▶ Addresses a wide range of timely environment, economic and energy topics ▶ A forum to review, analyze and stimulate the development, testing and implementation of mitigation and adaptation strategies at regional, national and global scales ▶ Contributes to real-time policy analysis and development as national and international policies and agreements are discussed and promulgated ▶ 94% of authors who answered a survey reported that they would definitely publish or probably publish in the journal again

Mitigation and Adaptation Strategies for Global Change

Recently utilities are continuously seeking cost-effective and accurate power quality (PQ) improvement techniques in order to achieve customer satisfaction. This paper intends to provide a comprehensive review on the status of topological aspects of techniques used to improve the power quality in distribution network for the researchers, designers and engineers working in this area. This review helps to select a PQ improvement technique that suits a specific application in terms of technical and economical aspects. More than 300 research publications on the state of the art of PQ improvement techniques have been rigorously analyzed, classified and listed for quick reference.

Topological aspects of power quality improvement techniques: A comprehensive overview

The offshore wave climate of Perth (Western Australia) was analysed using 5 years of non-directional 1-h wave data collected from January 1994 to December 1998, in 48m of water, southwest of Rottnest Island. The mean wave conditions are characterised by a significant wave height (Hs) of 2.2 m and a spectral mean wave period (Tm) of 8.8 s. However, considerable annual variation in the wave conditions is experienced due to a distinct seasonality in the regional wind regime. During summer, daily sea breezes generate moderate seas (ambient Hs = 1.0 to 2.5 m; Tm 8 s). A low-amplitude background swell (Hs > 0.5 m), generated distantly in the Indian and Southern Oceans, is present year-round. Analysis of extreme wave conditions (Hs> 4 m) indicates that, on average, 22 storms are experienced annually, and storms are most frequent and intense during July. Estimates of extreme H, for 1- and 100-year return periods, are 7.1 m and 9.3 m, respectively.

Offshore Wave Climate, Perth (Western Australia), 1994-98

This paper proposes an implementation of distribution static compensator (DSTATCOM) for the three-phase distribution system. The functions of DSTATCOM are harmonics elimination, compensation of reactive power, and load balancing in power factor correction and voltage regulation modes. A variable forgetting factor recursive least square (VFFRLS)-based control algorithm is proposed for effective operation of DSTATCOM to estimate weighted values of active and reactive power components of load current. The proposed control algorithm is fast in convergence and has quick response. A prototype of DSTATCOM is developed in the laboratory using a digital signal processor (dSPACE 1104) and voltage-source converter and tested for various operating conditions under nonlinear load. The performance of DSTATCOM is found satisfactory in mitigating various power-quality problems with the VFFRLS-based control algorithm.

Variable Forgetting Factor Recursive Least Square Control Algorithm for DSTATCOM

Condition monitoring and fault diagnosis of induction motors serve as essential techniques toward the reliable operation of critical industrial processes. The finite element method (FEM) offers a great insight into fundamental principle and physical operation of the machine. It can model complex magnetic circuit topology, discrete windings layouts, and nonlinear magnetic material properties of the machine. It determines the machine parameters (such as the magnetic field distribution, flux density, electromagnetic torques, and stator current) and can model localized magnetic saturation due to faults to a high degree of accuracy. Used as fault detection algorithms, the FEM can address the issues such as the lack of comprehensive fault databases through field measurements, and the difficulty in distinguishing fault severity. It can reduce the number of destructive tests required in the field/labs, simulate any faulty states of the machine. Although FEM has been widely used in induction motors’ design and analysis, its application in fault diagnosis is limited despite the promising potential. In this article, a literature review is conducted on induction motor fault diagnosis techniques using FEM. The state-of-the-art techniques reported in the literature are categorized into three streams: first, FEM-based fault diagnosis approach, second, FEM and signal processing-based approach, and third, FEM, machine learning, and other advanced techniques-based approach. The advantages of fault diagnosis techniques using the FEM are demonstrated and the future research direction is recommended.

Induction Motors Fault Diagnosis Using Finite Element Method: A Review

A new control strategy for active power line conditioner (APLC) using adaptive notch filter

This paper presents a new condition monitoring system which is able to evaluate and diagnose the stator winding insulation deterioration (SWID) at its initial stages. During the last few decades, considerable efforts have been made in condition monitoring of SWID in induction motors. Nevertheless, an effective diagnosis technique that can lead to a fast and accurate detection of SWID shortly after its occurrence remains a challenge. A new modelling technique is introduced using finite element method which enables detailed simulation (two turn-to-turn resolution) of insulation degradation in a stator slot. Experimental setup is then used to validate the proposed modelling technique. The detail and approximation coefficients of the discrete wavelet transform are shown to provide effective detection of SWID within a few seconds after its occurrence. The proposed system continuously monitors the status of the induction motor and is able to detect the insulation deterioration of only 1.2% turns of phase winding when it starts to take place. The proposed method is only applicable to turn insulation failure detection. Its viability under different load conditions is validated for a small-sized induction motor with simulated turn insulation fault.

Online technique for insulation assessment of induction motor stator windings under different load conditions

Recently, renewable energy resources and their impacts have sparked a heated debate to resolve the Australian energy crisis. There are many projects launched throughout the country to improve network security and reliability. This paper aims to review the current status of different renewable energy resources along with their impacts on society and the environment. Besides, it provides for the first time the statistics of the documents published in the field of renewable energy in Australia. The statistics include information such as the rate of papers published, possible journals for finding relative paper, types of documents published, top authors, and the most prevalent keywords in the field of renewable energy in Australia. It will focus on solar, wind, biomass, geothermal and hydropower technologies and will investigate the social and environmental impacts of these technologies.

A comprehensive review of renewable energy resources for electricity generation in Australia

In this article, a new fault detection technique is proposed for squirrel cage induction motor (SCIM) based on detection of rotor bar failure. This type of fault detection is commonly carried out, while motor continues to work at a steady-state regime. Recently, several methods have been presented for rotor bar failure detection based on evaluation of the start-up transient current. The proposed method here is capable of fault detection immediately after bar breakage, where a three-phase SCIM is modelled in finite element method (FEM) using Maxwell2D software. Broken rotor bars are then modelled by the corresponding outer rotor impedance obtained by GA, thereby presenting an analogue model extracted from FEM to be simulated in a flexible environment such as MATLAB/SIMULINK. To improve the failure recognition, the stator current signal was analysed using discrete wavelet transform (DWT).

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A Novel Technique for Rotor Bar Failure Detection in Single-Cage Induction Motor Using FEM and MATLAB/SIMULINK

Diagnosis of broken rotor bars in induction motors based on harmonic analysis of fault components using modified adaptive notch filter and discrete wavelet transform

Majid Malekpour

Papers

A new control strategy for active power line conditioner (APLC) using adaptive notch filter

Online technique for insulation assessment of induction motor stator windings under different load conditions

A comprehensive review of renewable energy resources for electricity generation in Australia

A Novel Technique for Rotor Bar Failure Detection in Single-Cage Induction Motor Using FEM and MATLAB/SIMULINK

Diagnosis of broken rotor bars in induction motors based on harmonic analysis of fault components using modified adaptive notch filter and discrete wavelet transform