Optimal Surge Arrester Parameter Estimation Using a PSO-Based Multiobjective Approach

Zeinoddini‐Meymand, Hamed; Vahidi, B.; Naghizadeh, Ramezan Ali; Moghimi-Haji, Moosa

doi:10.1109/tpwrd.2013.2257880

Cited by 18 publications

(9 citation statements)

References 19 publications

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“…Particle swarm optimisation (PSO), SFLA, and differential evolution (DE), which have been successfully applied for other power system applications [16][17][18][19][20], are implemented to solve the problem. As it will be discussed in Section 4, SFLA has the best performance between these methods.…”

Section: Optimisation Methodsmentioning

confidence: 99%

Single‐port and multi‐port frequency‐dependent network equivalents with numerically stable branches

Haji

Geng

2017

IET Generation, Transmission & Distribution

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Section: Optimisation Methodsmentioning

confidence: 99%

Single‐port and multi‐port frequency‐dependent network equivalents with numerically stable branches

Haji

Geng

2017

IET Generation, Transmission & Distribution

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“…The arrester is modeled by a voltage source connected in series with a linear resistor . Using Kirchhoff's voltage law (KVL), the differential equation can be expressed as (6). Equation (6) is rearranged and the parasitic and arrester impedances are included in the equivalent inductance and resistance as (7).…”

Section: Proposed Extracting Waveform and Circuit Parameter Technmentioning

confidence: 99%

Effective Technique for Circuit and Waveform Parameter Extraction in Impulse Current Tests and Its Application

Yutthagowith

2016

IEEE Trans. Power Delivery

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In this paper, an effective technique for circuit and waveform parameter extraction in an impulse current generation circuit is presented. The technique is derived from the integral form of an ordinary differential equation of which the solution corresponds to the functions of impulse current waveforms. Using an impulse current waveform collected from the experiment, the numerical integration and linear least-square approaches are also employed to determine circuit and waveform parameters. To verify the validity of the proposed technique, the proposed method has been utilized in some applications for waveform parameter evaluation and determination of the appropriate circuit parameters in the impulse current tests. Using the corrected parameters by the proposed method, the impulse current waveforms were precisely generated according to the standard requirement. The simulated results agree well with the experimental results. It is confirmed that the method is fairly highly accurate and very effective in computation cost due to no iteration requirement in the process of the parameter extraction. The technique is very useful in impulse current tests and helps test engineers select appropriate circuit components without trial-and-error approaches.Index Terms-Circuit parameter extraction, impulse current test, linear least square, numerical integration, ordinary differential equation (ODE).

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“…The non-uniform voltage distribution can be solved by adding grading rings to the surge arrester to reduce the effect of stray capacitance (Jinliang et al, 2006a;Sjöstedt et al, 2010). A possible factor of surge arrester degradation is moisture ingress due to weakening of the housing sealing, which can lead to internal discharges (Zeinoddini-Meymand et al, 2013). Conversely, varistors in surge arrester are not affected at low humidity level as it is sealed by glaze layers.…”

Section: Introductionmentioning

confidence: 99%

“…Both algorithms, FEM and intelligent algorithms were verified with particle swarm optimisation (PSO) and differential evolution techniques. In 2013, PSO method was used to prove the accuracy COMPEL 37,1 of surge arresters in minimising the residual peak voltage for lightning surge, switching surge and steep front surge (Zeinoddini-Meymand et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Design technique for leakage current reduction in surge arrester using gravitational search algorithm and imperialist competitive algorithm

Latiff

Illias

Bakar

et al. 2018

COMPEL

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Purpose Leakage current is one of the factors, which can contribute towards degradation of surge arresters. Thus, the purpose of this paper is to study on leakage current within surge arresters and improvement on their design. Design/methodology/approach In this work, a three-dimensional model geometry of 11 kV zinc oxide surge arrester was designed in finite element analysis and was applied to calculate the leakage current under normal operating condition and being verified with measurement results. The optimisation methods were used to improve the arrester design by minimising the leakage current across the arrester using imperialist competitive algorithm (ICA) and gravitational search algorithm (GSA). Findings The arrester design in reducing leakage current was successfully optimised by varying the glass permittivity, silicone rubber permittivity and the width of the ground terminal of the surge arrester. It was found that the surge arrester design obtained using ICA has lower leakage current than GSA and the original design of the surge arrester. Practical implications The comparison between measurement and simulation enables factors that affect the mechanism of leakage current in surge arresters to be identified and provides the ideal design of arrester. Originality/value Surge arrester design was optimised by ICA and GSA, which has never been applied in past works in designing surge arrester with minimum leakage current.

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Optimal Surge Arrester Parameter Estimation Using a PSO-Based Multiobjective Approach

Cited by 18 publications

References 19 publications

Single‐port and multi‐port frequency‐dependent network equivalents with numerically stable branches

Single‐port and multi‐port frequency‐dependent network equivalents with numerically stable branches

Effective Technique for Circuit and Waveform Parameter Extraction in Impulse Current Tests and Its Application

Design technique for leakage current reduction in surge arrester using gravitational search algorithm and imperialist competitive algorithm

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