Resilience of Electricity Distribution Networks Against Extreme Weather Conditions

2017 ◽  
Vol 3 (2) ◽  
Author(s):  
Kim Forssén ◽  
Kari Mäki ◽  
Minna Räikkönen ◽  
Riitta Molarius
Keyword(s):  
Distribution System ◽  
Situational Awareness ◽  
Weather Conditions ◽  
Distribution Networks ◽  
Extreme Weather ◽  
Electricity Supply ◽  
Electricity Distribution ◽  
Overhead Lines ◽  
Electrical Grid ◽  
Adverse Weather

Extreme weather forms a major threat to electricity distribution networks and has caused many severe power outages in the past. A reliable electrical grid is something most of us take for granted, but storms, heavy snowfall, and other effects of extreme weather continue to cause disruptions in electricity supply. This paper contributes to ensuring the continuity of electricity supply under adverse weather events. The aim is to describe and to analyze how the continuity of electricity supply can be ensured in the case of extreme weather. Based on the research, the energy sector is highly dependent on the existing locations and structures of the current infrastructure. Aging infrastructure is commonly seen as a main vulnerability factor. The most vulnerable parts of the electricity distribution system to extreme weather conditions are the networks built as overhead lines. However, the resilience of the networks against extreme weather can be increased significantly in all phases of a disaster management cycle. Methods and technological solutions proposed in this paper to alleviate such problems include adjacent forest management and periodic aerial inspections, situational awareness, distributed generation and microgrids, placement of overhead lines, underground cabling, and unmanned air vehicles. However, it must be noticed that the methods and their value for stakeholders are context-dependent. Thus, their applicability and appropriateness may change over time.

scholarly journals Information System Design for Calculating the Reliability of Electricity Distribution System in Pekalongan Substation Based on Android OS

2020 ◽  
Vol 4 (2) ◽  
pp. 72-78
Author(s):  
Salman Muntaqo Aprilian ◽  
Faaris Mujaahid ◽  
Ramadoni Syahputra ◽  
Karisma Trinanda Putra ◽  
Widyasmoro Widyasmoro
Keyword(s):  
Distribution System ◽  
Reliability Index ◽  
Distribution Networks ◽  
Electricity Distribution ◽  
Android Application ◽  
Information System Design ◽  
Android Os ◽  
Index Measurement ◽  
Smartphone Technology ◽  
Distribution System Reliability

Reliability of distribution networks is a factor that greatly affects customers as consumers of electricity. Analyzing and calculating the reliability of distribution networks are determined by the reliability index including SAIFI, SAIDI, CAIDI, and ASAI. On the other hand, smartphone technology is growing rapidly with a variety of applications to help simplify and accelerate human work in several fields of work. This paper delivers the design of an Android-phone-based analytic tool for distribution system reliability index measurement by developing it on Android application software. This application is named KALINDA, stands for Kalkulator Indeks Keandalan (Reliability Index Calculator), and created by using Android Studio IDE. We compare the data result between KALINDA calculations and manual calculations. The results obtained from the KALINDA application are declared to be valid accurate.

Modelling the impact of micro-combined heat and power generators on electricity distribution networks

2008 ◽  
Vol 222 (7) ◽  
pp. 697-706 ◽  
Author(s):  
M Thomson ◽  
D Infield
Keyword(s):  
Distribution System ◽  
Power Flow ◽  
Internal Combustion Engines ◽  
Energy Use ◽  
Flow Analysis ◽  
Distribution Networks ◽  
Electricity Distribution ◽  
Power Generators ◽  
Electricity System ◽  
The Impact

This paper investigates potential technical effects that a high take up of domestic micro-CHP could have on an electricity distribution system. This study is based on a combination of house-by-house energy use modelling and network power-flow analysis. A variety of micro-CHP technologies are represented, including Stirling engines, internal combustion engines, and fuel cells. These have different heat-to-power ratios and thus different impacts on the electricity system. The results and discussion focus on voltage rise, which is considered to be the primary constraint on allowable penetration.

scholarly journals Will Weather Dampen Self-Driving Vehicles?

