original languageEnglish
Title of host publication2nd International Conference on Smart Grid and Renewable Energy, SGRE 2019 - Proceedings
PublisherIEEE
Pages1-6
Number of pages6
ISBN (Electronic)978-1-7281-2960-0
ISBN (Print)978-1-7281-2961-7
DOIs
Publication statusPublished - 2020
EventSGRE 2019 : 2nd International Conference on Smart Grid and Renewable Energy - Doha, Qatar
Duration: 19 Nov 201921 Nov 2019
Conference number: 2nd

Conference

ConferenceSGRE 2019
CountryQatar
CityDoha
Period19/11/1921/11/19

Keywords

  • Load frequency control
  • VSP
  • AC/DC interconnected systems
  • MPI Controller
  • PSO
  • GA
  • ICA

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