Impact of System Average Interruption Duration Index Threshold on the Reliability Assessment of Electrical Power Distribution Systems

2018 ◽  
Vol 6 (2) ◽  
pp. 17-31
Author(s):  
Ganiyu Adedayo Ajenikoko ◽  
Ridwan Abiola Oladepo
Keyword(s):  
Power Distribution ◽  
Distribution System ◽  
Distribution Systems ◽  
Electrical Power ◽  
Reliability Assessment ◽  
Research Paper ◽  
Threshold Values ◽  
The Impact ◽  
Number Of Customers ◽  
System Average

System Average Interruption Duration Index (SAIDI) is one of the parametric indices used for assessment of the performance of electrical power network. It is the ratio of customers’ interruption duration to the total number of customers served. SAIDI threshold is used to determine the calendar days upon which either the system design limits or operational limits are exceeded. This research paper presents the impact of SAIDI threshold on the reliability assessment of electrical power distribution system. Data were collected from ten selected feeders of Ibadan distribution system for a period of five years. The daily SAIDI, natural logarithm of SAIDI, the log-average of SAIDI and the standard derivation of the logarithm of SAIDI were used as input parameters in the development of SAIDI threshold model. The result of the research paper shows that the SAIDI threshold values fluctuate over the years with the least and highest SAIDI threshold values as 2.11596 and 4.62518 respectively which were recorded in the months of September and April. The SAIDI thresholds in the months of January, February, March, April, May and June are 3.18318, 3.32458, 4.22242, 4.62518, 2.71360 and 3.27760 respectively suggesting an indefinite pattern in the SAIDI threshold as a result of unexpected interruptions experienced by customers attached to the distribution feeders. SAIDI threshold forms a basis for power system planning and maintenance strategies.

scholarly journals Multilevel diode clamped D-Statcom for power quality improvement in distribution systems

2021 ◽  
Vol 12 (1) ◽  
pp. 217
Author(s):  
Jasti Venkata Ramesh Babu ◽  
Malligunta Kiran Kumar
Keyword(s):  
Power Quality ◽  
Power Distribution ◽  
Distribution System ◽  
Distribution Systems ◽  
Electrical Power ◽  
Reference Signal ◽  
Power Distribution System ◽  
Received Power ◽  
Multi Level ◽  
Result Analysis

Power quality is one big issue in power system and a big challenge for power engineers today. Electrical consumers (or otherwise load devices) expect electrical power received power should be of first-class. Bad quality in electrical power directs to fuse blowing, machine overheating, increase in distribution losses, damage to sensitive load devices and many more. DSTATCOM is one of the FACTS controllers designed to improve the quality in electrical power and thus improving the performance of distribution system. This paper presents a multilevel DSTATCOM topology to enhance power quality in power distribution system delivering high-quality power to the customer load devices. Diode-clamped structure is employed for multi-level DSTATCOM structure. ‘PQ’ based control strategy generates reference signal which is further processed through level-shifted multi-carrier PWM strategy for the generation of gate pulses to multi-level DSTATCOM structure. Simulation work of proposed system is developed and the result analysis is presented using MATLAB/SIMULINK software. Performance of multi-level DSTATCOM topology is verified with fixed and variable loads.

scholarly journals Development of analysis methods for ensuring the reliability of gas distribution systems in the problems of complex energy supply

2019 ◽  
Vol 102 ◽  
pp. 02005
Author(s):  
Nikolay I. Ilkevich ◽  
Tatyana.V. Dzyubina ◽  
Zhanna.V. Kalinina
Keyword(s):  
Distribution System ◽  
Energy Supply ◽  
Distribution Systems ◽  
Reliability Assessment ◽  
Complex Energy ◽  
Gas Distribution ◽  
Recovery Rates ◽  
Main Pipelines ◽  
Linear Sections ◽  
The Impact

The paper deals with the issues devoted to reliability studies of gas distribution systems for complex energy supply of large industrialized areas. Given is a brief review of the reliability assessment methods, existing models for reliability assessment of the main pipelines, and their implementation. Special attention is paid to such reliability-specific properties as failure-free operation and maintainability of the elements constituting the gas distribution systems (linear sections and booster stations). These properties depend on the failure and recovery rates. Consideration is given to potentials of studying the impact of failure and recovery rates on integral indicators of gas distribution systems reliability. For that purpose mathematical models are proposed to be used for gas distribution systems reliability assessment using the analytical method of a ‘loss multiplication’ scheme. Reliability assessment of a conventional gas distribution system was taken as an example.

scholarly journals Simplified Method for Single Line to Ground-Fault Location in Electrical Power Distribution Systems

2015 ◽  
Vol 5 (2) ◽  
pp. 221
Author(s):  
Mustapha Zahri ◽  
Youssef Menchafou ◽  
Hassane El Markhi ◽  
Mohamed Habibi
Keyword(s):  
Power Distribution ◽  
Distribution System ◽  
Distribution Systems ◽  
Fault Location ◽  
Electrical Power ◽  
Modern Society ◽  
Single Line ◽  
Power Distribution Systems ◽  
Ground Fault

