Reliability Evaluation of Distribution Networks Including Micro-Grid Considering Time-Varying Failure Rate

2014 ◽  
Vol 536-537 ◽  
pp. 1570-1577
Author(s):  
Jiang Ping Zou ◽  
Bi De Zhang ◽  
Xiao Zhou Ling ◽  
Jun Deng ◽  
Di He ◽  
...  
Keyword(s):  
Failure Rate ◽  
Sequential Monte Carlo ◽  
Network Reliability ◽  
Distribution Networks ◽  
Reliability Evaluation ◽  
Time Varying ◽  
Operation Condition ◽  
Reliability Indices ◽  
Micro Grid ◽  
The Impact

To analyze the impact of components operating environment and micro-grid on the distribution network reliability evaluation, the characteristics of components failure rate changes with operation condition are researched, and the full life cycle of the time-varying failure rate model of non-power components is built; reliability model for co-generation of hybrid, photovoltaic and energy storage system is introduced, as the power output of photovoltaic and hybrid generation is stochastic; the reliability of modified IEEE RBTS is evaluated by the built model and sequential Monte Carlo simulation method after load failure effect table is established by the reachability analysis method, the application of the proposed method to calculation example verifies its effectiveness by comparing and analyzing the reliability indices in different situations.

scholarly journals Stochastic Planning and Operational Constraint Assessment of System-Customer Power Supply Risks in Electricity Distribution Networks

2021 ◽  
Vol 13 (17) ◽  
pp. 9579
Author(s):  
Mikka Kisuule ◽  
Ignacio Hernando-Gil ◽  
Jonathan Serugunda ◽  
Jane Namaganda-Kiyimba ◽  
Mike Brian Ndawula
Keyword(s):  
Sequential Monte Carlo ◽  
Network Reliability ◽  
Distribution Network ◽  
Integrated Approach ◽  
Distribution Networks ◽  
Test System ◽  
Electricity Distribution ◽  
Reliability Indices ◽  
Operational Constraints ◽  
The Impact

Electricity-distribution network operators face several operational constraints in the provision of safe and reliable power given that investments for network area reinforcement must be commensurate with improvements in network reliability. This paper provides an integrated approach for assessing the impact of different operational constraints on distribution-network reliability by incorporating component lifetime models, time-varying component failure rates, as well as the monetary cost of customer interruptions in an all-inclusive probabilistic methodology that applies a time-sequential Monte Carlo simulation. A test distribution network based on the Roy Billinton test system was modelled to investigate the system performance when overloading limits are exceeded as well as when preventive maintenance is performed. Standard reliability indices measuring the frequency and duration of interruptions and the energy not supplied were complemented with a novel monetary reliability index. The comprehensive assessment includes not only average indices but also their probability distributions to adequately describe the risk of customer interruptions. Results demonstrate the effectiveness of this holistic approach, as the impacts of operational decisions are assessed from both reliability and monetary perspectives. This informs network planning decisions through optimum investments and consideration of customer outage costs.

scholarly journals Stochastic Planning and Operational Constraint Assessment of System-Customer Power Supply Risks in Electricity Distribution Networks

2021 ◽  
Author(s):  
Mikka Kisuule ◽  
Ignacio Hernando-Gil ◽  
Jonathan Serugunda ◽  
Jane Namaganda-Kiyimba ◽  
Mike Brian Ndawula
Keyword(s):  
Sequential Monte Carlo ◽  
Network Reliability ◽  
Distribution Network ◽  
Integrated Approach ◽  
Distribution Networks ◽  
Test System ◽  
Electricity Distribution ◽  
Reliability Indices ◽  
Operational Constraints ◽  
The Impact

