Impact of the Kaikōura earthquake on the electrical power system infrastructure

2017 ◽  
Vol 50 (2) ◽  
pp. 300-305 ◽  
Author(s):  
Yang Liu ◽  
Nirmal-Kumar Nair ◽  
Andrew Renton ◽  
Stuart Wilson
Keyword(s):  
Power System ◽  
Electrical Power ◽  
Electrical Power System ◽  
Electrical Transmission ◽  
Earthquake Preparedness ◽  
Infrastructure Performance ◽  
Kaikoura Earthquake ◽  
The Impact ◽  
Transmission And Distribution ◽  
Background Context

This paper summarizes the impact the 2016 Kaikōura earthquakes have had on electrical transmission and distribution infrastructure performance. It also provides background context to the distribution network operator’s (i.e. MainPower’s) prior earthquake preparedness following the 2010 earthquakes in the region.

Gradient Ascent Optimization for Fault Detection in Electrical Power System Based on Wavelet Transformation

2019 ◽  
Vol 14 ◽  
Author(s):  
Iyappan Murugesan ◽  
Karpagam Sathish
Keyword(s):  
Feature Extraction ◽  
Fault Detection ◽  
Power System ◽  
Electrical Power ◽  
Daubechies Wavelet ◽  
Electrical Power System ◽  
Gradient Ascent ◽  
Neural Learning ◽  
Weight Value ◽  
Transmission And Distribution

: This paper presents electrical power system comprises many complex and interrelating elements that are susceptible to the disturbance or electrical fault. The faults in electrical power system transmission line (TL) are detected and classified. But, the existing techniques like artificial neural network (ANN) failed to improve the Fault Detection (FD) performance during transmission and distribution. In order to reduce the power loss rate (PLR), Daubechies Wavelet Transform based Gradient Ascent Deep Neural Learning (DWT-GADNL) Technique is introduced for FDin electrical power sub-station. DWT-GADNL Technique comprises three step, normalization, feature extraction and FD through optimization. Initially sample power TL signal is taken. After that in first step, min-max normalization process is carried out to estimate the various rated values of transmission lines. Then in second step, Daubechies Wavelet Transform (DWT) is employed for decomposition of normalized TLsignal to different components for feature extraction with higher accuracy. Finally in third step, Gradient Ascent Deep Neural Learning is an optimization process for detecting the local maximum (i.e., fault) from the extracted values with help of error function and weight value. When maximum error with low weight value is identified, the fault is detected with lesser time consumption. DWT-GADNL Technique is measured with PLR, feature extraction accuracy (FEA), and fault detection time (FDT). The simulation result shows that DWT-GADNL Technique is able to improve the performance of FEA and reduces FDT and PLR during the transmission and distribution when compared to state-of-the-art works.

scholarly journals Refining the Power Station Design of the All-Electric Warship

2019 ◽  
Author(s):  
W Edge ◽  
R Partridge ◽  
E Maxeiner
Keyword(s):  
Power Systems ◽  
Power System ◽  
New Technologies ◽  
Electrical Power ◽  
Building Blocks ◽  
High Energy ◽  
Concept Design ◽  
Electrical Power System ◽  
The Impact ◽  
Service Experiences

The next generation of large surface combatants will feature a number of challenging hurdles with regards to performance, complexity and capability whilst being mindful of tomorrow’s fiscal pressures. Over the past two decades, new warship programmes have focussed on more complex, multi-role capabilities necessitating more adaptable mission and platform systems. With tomorrow’s vessels facing a service life between 35-50 years the selected power systems need to be sympathetic of today’s requirements as well as through life technology insertion for tomorrow’s needs. To facilitate this, a number of tomorrow’s warships are looking to adopt an all-electric architecture making use of developing energy storage technologies and more power dense prime movers. Whilst this in itself is no revelation, the impact that electric weapons and sensors have on an electrical power system, as well as the added costs incurred through provision of electrical margins, means it becomes imperative that design experience, lessons learnt, and evolving technologies are all considered during the concept design phase. Electrification of warships has been commonplace since the early 1990s and in-service experiences on platforms with Integrated Power Systems (IPS) are now informing the requirement set for their replacement vessels. The DDG1000 Destroyer as an example, at sea since 2013, has yielded some valuable insights in areas of design optimisation and resilience that can benefit future combatant types. These experiences and the proven products on board these vessels will be augmented by new technologies and configured as part of new architectures to service the new types of loads that accompany the deployment of high energy weapons and sensors. Meeting these demands in an affordable, efficient, resilient and reliable manner will be key to ensuring the future platform’s success and longevity. This paper aims to visit the key in-service experiences of today’s all electric ships whilst considering core aspects of future ‘second generation’ all electric ship design. This will include the need for power system ‘granularity’; investigating the building blocks of power generation that make up these complex systems, whilst analysing the maturity of their constituent parts and the enabling technologies that make these systems possible.

