scholarly journals Shadow Pricing of Electric Power Interruptions for Distribution System Operators in Finland

Energies ◽  
2018 ◽  
Vol 11 (7) ◽  
pp. 1831
Author(s):  
Sinan Küfeoğlu ◽  
Niyazi Gündüz ◽  
Hao Chen ◽  
Matti Lehtonen
Keyword(s):  
Electric Power ◽  
Distribution System ◽  
Distribution Network ◽  
Extreme Weather Events ◽  
Distribution Grid ◽  
Electric Power Supply ◽  
Network Information ◽  
Shadow Pricing ◽  
Weather Events ◽  
The Cost

Increasing distributed generation and intermittencies, along with the increasing frequency of extreme weather events, impose a serious challenge for electric power supply security. Understanding the costs of interruption is vital in terms of enhancing the power system infrastructure and planning the distribution grid. Furthermore, customer rights and demand response techniques are further reasons to study the worth of power reliability. In this paper, the authors make use of directional distance function and shadow pricing methods in a case study of Finland. The aim is to calculate the cost of one minute of power interruption from the perspective of the distribution network operator. The sample consists of 78 distribution network operators from Finland, and uses cost and network information between 2013 and 2015.

scholarly journals Shadow Pricing of Electric Power Interruptions for Distribution System Operators in Finland

2018 ◽  
Author(s):  
Sinan Küfeoğlu ◽  
Niyazi Gündüz ◽  
Hao Chen ◽  
Matti Lehtonen
Keyword(s):  
Electric Power ◽  
Distribution System ◽  
Distribution Network ◽  
Extreme Weather Events ◽  
Distribution Grid ◽  
Electric Power Supply ◽  
Network Information ◽  
Shadow Pricing ◽  
Weather Events ◽  
The Cost

Increasing distributed generation and intermittency, along with the increasing frequency of extreme weather events, impose a serious challenge for the electric power supply security. Understanding the costs of interruption is vital in terms of enhancing the power system infrastructure and planning the distribution grid. On the other hand, customer rights and demand response techniques are further reasons to study the worth of power reliability. In this paper, the authors make use of directional distance function and shadow pricing method for a case study from Finland. The aim is to calculate the cost of one minute of power interruption from the distribution network operator perspective. The sample consists of 78 distribution network operators from Finland with cost and network information between 2013 and 2015.

scholarly journals Assessment and Possible Solution to Increase Resilience: Flooding Threats in Terni Distribution Grid

Energies ◽  
2019 ◽  
Vol 12 (4) ◽  
pp. 744 ◽  
Author(s):  
Tommaso Bragatto ◽  
Massimo Cresta ◽  
Fabrizio Cortesi ◽  
Fabio Gatta ◽  
Alberto Geri ◽  
...  
Keyword(s):  
Power Systems ◽  
Distribution System ◽  
Distribution Network ◽  
Extreme Weather Events ◽  
Distribution Grid ◽  
System Operator ◽  
Development Plans ◽  
New Feature ◽  
Flooding Events ◽  
The Impact

In recent years, because of increasing frequency and magnitude of extreme weather events, the main stakeholders of electric power systems are emphasizing issues about resilience. Whenever networks are designed and development plans are drawn, this new feature must be assessed and implemented. In this paper, a procedure to evaluate the resilience of a distribution network against flooding threats is presented. Starting from a detailed analysis about the resilience of each asset of the grid, the procedure implements the exploration of the network in order to evaluate the impact of interruptions (e.g., in terms of number of disconnected users) produced by the specific threat; then, it calculates the resilience indices of the whole system. The procedure is applied with respect to the flooding threats, on a real distribution network in the center of Italy (i.e., the distribution network of Terni). Referring to this case study, the proposed method suggests countermeasures able to reduce the impact of flooding events and evaluates their benefits. Results indicate that, at the present time, the network is adequately resilient with respect to flooding events, as demonstrated by the index values. However, the remedial actions identified by the procedure are also able to improve the resilience of the network and, in addition, they are in agreement with the development plan already established by the distribution system operator (DSO).

scholarly journals Machine Learning and GIS Approach for Electrical Load Assessment to Increase Distribution Networks Resilience