Electricity distribution network operators face several operational constraints in the provision of safe and reliable power given that investments for network area reinforcement must be commensurate with improvements in network reliability. This paper provides an integrated approach for assessing the impact of different operational constraints on distribution network reliability by incorporating component lifetime models, time-varying component failure rates as well as the monetary cost of customer interruptions in an all-inclusive probabilistic methodology that applies a time-sequential Monte Carlo simulation. A test distribution network based on the Roy Billinton test system is modelled to investigate the system performance when overloading limits are exceeded as well as when preventive maintenance is performed. Standard reliability indices measuring the frequency and duration of interruptions, and the energy not supplied are complemented with a novel monetary reliability index. The comprehensive assessment includes not only average indices but also their probability distributions to adequately describe the risk of customer interruptions. Results demonstrate the effectiveness of this holistic approach as the impacts of operational decisions are assessed from both reliability and monetary perspectives. This informs network planning decisions through optimum investments and consideration of customer outage costs.

scholarly journals Reliability Assessment of Distribution Networks with Optimal Coordination of Distributed Generation, Energy Storage and Demand Management

Energies ◽  
2019 ◽  
Vol 12 (16) ◽  
pp. 3202
Author(s):  
Alberto Escalera ◽  
Edgardo D. Castronuovo ◽  
Milan Prodanović ◽  
Javier Roldán-Pérez
Keyword(s):  
Energy Storage ◽  
Distribution Systems ◽  
Network Reliability ◽  
Demand Management ◽  
Reliability Assessment ◽  
Distribution Networks ◽  
Reliability Indices ◽  
Optimal Coordination ◽  
Management Techniques ◽  
The Impact

Modern power distribution networks assume the connection of Distributed Generators (DGs) and energy storage systems as well as the application of advanced demand management techniques. After a network fault these technologies and techniques can contribute individually to the supply restoration of the interrupted areas and help improve the network reliability. However, the optimal coordination of control actions between these resources will lead to their most efficient use, maximizing the network reliability improvement. Until now, the effect of such networks with optimal coordination has not been considered in reliability studies. In this paper, DGs, energy storage and demand management techniques are jointly modelled and evaluated for reliability assessment. A novel methodology is proposed for the calculation of the reliability indices. It evaluates the optimal coordination of energy storage and demand management in order to reduce the energy-not-supplied during outages. The formulation proposed for the calculation of the reliability indices (including the modelling of optimal coordination) is described in detail. The methodology is applied to two distribution systems combining DGs, energy storage and demand management. Results demonstrate the capability of the proposed method to assess the reliability of such type of networks and emphasise the impact of the optimal coordination on reliability.

scholarly journals Probabilistic Techno-Economic Optimization in Medium Voltage Distribution Networks with Fault Passage Indicators and Fault Locators

2019 ◽  
Vol 22 (2) ◽  
pp. 80
Author(s):  
Predrag Mršić ◽  
Đorđe Lekić ◽  
Bojan Erceg ◽  
Čedomir Zeljković ◽  
Petar Matić ◽  
...  
Keyword(s):  
Sequential Monte Carlo ◽  
Network Reliability ◽  
Simulation Models ◽  
Distribution Networks ◽  
Optimization Method ◽  
Analytical Models ◽  
Economic Optimization ◽  
Reliability Indices ◽  
Medium Voltage ◽  
Minimum Number

Fault passage indicators (FPIs) and fault locators (FLs) are employed in modern distribution networks in order to enhance the process of fault localization, thus resulting in reduction of interruption time and improving the reliability of power supply. In this paper, a novel probabilistic techno-economic optimization method is proposed for determining the number and positions of FPIs that lead to maximum reduction of interruptiontime and investment costs in medium voltage (MV) distribution networks with and without FLs. The proposed method is basedon a probabilistic non-sequential Monte Carlo simulation model of the real network, which is a proper compromise between complicated sequential simulation models and too simplified analytical models. The main goal of the method is to obtain maximum improvement of the network reliability indices while using the minimum number of FPIs. The method is tested on a combinedurban/rural MV distribution network in Bosnia and Herzegovina and results are thoroughly discussed.

