Optimisation of antenna array allocation for partial discharge localisation in air‐insulated substation

Zhu, Ming-Xiao; Qing, Liu; Wang, Yan‐Bo; Li, Yuan; Deng, Jian; Mu, Hai‐Bao; Zhang, Guan Jun

doi:10.1049/iet-smt.2017.0064

Cited by 5 publications

(4 citation statements)

References 26 publications

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“…Here, eight antennas were adopted and two reference arrays (R1 and R2) with regular distributions were selected, as shown in Figure 8a. The CRLB and RMSE curves were compared, whereby the RMSE simulation was performed according to [14] and the setting parameters were the same as those in the CRLB calculation. The Chan algorithm was adopted to solve the PD coordinates in the RMSE simulation.…”

Section: Array Deployment For Coordinate Estimationmentioning

confidence: 99%

“…To accurately estimate the coordinates of PD sources, the antenna array needs to be placed on a broad space with a length greater than 4 m and is generally mounted on the roof of the control room [4,14]. Under these circumstances, the distance between the antenna array and discharge sources, that is, the distance between the equipment area and control room, is relatively large.…”

Section: Coordinate Estimationmentioning

confidence: 99%

“…Ho and Hahn derived the computational formulas of the FIM for coordinate estimation in two-dimensional (2D) space as follows [14,16]:…”

Section: Objective Function For Coordinate Estimationmentioning

confidence: 99%

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Optimization of Antenna Array Deployment for Partial Discharge Localization in Substations by Hybrid Particle Swarm Optimization and Genetic Algorithm Method

Zhu

Chang

et al. 2018

Energies

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A radio frequency antenna array was adopted to localize partial discharge (PD) sources in an entire substation. The deployment of an antenna array is a significant factor affecting the localization accuracy, and the array needs to be carefully selected. In this work, a hybrid method of particle swarm optimization (PSO) and a genetic algorithm (GA) is proposed to optimize the array deployment. A direction-of-arrival (DOA) estimation algorithm applicable to arbitrary array configurations is firstly presented. The Cramér-Rao lower bound (CRLB) was employed to evaluate the localization accuracy of different arrays, and two objective functions characterizing the estimation errors of coordinates and the DOA are proposed. With the goal of minimizing the objective functions, the array deployments for the coordinate and DOA localizations were optimized by using the hybrid PSO/GA algorithm. Using the developed method, optimal antenna configurations for different constraint areas, aspect ratios, and numbers of sensors were investigated. The results indicate that the optimal deployments for coordinate and DOA estimations are different; specifically speaking, superior DOA performance is achieved when all antennas are placed on the outer boundary of the constraint area while part of the antennas in the optimal coordinate array are placed in the middle position.

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Section: Array Deployment For Coordinate Estimationmentioning

confidence: 99%

Section: Coordinate Estimationmentioning

confidence: 99%

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Optimization of Antenna Array Deployment for Partial Discharge Localization in Substations by Hybrid Particle Swarm Optimization and Genetic Algorithm Method

Zhu

Chang

et al. 2018

Energies

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“…Thus, a careful management of such capital assets has become an important objective for different power firms [1]. PD occurs when the electric field stress inside an insulator exceeds its breakdown strength due to the high applied voltage, an ionization of atoms could possibly take place producing a high-frequency transient current inside the insulation material [2], [3]. Even though PDs might be initially very small, the generated current might gradually cause chemical decomposition of the insulator causing erosion with time.…”

Section: Introductionmentioning

confidence: 99%

On the Electromagnetic Wave Behavior Due to Partial Discharge in Gas Insulated Switchgears: State-of-Art Review

et al. 2019

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The rapid growth of gas insulated switchgears as a compact, efficient, and reliable device has recently been given great attention. Albeit gas insulated switchgears can seldom suffer from failure due to the high resiliency and robustness, some severe damages have been experienced by such devices particularly in the event of partial discharge. Thus, monitoring such accidents has become a vital part of power systems reliability. The ultra-high frequency techniques have recently shown superior performance in the detection and classification of electromagnetic waves produced by partial discharge. This is mainly due to the great immunity to the noise of the ultra-high frequency detection techniques compared with the veryhigh-frequency counterparts. This review paper highlights the mathematical aspects of the electromagnetic waves generated by partial discharge. It also delivers an overview of the electromagnetic wave behavior in the complex structure of gas insulated switchgears, and outlines the important characteristics of the internal and external partial discharge detection using ultra-high frequency methods. INDEX TERMS Electromagnetic waves behavior, finite difference time domain, gas insulated switchgears, partial discharge, sensors, ultra-high frequency measurements.

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Quantitative comparison of partial discharge localization algorithms using time difference of arrival measurement in substation

Zhu

Wang

Chang

et al. 2019

International Journal of Electrical Power & Energy Systems

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Optimisation of antenna array allocation for partial discharge localisation in air‐insulated substation

Cited by 5 publications

References 26 publications

Optimization of Antenna Array Deployment for Partial Discharge Localization in Substations by Hybrid Particle Swarm Optimization and Genetic Algorithm Method

Optimization of Antenna Array Deployment for Partial Discharge Localization in Substations by Hybrid Particle Swarm Optimization and Genetic Algorithm Method

On the Electromagnetic Wave Behavior Due to Partial Discharge in Gas Insulated Switchgears: State-of-Art Review

Quantitative comparison of partial discharge localization algorithms using time difference of arrival measurement in substation

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