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

Conference paper (2020)

Authors

Iman M. Hosseini Naveh Azad Islamic University

E. Rakhshani Intelligent Electrical Power Grids -

Hasan Mehrjerdi Qatar University

José L. Rueda Intelligent Electrical Power Grids -

P. Palensky Intelligent Electrical Power Grids -

Research Group

Intelligent Electrical Power Grids () (TU Delft)

DOI

https://doi.org/10.1109/SGRE46976.2019.9020691

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

More Info

expand_more

To reference this document use:

http://resolver.tudelft.nl/uuid:b17ea71b-c614-4586-9342-f893a24aaff0

Published Date

2020

Language

English

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Electrical Sustainable Energy

Research Group

Intelligent Electrical Power Grids

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.

Files

09020691.pdf

(.pdf | 0.743 Mb)