Wide-Area Measurement-Based Two-Level Control Design to Tolerate Permanent Communication Failures

Author:

Bento Murilo Eduardo Casteroba1ORCID

Affiliation:

1. Department of Electrical Engineering, Federal University of Rio de Janeiro, Rio de Janeiro 21941909, Brazil

Abstract

The operation of modern power systems must meet stability requirements to guarantee the supply of electrical energy. One of these requirements is to ensure that the low-frequency oscillation modes have high damping ratios to avoid angular instability and future power system blackouts. Advances in phasor measurement units (PMUs) have contributed to the development and improvement of wide-area damping controllers (WADCs) capable of increasing the damping rates of the oscillation modes of the system, especially the inter-area modes. Nevertheless, the operation of WADCs is vulnerable to communication failures and cyber-attacks, and if not properly designed the WADC can affect the stability of the entire system. This research proposes a procedure for designing a WADC robust to permanent communication failures using a linear quadratic regulator (LQR) and genetic algorithms. Case studies conducted on an IEEE 68-bus test power system show the effectiveness of the WADC designed by the proposed procedure even when communication failures are occurring in the system. The use of genetic algorithms improves the convergence and results of the LQR-based method.

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior—Brasil

Publisher

MDPI AG

Subject

Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous),Building and Construction

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Design of a Wide-Area Damping Controller to Tolerate Multiple Permanent Communication Failures Using Bio-Inspired Algorithms;2023 15th IEEE International Conference on Industry Applications (INDUSCON);2023-11-22

2. Load Margin Assessment of Power Systems Using Recurrent Neural Networks;2023 15th IEEE International Conference on Industry Applications (INDUSCON);2023-11-22

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