Energies ◽  
2021 ◽  
Vol 14 (14) ◽  
pp. 4133
Author(s):  
Alessandro Bosisio ◽  
Matteo Moncecchi ◽  
Andrea Morotti ◽  
Marco Merlo
Keyword(s):  
Machine Learning ◽  
Distribution System ◽  
Low Voltage ◽  
Regression Tree ◽  
Distribution Networks ◽  
Machine Learning Algorithms ◽  
Extreme Weather Events ◽  
Medium Voltage ◽  
Weather Events ◽  
Building Area

Currently, distribution system operators (DSOs) are asked to operate distribution grids, managing the rise of the distributed generators (DGs), the rise of the load correlated to heat pump and e-mobility, etc. Nevertheless, they are asked to minimize investments in new sensors and telecommunication links and, consequently, several nodes of the grid are still not monitored and tele-controlled. At the same time, DSOs are asked to improve the network’s resilience, looking for a reduction in the frequency and impact of power outages caused by extreme weather events. The paper presents a machine learning GIS-based approach to estimate a secondary substation’s load profiles, even in those cases where monitoring sensors are not deployed. For this purpose, a large amount of data from different sources has been collected and integrated to describe secondary substation load profiles adequately. Based on real measurements of some secondary substations (medium-voltage to low-voltage interface) given by Unareti, the DSO of Milan, and georeferenced data gathered from open-source databases, unknown secondary substations load profiles are estimated. Three types of machine learning algorithms, regression tree, boosting, and random forest, as well as geographic information system (GIS) information, such as secondary substation locations, building area, types of occupants, etc., are considered to find the most effective approach.

scholarly journals Effects of Erratic and Epileptic Electric Power Supply in Nigerian Telecommunication Industry: Causes and Solutions

2019 ◽  
Vol 2 (2) ◽  
pp. 29-35
Author(s):  
C. Agbeboaye ◽  
F. O. Akpojedje ◽  
B. I. Ogbe
Keyword(s):  
Electric Power ◽  
Significant Role ◽  
Power Supply ◽  
Growth And Development ◽  
Distribution Network ◽  
Telecommunication Industry ◽  
Power Losses ◽  
Electric Power Supply

The issue of erratic and epileptic power supply in Nigeria Electricity Company is as old as the country itself. This is not unconnected to some factors such as: inadequate power generated in the national grid, electric power losses in the distribution network, government instability and unstable power reform policies, to mention but a few. The effects of erratic and epileptic power supply have been a major challenge to every sector in Nigeria especially the telecommunication industry. The telecommunication industry plays a significant role in the growth and development of every nation. Hence, this paper aims at critically investigating the causes and effects of erratic and epileptic electric power supply in Nigerian telecommunication industry. More so, the paper suggested and recommended ways to curb and enhance the current erratic and epileptic power situation in the country in order to boost the productivity of telecommunication industry and other sectors as well.

A warning indicator for distribution network to extreme weather events

2019 ◽  
Vol 29 (8) ◽  
Author(s):  
Masoud Sadeghi Khomami ◽  
Meghdad Tourandaz Kenari ◽  
Mohammad Sadegh Sepasian
Keyword(s):  
Distribution Network ◽  
Extreme Weather ◽  
Extreme Weather Events ◽  
Weather Events

Research on Application of Communication Technology in Distribution Grid

2013 ◽  
Vol 380-384 ◽  
pp. 3633-3636
Author(s):  
Xiao Hui Cheng ◽  
Zuo Xun Wang ◽  
Yi Liu
Keyword(s):  
Communication Network ◽  
Electric Power ◽  
Communication Technology ◽  
Distribution Network ◽  
System Structure ◽  
Distribution Grid ◽  
Technology Application ◽  
Communication Method ◽  
Smart Distribution Network ◽  
Research On Application

The distribution grid communication network is an important part of electric power communication system. But it has became a limit of distribution network for the absence of effective communication method. This paper first introduces the characteristic and information requirement of smart distribution network, then makes a deep research and comparison on the communication technology such as PONWireless Network and PLC. Finally it presents a technology application scheme and system structure of distribution communication network.

