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 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 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.

Study on Large-Scale Distributed Power Access to Distribution Networks for the Impact of the Loss in the Power

2014 ◽  
Vol 960-961 ◽  
pp. 1077-1080 ◽  
Author(s):  
Bo Lun Wang
Keyword(s):  
Power Distribution ◽  
Large Scale ◽  
Reactive Power ◽  
Distribution Network ◽  
Distribution Networks ◽  
Active Power ◽  
Induction Generator ◽  
Network Access ◽  
Power Distribution Network ◽  
The Impact

Near the load of distribution network access distributed networks, the entire distribution network load distribution will change, system trend then change, then the trend of the distribution network can also be changed from the original "one-way flow" to "two-way flow". For synchronous generator connected to the power distribution network, the input active power and reactive power at the same time to the system, can reduce the loss and the voltage distribution network can play a supporting role, but for asynchronous induction generator connected to the power distribution network, the input to the system active power and reactive power absorption, reduce the power factor of the grid. By trend analysis found that introducing asynchronous induction generator to increase distribution network loss, deterioration in transmission line voltage level. Distributed generators after introducing the distribution network could reduce may also increase the system network loss.

scholarly journals Research on Forecasting Method of Distribution Network Investment Scale of Municipal Power Supply Enterprise Considering Power Supply Division and Cost Difference Level

2021 ◽  
Vol 245 ◽  
pp. 01032
Author(s):  
Gou Quanfeng ◽  
Yang Jie ◽  
Zhou Fei ◽  
Hu Lin ◽  
Yu Guangxiu ◽  
...  
Keyword(s):  
Power Supply ◽  
Large Scale ◽  
Distribution Network ◽  
Forecast Model ◽  
Distribution Networks ◽  
Lean Management ◽  
Investment Planning ◽  
Management Level ◽  
Network Investment ◽  
The Impact

In recent years, in order to adapt to the situation of rapid economic and social development, my country’s power supply companies have invested large-scale funds to build distribution networks, and upgraded urban and rural power grids, effectively supporting the rapid growth of power demand and the reliability of power supply. Continuous improvement of power quality. While the scale of investment in the distribution network continues to remain high, problems such as focusing on investment and neglecting revenue, focusing on project establishment and neglecting management also exist to varying degrees. Therefore, reasonably predicting the scale of investment in the distribution network and improving the lean management level of the investment and construction of the distribution network have become key issues that power supply companies need to solve. This paper takes my country’s municipal power supply companies as the research object, combines the actual business development of the company’s distribution network investment planning, and fully considers the impact of the company’s power supply district management and the level of cost differences on the investment scale of the distribution network, and builds a fit on this basis. The distribution network investment planning forecast model of the actual business work of the enterprise guides the municipal power supply enterprises to improve the lean management level of the distribution network investment and construction.

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 Evaluating the Potential of Hosting Capacity Enhancement Using Integrated Grid Planning modeling Methods

Energies ◽  
2019 ◽  
Vol 12 (19) ◽  
pp. 3610 ◽  
Author(s):  
Syahrul Nizam Md Saad ◽  
Adriaan Hendrik van der Weijde
Keyword(s):  
Large Scale ◽  
Distribution Network ◽  
Distribution Networks ◽  
Generation Expansion Planning ◽  
Battery Storage ◽  
Expansion Planning ◽  
Network Constraints ◽  
Generation Expansion ◽  
Transmission Expansion ◽  
The Impact

