scholarly journals Reliability Enhancement of Electric Distribution Network Using Optimal Placement of Distributed Generation

2021 ◽  
Vol 13 (20) ◽  
pp. 11407
Author(s):  
Sanaullah Ahmad ◽  
Azzam ul Asar
Keyword(s):  
Power Systems ◽  
Distributed Generation ◽  
System Reliability ◽  
Distribution System ◽  
Energy Demand ◽  
Distribution Network ◽  
Optimal Location ◽  
Computational Time ◽  
Actual Distribution ◽  
Distribution System Reliability

As energy demand is increasing, power systems’ complexities are also increasing. With growing energy demand, new ways and techniques are formulated by researchers to increase the efficiency and reliability of power systems. A distribution system, which is one of the most important entities in a power system, contributes up to 90% of reliability problems. For a sustainable supply of power to customers, the distribution system reliability must be enhanced. Distributed generation (DG) is a new way to improve distribution system reliability by bringing generation nearer to the load centers. Artificial intelligence (AI) is an area in which much innovation and research is going on. Different scientific areas are utilizing AI techniques to enhance system performance and reliability. This work aims to apply DG as a distributed source in a distribution system to evaluate its impacts on reliability. The location of the DG is a design criteria problem that has a relevant effect on the reliability of the distribution system. As the distance of load centers from the feeder increases, outage durations also increase. The reliability was enhanced, as the SAIFI value was reduced by almost 40%, the SAIDI value by 25%, and the EENS value by 25% after injecting DG into the distribution network. The artificial neural network (ANN) technique was utilized to find the optimal location of the DG; the results were validated by installing DG at prescribed localities. The results showed that the injection of DG at proper locations enhances the reliability of a distribution system. The proposed approach was applied to thte Roy Billinton Test System (RBTS). The implementation of the ANN technique is a unique approach to the selection of a location for a DG unit, which confirms that applying this computational technique could decrease human errors that are associated with the hit and trial methods and could also decrease the computational complexities and computational time. This research can assist distribution companies in determining the reliability of an actual distribution system for planning and expansion purposes, as well as in injecting a DG at the most optimal location in order to enhance the distribution system reliability.

scholarly journals Evaluation of Distributed Generation Impact on Reliability of a Distribution System using DIg SILENT Power Factory

2020 ◽  
Vol 9 (10) ◽  
pp. 381-389
Keyword(s):  
Distributed Generation ◽  
System Reliability ◽  
Distribution System ◽  
Distribution Systems ◽  
Distribution Network ◽  
Simulation Method ◽  
Green Energy ◽  
Reliability Indices ◽  
Distribution System Reliability ◽  
The Impact

As an effective supplement to the centralized fossil fuel based traditional generation, Distributed Generation (DG) has become an effective alternative choice and has been rapidly increasing since past few years due to growing demand for electricity and the new policies of governing bodies for usage of green energy. In overall power system, distribution systems are more vulnerable to faults and reliability aspects of such systems becomes an important issue. With higher penetration of DG into the distribution network, it will be necessary to study the impact of such generation on the various aspects of distribution system. Thus, increase in rate of penetration DGs into the distribution system on one side and increased faults in distribution network on another side, will make the study of impact of DG integration on distribution system reliability an interesting topic of research. The present work focuses on evaluation of impacts of integration of such DGs on reliability of local distribution network, typically in an urban scenario By using the simulation method using DIgSILENT PowerFactory software, the impacts of integration of DG in terms of enhancement in distribution system reliability indices and reduction in system losses for different scenarios are studied and presented in this paper. Based on the simulation results obtained and after analysis of the distribution system, overall results are summarized by focusing on the installation of suitable capacity of DG and the location of DG which are important factors affecting the system losses and system reliability indices.

scholarly journals Customer Scattering Effect on Distribution System Reliability

2020 ◽  
Vol 8 (6) ◽  
pp. 5256-5259
Keyword(s):  
Reliability Analysis ◽  
Distributed Generation ◽  
System Reliability ◽  
Distribution System ◽  
Optimum Location ◽  
Radial System ◽  
Scattering Effect ◽  
System Reliability Analysis ◽  
Distribution System Reliability

This paper presents the customer scattering effect on distribution system reliability with Distributed Generation. In this, radial system with thirteen load points is considered and analyzed for six patterns of customer variation. The performance is observed with DG and without DG at different points along the feeder and analyzed customer scattering effect for optimum location of DG in terms of system reliability. Analysis determines the optimum DG location for improvement of system reliability varies with the customer scattering patterns.

scholarly journals Improvement of the Voltage Profile and Loss Reduction in Distribution Network Using Moth Flame Algorithm: Wolaita Sodo, Ethiopia

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
S. Balakumar ◽  
Akililu Getahun ◽  
Samuel Kefale ◽  
K. Ramash Kumar
Keyword(s):  
Power Systems ◽  
Distribution System ◽  
Voltage Stability ◽  
Distribution Network ◽  
Test System ◽  
Computational Time ◽  
Voltage Profile ◽  
Voltage Deviation ◽  
Current Scenario ◽  
Wolaita Sodo

Voltage stability and line losses are inevitable issues even in modern power systems. There are several techniques that emerged to solve problems in the power system to provide quality and uninterrupted supply to customers. The algorithms used in this paper to determine the appropriate location and size of the Static Var Compensator (SVC) in the Distribution Network (DN) are Moth Flame Optimization (MFO) and Particle Swarm Optimization (PSO). The objective function is defined to minimize voltage deviation and power loss. The burning problem of voltage stability improvement current scenario is because of a rise in electricity demands in all sectors. Paramount duties of power engineers are to keep the system stable and maintain voltage magnitude constant even during peak hours. The results were checked with the aid of MATLAB on Wolaita Sodo radial distribution of 34 bus data networks. The potential use of SVC is key to solve distribution system power quality issues and estimating the advantage of the installation. The results obtained from the test system were compared with PSO results. This comparison was done to know the computational time of proposed techniques. The performance of the MFA based SVC was superior in distribution system and highlighted the importance of device.

scholarly journals Distributed Generation Impact on Distribution System Reliability

2021 ◽  
Vol 10 (3) ◽  
pp. 193-200
Author(s):  
K. RAJU ◽  
P. Mercy hepciba rani ◽  
J. Prashanthi
Keyword(s):  
Power System ◽  
Distributed Generation ◽  
System Reliability ◽  
Distribution System ◽  
Reliability Indices ◽  
Electric Distribution System ◽  
Distribution System Planning ◽  
Distribution System Reliability ◽  
Extreme Scale ◽  
System Average

Reliability is the most important factor of distribution system and this system should be operated economically with low customer loads interruption. This is because that the distribution system gives supply to customers from transmission system. There are some power quality issues due to the failures of components in distribution system. Researchers are going on to assess the reliability of the power system. In the power system, reliability evaluation is an important aspect in complete electric distribution system planning and operation. Due to the extreme scale of problem, it is not possible to conduct reliability on complete power system, it is performed independently. Hence, In this paper, the reliability of distribution system is evaluated by using an analytical method is described and is applied to the IEEE RBTS BUS-6. Development of reliability model of distribution system using Electrical Transient Analyzer Program (ETAP) software is developed. And the Distributed Generation is introduced for the improvement of reliability. Reliability indices are such as System Average Interruption Frequency Indices (SAIFI), System Average Interruption Duration Indices (SAIDI), Customer Average Interruption Frequency Indices (CAIFI), Customer Average Interruption Duration Indices (CAIDI), Energy Not Supplied (ENS), Average Service Availability Indices (ASAI), etc. The performance of reliability of the system is shown by these indices

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