scholarly journals Smart Meter Traffic in a Real LV Distribution Network

Energies ◽  
2018 ◽  
Vol 11 (5) ◽  
pp. 1156 ◽  
Author(s):  
Nikoleta Andreadou ◽  
Evangelos Kotsakis ◽  
Marcelo Masera
Keyword(s):  
Distribution System ◽  
Low Voltage ◽  
Distribution Network ◽  
Distribution Networks ◽  
Smart Meter ◽  
Advanced Metering Infrastructure ◽  
Distribution Grid ◽  
Message Size ◽  
Real Distribution ◽  
Advanced Metering

The modernization of the distribution grid requires a huge amount of data to be transmitted and handled by the network. The deployment of Advanced Metering Infrastructure systems results in an increased traffic generated by smart meters. In this work, we examine the smart meter traffic that needs to be accommodated by a real distribution system. Parameters such as the message size and the message transmission frequency are examined and their effect on traffic is showed. Limitations of the system are presented, such as the buffer capacity needs and the maximum message size that can be communicated. For this scope, we have used the parameters of a real distribution network, based on a survey at which the European Distribution System Operators (DSOs) have participated. For the smart meter traffic, we have used two popular specifications, namely the G3-PLC–“G3 Power Line communication” and PRIME–acronym for “PoweRline Intelligent Metering Evolution”, to simulate the characteristics of a system that is widely used in practice. The results can be an insight for further development of the Information and Communication Technology (ICT) systems that control and monitor the Low Voltage (LV) distribution grid. The paper presents an analysis towards identifying the needs of distribution networks with respect to telecommunication data as well as the main parameters that can affect the Inverse Fast Fourier Transform (IFFT) system performance. Identifying such parameters is consequently beneficial to designing more efficient ICT systems for Advanced Metering Infrastructure.

The Influence of External Climate Environment on Safe Operation of Power System

2014 ◽  
Vol 521 ◽  
pp. 423-428
Author(s):  
Ling Ling Pan ◽  
Feng Li ◽  
Sheng Chun Yang ◽  
Shu Hai Feng ◽  
Yong Wang
Keyword(s):  
Climate Change ◽  
Power System ◽  
Electric Power ◽  
Global Climate Change ◽  
Global Climate ◽  
Electric Power Industry ◽  
Power Industry ◽  
Extreme Weather ◽  
Extreme Weather Events ◽  
Weather Events

Frequency and severity of some extreme weather events are increasing, and weather can impact the power system and its components in a number of ways. This paper identifies key technical issues facing the electric power industry, related to global climate change. The technical challenges arise from: 1) impacts on supply and demand balance; 2) impacts on system operating strategies, and power generation scheduling; 3) impacts on power grid structure, and power infrastructure response to extreme weather events; and 4) impacts on operation parameters of power system. The objective of this paper is to facilitate continued discussion of power systemclimate change interactions. To this end, this paper identifies key issues relating to the interactions between the electric power industry and global climate change. These issues will not be resolved quickly, and it requires sustained attention if they are to be resolved successfully.

scholarly journals Optimal Placement and Sizing of Distributed Generation in Distribution System using Analytical Method

2019 ◽  
Vol 8 (4) ◽  
pp. 6357-6363
Keyword(s):  
Distributed Generation ◽  
Distribution System ◽  
Power Loss ◽  
Distribution Network ◽  
Optimal Placement ◽  
Small Scale ◽  
Voltage Profile ◽  
Distribution Grid ◽  
Step Size ◽  
System Power

The reliability of distribution network can be improved with the penetration of small scale distributed generation (DG) unit to the distribution grid. Nevertheless, the location and sizing of the DG in the distribution network have always become a topic of debate. This problem arises as different capacity of DG at various location can affect the performance of the entire system. The main objective of this study is to recommend a suitable size of DG to be placed at the most appropriate location for better voltage profile and minimum power loss. Therefore, this paper presents an analytical approach with a fixed DG step size of 500 kW up to 4500 kW DG to analyses the effect of a single P-type DG in IEEE 33 bus system with consideration of system power loss and voltage profile. Four scenarios have been selected for discussions where Scenario 1: 3500 kW DG placed at node 3; Scenario 2: 2500 kW DG placed at node 6; Scenario 3: 1000 kW DG placed at node 18 and Scenario 4: 3000 kW DG placed at node 7. Results show that all the four scenarios are able to reduce the power loss and improve the voltage profile however Scenario 4 has better performance where it complies with minimum voltage requirement and minimizing the system power loss.

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