Connection of a significant amount of distributed generation, such as solar photovoltaic (PV) capacity, may lead to problems in distribution networks due to violations of distribution network hosting capacity (HC) limits. HC enhancement techniques, such as energy storage, could increase the allowable PV penetration level in the distribution network, reducing the need for transmission and large-scale generation expansion. However, current approaches for transmission and generation expansion planning do not account for distribution network HC limits. As a consequence, it is hard to quantify the impact and benefits of HC enhancement in the context of long-term grid expansion planning. This paper presents a novel integrated planning approach, combining a two-stage transmission and generation expansion planning model with a distribution network hosting capacity assessment, which allows for inclusion of detailed distribution network constraints We test this method on a stylized representation of the Malaysian grid. Our results show that distribution constraints have a significant impact on optimal transmission expansion plans and significantly increase overall system costs. HC enhancement in the form of battery storage does not significantly mitigate this but does lead to a cost decrease regardless of distribution network constraints. We also show how our approach can identify the key interactions between transmission and distribution networks in systems with high levels of renewable and storage technologies. In particular, HC enhancement with battery storage can act as a substitute or complement to line investment, depending on the renewable energy penetration, the storage location and the level of coordination in the network.

The Impact on the Voltage Fluctuation of Wind Power Integrated Separately in Chongqing Distribution Network

2013 ◽  
Vol 385-386 ◽  
pp. 1053-1058
Author(s):  
Hui Peng ◽  
Sheng Fang Li ◽  
Ya Jun Li ◽  
Yuan Yuan Li ◽  
Jian Ding ◽  
...  
Keyword(s):  
Wind Power ◽  
Large Scale ◽  
Wind Farm ◽  
Distribution Network ◽  
Wind Farms ◽  
Distribution Networks ◽  
National Standards ◽  
Voltage Fluctuation ◽  
Access Mode ◽  
The Impact

Recently, the development of Chinese wind power generation has formally entered the strategic transformation stage with the combination of large-scale integrated exploitation and distributed access exploitation. It is suitable to adopt distribution access mode due to the characteristics of Chongqings planning wind farm including small generation capacity and distributed location. However, considering that most of planning wind farms are located in the mountain area of northeast and southeast Chongqing with the large-scale geographic area and small load request and the distribution networks are relatively weak, there may be remarkable effect on quality of electric energy even though the distribution access mode is adopted. In this paper, aiming at the voltage fluctuation of access point, the relationships among variables affecting the voltage fluctuation is analyzed, then taking two planning wind farms in northeast and southeast Chongqing respectively as examples, the effects of voltage fluctuation caused by different access points are calculated and analyzed in order to get the allowed maximum capacity of wind farms fitting national standards. In the end, the proposals relevant to the development of wind power and contribution of distribution network are submitted according to the case results.

scholarly journals Increasing Electric Vehicle Penetration Using Smart Switching and Emergency Uprating

2021 ◽  
Vol 9 ◽  
Author(s):  
Shuran Liu ◽  
Meng Cheng ◽  
Qinhao Xing ◽  
Yizhe Jiang ◽  
Qianliang Xiang ◽  
...  
Keyword(s):  
Network Performance ◽  
Negative Impact ◽  
Network Reliability ◽  
Distribution Network ◽  
Distribution Networks ◽  
Test System ◽  
Evaluation Framework ◽  
Reliability Performance ◽  
The Impact

One of the key challenges facing distribution network operators today is the expected increase in electric vehicles. The increased load from EV charging will result in distribution assets becoming “thermally overloaded” due to higher operating temperatures. In addition to the issue of increased load, we have a limited understanding of the behavior and performance of the distribution assets and their potential to accept the increased load. It has been well acknowledged that EVs increase the network loading level, leading to a reduced system reliability performance. These results have not been quantified in a realistic case study, including actual cable rating and design properties. To address this gap, this paper proposes a novel methodology in the existing power network reliability evaluation framework, which quantifies the impact of different EV penetration levels on distribution network reliability, and the thermal performance of distribution cables. Novel approaches using smart switching technology and emergency uprating are proposed to reduce the peak power demand caused by EVs, in order to reinforce the reliability of the grid and to boost the maximum allowable EV penetration in the distribution networks. The methodology was applied using a case study on the modified EV-integrated RBTS (Roy Billinton Test System) bus four distribution network. The results showed that the negative impact of EVs on network performance can be mitigated by the implementation of smart switching technology. The peak demand under contingencies can also be accepted by the cables though emergency uprating. The frequency and duration of EV demand interruption was also significantly reduced. Thus, a higher EV penetration can be accommodated.