<p>Power distribution systems play important roles in modern society. When distribution system outages occur, speedy and precise fault location is crucial in accelerating system restoration, reducing outage time and significantly improving system reliability, and then improves the quality of services and customer satisfaction. In this paper, we propose a reduced algorithm utilizing the sum of sending-end currents of the three phases to calculate the fault current, and therefore, avoid the iterative aspect of the classic algorithm for single line to ground fault location and reduce its computational charge. The test results are obtained from the numerical simulation using the data of a distribution line recognized in the literature.</p>

scholarly journals Reliability Assessment of Coordinated Urban Transportation and Power Distribution Systems Considering the Impact of Charging Lots

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 30536-30547
Author(s):  
Chi Zhang ◽  
Xia Zhao ◽  
Mohammad Shahidehpour ◽  
Wenyuan Li ◽  
Lili Wen ◽  
...  
Keyword(s):  
Power Distribution ◽  
Distribution Systems ◽  
Urban Transportation ◽  
Reliability Assessment ◽  
Power Distribution Systems ◽  
The Impact

A New Digital Down Conductor Detection Scheme for Overhead Electrical Power Distribution Systems

2011 ◽  
Vol 12 (5) ◽  
Author(s):  
Bhavesh Bhalja ◽  
Pragnesh Shah ◽  
Balubhai Rakholia ◽  
Jignesh Shah
Keyword(s):  
Power Distribution ◽  
Distribution System ◽  
Distribution Systems ◽  
Electrical Power ◽  
Positive Sequence ◽  
Power Distribution Systems ◽  
Detection Scheme ◽  
Power Distribution System ◽  
Protection Devices ◽  
Negative Sequence Current

Detection of down conductor faults in an overhead electrical power distribution system is extremely difficult by the conventional over current protection devices. This paper presents a new digital down conductor detection scheme which is based on the combination (AND logic) of the ratio of the negative sequence current to the positive sequence current and the value of under current during an actual down conductor condition. Real time implementation of the proposed scheme has been carried out on an existing Indian 11 kV, 3 –Phase, 50 Hz power distribution system with the help of digital over current relay. At the end, a comparative evaluation of the proposed scheme with the scheme modeled in PSCAD/EMTDC software package is also presented. Both practical and simulation results indicate the effectiveness of the proposed scheme.

Energy Audit and Reliability Analysis of Afe Babalola University Power Distribution System

2020 ◽  
pp. 180-194
Author(s):  
Oladimeji Joseph Ayamolowo ◽  
Ayodeji Olalekan Salau
Keyword(s):  
Power Distribution ◽  
Distribution System ◽  
Distribution Systems ◽  
Reliability Assessment ◽  
Power Distribution Systems ◽  
Energy Audit ◽  
Reliability Indices ◽  
Distributed Generators ◽  
Distribution Process ◽  
The University

Energy audit and reliability assessment of distribution systems are important to keep track of power system's performance. It helps to minimize power interruptions to customers, boost industrialization, research, and economic development in any country or community. This chapter presents the reliability assessment of power distribution systems in Afe Babalola University, Ado-Ekiti, Nigeria. A critical assessment of the power distribution process was carried out with data obtained from the central Substation, taking into account various reliability indices. Furthermore, the load consumption of each substation was considered for the period of January to December, 2017. The results obtained show that the University attained a power availability (ASAI) of 0.99984 because of the presence of strategically placed distributed generators (DGs). The reliability assessment revealed SAIDI as 1.4347 hours/customer year, CAIDI as 0.6620 hours/customer interruption, ASUI as 0.00016, and SAIFI as 2.16712 failures/ customer year.

scholarly journals Stochastic Diffusion Process-based Multi-Level Monte Carlo for Predictive Reliability Assessment of Distribution System

2021 ◽  
Vol 7 (4) ◽  
pp. 87-102
Author(s):  
Manohar Potli ◽  
Chandrasekhar Reddy Atla
Keyword(s):  
Monte Carlo ◽  
Diffusion Process ◽  
Power Distribution ◽  
Execution Time ◽  
Distribution System ◽  
Distribution Systems ◽  
Convergence Rates ◽  
Reliability Assessment ◽  
Stochastic Diffusion ◽  
Multi Level

Reliability assessment of electrical distribution systems is an important criterion to determine system performance in terms of interruptions. Probabilistic assessment methods are usually used in reliability analysis to deal with uncertainties. These techniques require a longer execution time in order to account for uncertainty. Multi-Level Monte Carlo (MLMC) is an advanced Monte Carlo Simulation (MCS) approach to improve accuracy and reduce the execution time. This paper provides a systematic approach to model the static and dynamic uncertainties of Time to Failure (TTF) and Time to Repair (TTR) of power distribution components using a Stochastic Diffusion Process. Further, the Stochastic Diffusion Process is integrated into MLMC to estimate the impacts of uncertainties on reliability indices. The Euler Maruyama path discretization applied to evaluate the solution of the Stochastic Diffusion Process. The proposed Stochastic Diffusion Process-based MLMC method is integrated into a systematic failure identification technique to evaluate the distribution system reliability. The proposed method is validated with analytical and Sequential MCS methods for IEEE Roy Billinton Test Systems. Finally, the numerical results show the accuracy and fast convergence rates to handle uncertainties compared to Sequential MCS method.