2020 ◽  
Vol 101 (11) ◽  
pp. E1914-E1923
Author(s):  
Curtis L. Walker ◽  
Brenda Boyce ◽  
Christopher P. Albrecht ◽  
Amanda Siems-Anderson
Keyword(s):  
Emergency Services ◽  
Situational Awareness ◽  
Transportation Network ◽  
Weather Conditions ◽  
The United States ◽  
Environmental Damage ◽  
Automated Vehicles ◽  
Emergent Technologies ◽  
Adverse Weather ◽  
Vehicular Crashes

AbstractInnovative technologies that support implementation of automated vehicles continue to develop at a rapid pace. These advances strive to increase efficiency and safety throughout the global transportation network. One important challenge to these emergent technologies that remains underappreciated is how the vehicles will perform in adverse weather. Each year, weather-related vehicular crashes account for approximately 21% of all highway crashes in the United States. These crashes result in over 5,300 fatalities, injure over 418,000 people, and cost billions of dollars in insurance claims, liability, emergency services, congestion delays, rehabilitation, and environmental damage annually. Automated vehicles have the potential to significantly mitigate these statistics; however, public, private, and academic partnerships between the meteorological and transportation communities must be established to develop solutions to weather impacts now. To date, such interactions have been sparse and largely contribute to a lack of awareness in how these two communities may collaborate together. The purpose of this manuscript is to call the meteorological community to action and proactive engagement with the transportation community. A secondary goal is to make the transportation community aware of the advantages of teaming with the weather enterprise. Automated vehicles will not only increase travel safety, but also have benefits to the meteorological community through increasing availability of high-resolution surface data observations. The future challenges of these emergent technologies in the context of road weather implications focus on vehicle situational awareness and technological sensing capability in all weather conditions, and transforming how drivers and vehicles are informed of weather threats beyond sensing capabilities.

scholarly journals THERMAL ANALYSIS OF HIGH-CURRENT ELECTRIC CONTACT

2021 ◽  
Vol 21 (3) ◽  
pp. 38-42
Author(s):  
Dušan MEDVEĎ ◽  
◽  
Ján PRESADA ◽  
Keyword(s):  
Distribution System ◽  
Weather Conditions ◽  
Electrical Contacts ◽  
Electric Contact ◽  
High Current ◽  
Adverse Weather Conditions ◽  
Current Contact ◽  
Adverse Weather ◽  
Electrical Devices ◽  
Transmission And Distribution

This paper deals with mathematical modelling of the temperature distribution in the vicinity of a direct electrical high-current contact under the action of a nominal current of 3000 A. High-current electrical contacts belong among the elements by which a large number of electrical devices are connected. They play an important role especially in the transmission and distribution system, where they have to withstand adverse weather conditions that have a significant impact on their degradation.

scholarly journals A Novel Algorithm with Multiple Consumer Demand Response Priorities in Residential Unbalanced LV Electricity Distribution Networks

Mathematics ◽  
2020 ◽  
Vol 8 (8) ◽  
pp. 1220
Author(s):  
Ovidiu Ivanov ◽  
Samiran Chattopadhyay ◽  
Soumya Banerjee ◽  
Bogdan-Constantin Neagu ◽  
Gheorghe Grigoras ◽  
...  
Keyword(s):  
Demand Response ◽  
Distribution System ◽  
Smart Grids ◽  
Low Voltage ◽  
Distribution Networks ◽  
Load Flow ◽  
Electricity Distribution ◽  
Energy Management Systems ◽  
Home Energy Management ◽  
Novel Algorithm

Demand Side Management (DSM) is becoming necessary in residential electricity distribution networks where local electricity trading is implemented. Amongst the DSM tools, Demand Response (DR) is used to engage the consumers in the market by voluntary disconnection of high consumption receptors at peak demand hours. As a part of the transition to Smart Grids, there is a high interest in DR applications for residential consumers connected in intelligent grids which allow remote controlling of receptors by electricity distribution system operators and Home Energy Management Systems (HEMS) at consumer homes. This paper proposes a novel algorithm for multi-objective DR optimization in low voltage distribution networks with unbalanced loads, that takes into account individual consumer comfort settings and several technical objectives for the network operator. Phase load balancing, two approaches for minimum comfort disturbance of consumers and two alternatives for network loss reduction are proposed as objectives for DR. An original and faster method of replacing load flow calculations in the evaluation of the feasible solutions is proposed. A case study demonstrates the capabilities of the algorithm.

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