scholarly journals Impact of Photovoltaic Plant Outputs in Distribution Networks

2018 ◽  
Vol 225 ◽  
pp. 04024 ◽  
Author(s):  
Abid Ali Jamali ◽  
Nursyarizal Mohd Nor ◽  
Taib Ibrahim ◽  
Mohd Fakhizan Romlie ◽  
Zahid Khan
Keyword(s):  
Low Voltage ◽  
Distribution Networks ◽  
Weather Data ◽  
Time Varying ◽  
Solar Pv ◽  
Farm Life ◽  
Plant Yields ◽  
Module Efficiency ◽  
Photovoltaic Plant ◽  
The Impact

This paper evaluates the potential of Quaid-e-Azam Solar Park (QASP), Pakistan and examines its impact on distribution networks. To estimate the PV plant yields, solar park’s historical hourly weather data from the years 2000 - 2014 is used. For handling of such huge data, the yearly data is partitioned into four seasons. Further, the seasonal data is modelled by using Beta Probability Density Function (PDF) and a 24 hour solar curve for each season is generated. The solar farm power outputs are tested in IEEE 33 bus distribution network by using time-varying seasonal hourly loads, meanwhile system losses and bus voltages are calculated. The results show that with the passage of time, the impact of solar PV power on reduction of system losses gradually decrease due to yearly degradation of PV module efficiency. System losses at end of PV farm life are 10 - 12% higher than those losses as in the first year. Furthermore, low voltage buses also pose to risk as system voltages also start to decrease. From the analysis, it is suggested that for maintaining the quality of network, time varying detailed assessments should be performed during the calculations of sizing of distributed generation.

A Practical GIS-Based Reliability Estimation System for Large Scale Distribution Network

2012 ◽  
Vol 433-440 ◽  
pp. 1802-1810 ◽  
Author(s):  
Lin Guan ◽  
Hao Hao Wang ◽  
Sheng Min Qiu
Keyword(s):  
Data Storage ◽  
Large Scale ◽  
Network Reliability ◽  
Distribution Network ◽  
Reliability Assessment ◽  
Distribution Networks ◽  
Reliability Estimation ◽  
Assessment Model ◽  
Estimation System ◽  
The Impact

A new algorithm as well as the software design for large-scale distribution network reliability assessment is proposed in this paper. The algorithm, based on fault traversal algorithm, obtains network information from the GIS. The structure of distribution network data storage formats is described, facilitating automatic output of the feeders’ topological and corresponding information from the GIS. Also the judgment of load transfer is discussed and the method for reliability assessment introduced in this paper. Moreover, The impact of the scheduled outage is taken into account in the assessment model, making the results more in accordance with the actual situation. Test Cases show that the proposed method features good accuracy and effectiveness when applied to the reliability assessment of large-scale distribution networks.

scholarly journals Analysis of Network Reliability Characteristics and Importance of Components in a Communication Network

Mathematics ◽  
2021 ◽  
Vol 9 (12) ◽  
pp. 1347
Author(s):  
Soni Bisht ◽  
Akshay Kumar ◽  
Nupur Goyal ◽  
Mangey Ram ◽  
Yury Klochkov
Keyword(s):  
Communication Network ◽  
Growth Factor ◽  
Network Reliability ◽  
Importance Measure ◽  
Average Risk ◽  
Reliability Indices ◽  
Reliability Characteristics ◽  
Critical Components ◽  
Component Failures ◽  
The Impact

Network reliability is one of the most important concepts in this modern era. Reliability characteristics, component significance measures, such as the Birnbaum importance measure, critical importance measure, the risk growth factor and average risk growth factor, and network reliability stability of the communication network system have been discussed in this paper to identify the critical components in the network, and also to quantify the impact of component failures. The study also proposes an efficient algorithm to compute the reliability indices of the network. The authors explore how the universal generating function can work to solve the problems related to the network using the exponentially distributed failure rate. To illustrate the proposed algorithm, a numerical example has been taken.

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