scholarly journals IoT-Based Mobile Energy Storage Operation in Multi-MG Power Distribution Systems to Enhance System Resiliency

Energies ◽  
2022 ◽  
Vol 15 (1) ◽  
pp. 314
Author(s):  
Md Shahin Alam ◽  
Seyed Ali Arefifar
Keyword(s):  
Energy Storage ◽  
Power Distribution ◽  
Distribution System ◽  
Distribution Systems ◽  
Optimal Operation ◽  
Energy Resources ◽  
Operational Performance ◽  
Power Distribution Systems ◽  
Multi Stage ◽  
The Impact

Multi-microgrids have gained interest in academics and industry in recent years. Multi-microgrid (MG) allows the integration of different distributed energy resources (DERs), including intermittent renewables and controllable local generators, and provides a more flexible, reliable, and efficient power grid. This research formulates and proposes a solution for finding optimal location and operation of mobile energy storage (MES) in multi-MG power distribution systems (PDS) with different resources during extreme events to maximize system resiliency. For this purpose, a multi-stage event-based system resiliency index is defined and the impact of the Internet of things (IoT) application in MES operation in multi-MG systems is investigated. Moreover, the demand and price uncertainty impact on multi-MG operational performance indices is presented. This research uses a popular PG & E 69-bus multi-MG power distribution network for simulation and case studies. A new hybrid PSO-TS optimization algorithm is constructed for the simulations to better understand the contributions of MES units and different DERs and IoT on the operational aspects of a multi-MG system. The results obtained from the simulations illustrate that optimal operation of MES and other energy resources, along with the corresponding energy sharing strategies, significantly improves the distribution system operational performance.

OPTIMAL OFF POINT DETERMINATION IN ELECTRICAL POWER DISTRIBUTION SYSTEM USING RISK ASSESSMENT

2016 ◽  
Vol 78 (6-2) ◽  
Author(s):  
Ahmad Zaidi Abdullah ◽  
Noor Hasnizam Hanafi ◽  
Nurhafiza Azizan ◽  
Mohammad Harith Amlus
Keyword(s):  
Power Distribution ◽  
Distribution System ◽  
Distribution Systems ◽  
Electrical Power ◽  
Normal Operation ◽  
Risk Allocation ◽  
Power Distribution Systems ◽  
Power Distribution System ◽  
Efficiency Measures ◽  
Actual Field

In normal operation of distribution systems, protection systems are important for reliability and efficiency measures. For reliability enhancement of primary loop distribution systems, off points are normally located in midway between substations. Off point in networks allow the continued supply of electric to customer during faults as the feeder is separated into two sections, between two substations. Once a fault is cleared, then the faulted section can be reconfigured to accept supply from the unfaulted section. This is known as load restoration in network distribution system. Currently, off points are allocated using load flows and based on the engineer’s experience. However this method does not optimize the reliability to customers, as it does not take into account the risk allocation to customers. To overcome this, the research proposed a risk-based analysis, which can determine an optimal off point location. The analysis used a real network between PMU Kota Setar and PMU Kota Sarang Semut, Kedah, Malaysia. Actual field data from varying utilities were used for completion of this project. Six scenarios were developed to get a clear view of the total impact of risk with varying locations of off point. It is shown that the method proposed in this project gives a better indication for the optimal determination off point in electrical power distribution systems compared to the commonly used method.

scholarly journals Application of PSO for optimal coordination of directional over-current relays in distribution system with distributed renewable energy sources

2021 ◽  
Vol 10 (2) ◽  
pp. 188
Author(s):  
Lazhar Bougouffa ◽  
Abdelaziz Chaghi
Keyword(s):  
Renewable Energy ◽  
Power Distribution ◽  
Distribution System ◽  
Distribution Systems ◽  
Renewable Energy Sources ◽  
Electrical Power ◽  
Distribution Networks ◽  
Electrical Network ◽  
Energy Sources ◽  
Optimal Coordination

<p>The use of Distributed Renewable Energy Sources in the electrical network has expanded greatly. But, integration of these resources into distribution systems caused more problems in protection related issues such as mis-coordination, and changes the direction and value of fault currents. When connecting new D-RES to electrical power distribution networks, it is required to re-coordinate Directional Over-CurrentRelays (DOC-Relays) to ensure the continuity of the power transmission when the short circuits take place. This work presented a Particle Swarm Optimization (PSO) algorithm to determine two independent variables called Pickup current (Ip) and Time Dial Setting (TDS) for optimal setting of relays. From analysis result, the impacts of RES location in the distribution system on DOCRs had been observed on the optimal relays settings</p>

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