Continuous Improvements Analysis in Energy Efficiency of Steering Power Systems to Light Vehicles

2015 ◽  
Vol 798 ◽  
pp. 92-96
Author(s):  
José Antônio Silva ◽  
Gláucio C. Laun Nacif ◽  
Luben Cabezas-Goméz
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Power System ◽  
Electrical Power ◽  
Steering System ◽  
Bench Test ◽  
Electrical Power System ◽  
Total Energy Consumption ◽  
Hydraulic Power ◽  
The Impact

This study analyses the energy consumption of a vehicle steering system and evaluates potential earnings in using more efficient systems. The energy consumption of the steering system to provide assistance can be until 3% of the vehicle total energy consumption. The technology evolution of the steering system provides a significant reduction in energy consumption. Three types of steering systems were evaluated: Hydraulic Power System, Electro-Hydraulic Power System and Electrical Power System, respectively, considering the consumption and the energy efficiency of their components. Some evaluations of the energy consumed by system components were performed using data from the available sources in the literature and other evaluations were performed via experimental tests on a bench test. A comparative study was set to determine the differences between steering systems regarding the energy consumption and energy efficiency. Consumption analysis of steering system were extended to evaluate the impact in the final vehicle consumption. The Electrical Power System can increase the efficiency in fuel use during operation in the vehicle.

scholarly journals Optical Voltage Transformer Based on FBG-PZT for Power Quality Measurement

Sensors ◽  
2021 ◽  
Vol 21 (8) ◽  
pp. 2699
Author(s):  
Marceli N. Gonçalves ◽  
Marcelo M. Werneck
Keyword(s):  
Power System ◽  
Power Quality ◽  
Distribution System ◽  
Electrical Power ◽  
Quality Measurement ◽  
Pockels Effect ◽  
Electrical Power System ◽  
Voltage Transformer ◽  
Technical Literature ◽  
Distribution Lines

Optical Current Transformers (OCTs) and Optical Voltage Transformers (OVTs) are an alternative to the conventional transformers for protection and metering purposes with a much smaller footprint and weight. Their advantages were widely discussed in scientific and technical literature and commercial applications based on the well-known Faraday and Pockels effect. However, the literature is still scarce in studies evaluating the use of optical transformers for power quality purposes, an important issue of power system designed to analyze the various phenomena that cause power quality disturbances. In this paper, we constructed a temperature-independent prototype of an optical voltage transformer based on fiber Bragg grating (FBG) and piezoelectric ceramics (PZT), adequate to be used in field surveys at 13.8 kV distribution lines. The OVT was tested under several disturbances defined in IEEE standards that can occur in the electrical power system, especially short-duration voltage variations such as SAG, SWELL, and INTERRUPTION. The results demonstrated that the proposed OVT presents a dynamic response capable of satisfactorily measuring such disturbances and that it can be used as a power quality monitor for a 13.8 kV distribution system. Test on the proposed system concluded that it was capable to reproduce up to the 41st harmonic without significative distortion and impulsive surges up to 2.5 kHz. As an advantage, when compared with conventional systems to monitor power quality, the prototype can be remote-monitored, and therefore, be installed at strategic locations on distribution lines to be monitored kilometers away, without the need to be electrically powered.

Analysis between graph-based and Power Transfer Distribution Factors (PTDF)-based model reduction methods in Electric Power Systems

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Diego A. Monroy-Ortiz ◽  
Sergio A. Dorado-Rojas ◽  
Eduardo Mojica-Nava ◽  
Sergio Rivera
Keyword(s):  
Power Systems ◽  
Power System ◽  
Model Reduction ◽  
Electrical Power ◽  
Schur Complement ◽  
Power Transfer ◽  
Electrical Power System ◽  
Admittance Matrix ◽  
Test Beds ◽  
Power Transfer Distribution Factors

Abstract This article presents a comparison between two different methods to perform model reduction of an Electrical Power System (EPS). The first is the well-known Kron Reduction Method (KRM) that is used to remove the interior nodes (also known as internal, passive, or load nodes) of an EPS. This method computes the Schur complement of the primitive admittance matrix of an EPS to obtain a reduced model that preserves the information of the system as seen from to the generation nodes. Since the primitive admittance matrix is equivalent to the Laplacian of a graph that represents the interconnections between the nodes of an EPS, this procedure is also significant from the perspective of graph theory. On the other hand, the second procedure based on Power Transfer Distribution Factors (PTDF) uses approximations of DC power flows to define regions to be reduced within the system. In this study, both techniques were applied to obtain reduced-order models of two test beds: a 14-node IEEE system and the Colombian power system (1116 buses), in order to test scalability. In analyzing the reduction of the test beds, the characteristics of each method were classified and compiled in order to know its advantages depending on the type of application. Finally, it was found that the PTDF technique is more robust in terms of the definition of power transfer in congestion zones, while the KRM method may be more accurate.

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