scholarly journals Real Fault Location in a Distribution Network Using Smart Feeder Meter Data

Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3242
Author(s):  
Hamid Mirshekali ◽  
Rahman Dashti ◽  
Karsten Handrup ◽  
Hamid Reza Shaker
Keyword(s):  
Fault Location ◽  
Network Reliability ◽  
Distribution Network ◽  
Estimation Method ◽  
Electrical Energy ◽  
Distribution Networks ◽  
Active Power ◽  
Financial Loss ◽  
Smart Meters ◽  
The Real

Distribution networks transmit electrical energy from an upstream network to customers. Undesirable circumstances such as faults in the distribution networks can cause hazardous conditions, equipment failure, and power outages. Therefore, to avoid financial loss, to maintain customer satisfaction, and network reliability, it is vital to restore the network as fast as possible. In this paper, a new fault location (FL) algorithm that uses the recorded data of smart meters (SMs) and smart feeder meters (SFMs) to locate the actual point of fault, is introduced. The method does not require high-resolution measurements, which is among the main advantages of the method. An impedance-based technique is utilized to detect all possible FL candidates in the distribution network. After the fault occurrence, the protection relay sends a signal to all SFMs, to collect the recorded active power of all connected lines after the fault. The higher value of active power represents the real faulty section due to the high-fault current. The effectiveness of the proposed method was investigated on an IEEE 11-node test feeder in MATLAB SIMULINK 2020b, under several situations, such as different fault resistances, distances, inception angles, and types. In some cases, the algorithm found two or three candidates for FL. In these cases, the section estimation helped to identify the real fault among all candidates. Section estimation method performs well for all simulated cases. The results showed that the proposed method was accurate and was able to precisely detect the real faulty section. To experimentally evaluate the proposed method’s powerfulness, a laboratory test and its simulation were carried out. The algorithm was precisely able to distinguish the real faulty section among all candidates in the experiment. The results revealed the robustness and effectiveness of the proposed method.

scholarly journals Investigation of the Impact of Large-Scale Integration of Electric Vehicles for a Swedish Distribution Network

Energies ◽  
2019 ◽  
Vol 12 (24) ◽  
pp. 4717 ◽  
Author(s):  
Sylvester Johansson ◽  
Jonas Persson ◽  
Stavros Lazarou ◽  
Andreas Theocharis
Keyword(s):  
Electric Vehicles ◽  
Power Distribution ◽  
Large Scale ◽  
Electrical Power ◽  
Distribution Network ◽  
Transport Sector ◽  
Smart Charging ◽  
Large Scale Integration ◽  
Scale Integration ◽  
The Impact

Social considerations for a sustainable future lead to market demands for electromobility. Hence, electrical power distribution operators are concerned about the real ongoing problem of the electrification of the transport sector. In this regard, the paper aims to investigate the large-scale integration of electric vehicles in a Swedish distribution network. To this end, the integration pattern is taken into consideration as appears in the literature for other countries and applies to the Swedish culture. Moreover, different charging power levels including smart charging techniques are examined for several percentages of electric vehicles penetration. Industrial simulation tools proven for their accuracy are used for the study. The results indicate that the grid can manage about 50% electric vehicles penetration at its current capacity. This percentage decreases when higher charging power levels apply, while the transformers appear overloaded in many cases. The investigation of alternatives to increase the grid’s capabilities reveal that smart techniques are comparable to the conventional re-dimension of the grid. At present, the increased integration of electric vehicles is manageable by implementing a combination of smart gird and upgrade investments in comparison to technically expensive alternatives based on grid digitalization and algorithms that need to be further confirmed for their reliability for power sharing and energy management.

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