Coordinated design of PSS and unified power flow controller using the combination of CWT and Prony methods with the help of SPEA II multi‐objective optimisation algorithm

Naghshbandy, Ali Hesami; Faraji, Ayda

doi:10.1049/iet-gtd.2018.6605

Cited by 19 publications

(10 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Coordination Control Damping PSS and FACTS are combined to dampen various electromechanical oscillation modes effectively. However, this combination of damping controllers needs precision; otherwise, the entire power system stability may be negatively affected [118,119]. The collaborative design of PSS and FACTS has been the subject of numerous studies [120][121][122][123][124].…”

Section: Facts-based Dampingmentioning

confidence: 99%

Solar, Wind and Their Hybridization Integration for Multi-Machine Power System Oscillation Controllers Optimization: A Review

et al. 2022

View full text Add to dashboard Cite

Massive growth in global electrical energy demand has necessitated a genuine exploration and integration of solar and wind energy into the electrical power mix. This incorporation goes a long way in improving the cumulative generated power capacity of the power system. However, wind and solar photovoltaic (PV) are intermittent in nature, making the provisioning of a good maximum power tracking (MPPT) scheme necessary. Furthermore, the integration is characterized by synchronization challenges and introduces various modes of power system oscillations as it is converter-driven. This greatly affects the overall stability of the integrated power mix. Consequently, various technological models have been designed to address these challenges ranging from MPPT schemes, phase-lock loop (PLL), virtual synchronous generator (VSG), power system stabilizers (PSS), flexible AC transmission system (FACTS), coordinated control and artificial intelligence (AI). In this work, a multi-machine power system model is reviewed for integration stability studies. Various technical solutions associated with the integration are also reviewed. MPPT, PLL, VSG, PSS, FACTS, coordinated control, and various optimization technique schemes used for damping controller design are discussed.

show abstract

Section: Facts-based Dampingmentioning

confidence: 99%

Solar, Wind and Their Hybridization Integration for Multi-Machine Power System Oscillation Controllers Optimization: A Review

et al. 2022

View full text Add to dashboard Cite

show abstract

“…Several evolutionary algorithms are suggested to find the nondominated Pareto solutions for a MOO. Some of them are strength Pareto evolutionary algorithm (SPEA) [34,35], niched Pareto genetic algorithm (NPGA) [36], and the improved version of nondominated sorting genetic algorithm (NSGA-II) [37]. Among these approaches, the NSGA-II shows the most effective technique to find a diverse set of solutions and calculating the solution near true Pareto optimality solutions [38,39].…”

Section: Non-dominating Sorting Binary Genetic Algorithm (Nsbga -Ii) ...mentioning

confidence: 99%

Intelligent Multiobjective NSBGA-II Control of Power Converters in DC Microgrids

Vafamand

Zarei

et al. 2021

IEEE Trans. Ind. Electron.

View full text Add to dashboard Cite

General rightsCopyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. Users may download and print one copy of any publication from the public portal for the purpose of private study or research.  You may not further distribute the material or use it for any profit-making activity or commercial gain  You may freely distribute the URL identifying the publication in the public portal If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim.

show abstract

“…e concept of the output channel in this paper is the output signal measured by the system. e measurement output series obtained in modal analysis generally contains much redundant information [12,13], and the amount of calculation can be reduced by reducing the redundant information. e reference channel is a subset y ref ∈ R r of the output column vector, where r is the dimension of the reference channel, and the following equation is obtained:…”

Section: Low-frequency Electromechanical Samplingmentioning

confidence: 99%

Adaptive Configuration Method of Low-Frequency Electromechanical Sampling Information in Building Electrical System

Bai

Zhang

2021

Mathematical Problems in Engineering

View full text Add to dashboard Cite

In order to enhance the reliability of the electrical systems in low frequency, an adaptive configuration method of low-frequency electromechanical sampling information based on thyristor controlled series compensation (TCSC) is designed. The electrical system is simplified to a linear invariant system, and a stochastic subspace identification (SSI) method is established by using the singular value decomposition principle to collect low-frequency electromechanical sampling information. The reference channel technology is introduced to design the reference channel covariance matrix to judge whether low-frequency information is generated and improve the efficiency of sampling information acquisition. The architecture and working principle of the controllable series compensation device are analyzed, and the test signal method is used to evaluate the low-frequency modes and the information required by the device among the electrical system regions of buildings. The alternative input signals are selected by comparing different input signal residue ratios. The TCSC device parameters are adjusted by the compensation residue phase method, so as to realize the adaptive configuration of different low-frequency electromechanical sampling information and ensure the stable operation of the electrical system. The experimental results show that the proposed configuration scheme can effectively improve the damping ratio of the system and has an excellent effect on suppressing the continuous oscillation under a low-frequency fault.

show abstract

Coordinated design of PSS and unified power flow controller using the combination of CWT and Prony methods with the help of SPEA II multi‐objective optimisation algorithm

Cited by 19 publications

References 43 publications

Solar, Wind and Their Hybridization Integration for Multi-Machine Power System Oscillation Controllers Optimization: A Review

Solar, Wind and Their Hybridization Integration for Multi-Machine Power System Oscillation Controllers Optimization: A Review

Intelligent Multiobjective NSBGA-II Control of Power Converters in DC Microgrids

Adaptive Configuration Method of Low-Frequency Electromechanical Sampling Information in Building Electrical System

Contact Info

Product

Resources

About