Optimal Placement of Distributed Generation in Power System for Power System Loss Reduction Using ETAP

2019 ◽  
Vol 16 ◽  
pp. 7-19 ◽  
Author(s):  
Suliman Khan ◽  
Salim Ur Rehman ◽  
Anees Ur Rehman ◽  
Hashmat Khan
Keyword(s):  
Power System ◽  
Distributed Generation ◽  
Renewable Energy Sources ◽  
Load Flow ◽  
Electric Power System ◽  
Optimization Techniques ◽  
Optimal Placement ◽  
Loss Reduction ◽  
Power Losses ◽  
Power Loss Reduction

Because of increasing interest in renewable energy sources in recent times, the studies concerning integration of Distributed Generation (DG) to power grid have been increased rapidly. Apart from other benefits, loss reduction and voltage profile improvement are its salient features. Non-optimal locations of DG units may lead to increase power losses. Optimal location of DGs in power systems is vital to maximize overall system efficiency. In this approach, optimization techniques have been applied to determine the optimal allocation and impact of DG on electric power system in terms of power loss reduction are analyzed. The Newton Raphson load flow analysis has been carried out on 10 bus system using ETAP software which shows that active power losses were reduced from 3302.2 KW to 400.7 KW after the installation of 5MW.

scholarly journals The Effect of Distributed Generator Injection with Different Numbers of Units on Power Quality in the Electric Power System

2021 ◽  
Vol 1 (2) ◽  
pp. 71
Author(s):  
Robi Kurniawan ◽  
Ardiansyah Nasution ◽  
Arnawan Hasibuan ◽  
Muzamir Isa ◽  
Muskan Gard ◽  
...  
Keyword(s):  
Power System ◽  
Electric Power ◽  
Distributed Generation ◽  
Reactive Power ◽  
Voltage Drop ◽  
Load Flow ◽  
Electric Power System ◽  
Total Loss ◽  
Electrical Network ◽  
Power Losses

Distributed Generation (DG) is a small capacity generator located in the electricity distribution system and is usually placed on buses that are connected directly to the load. Placement of distributed generation is one of the technical efforts to reduce voltage drop and power losses in the system. In addition, load flow analysis is a study to plan and determine the amount of power in an electric power system. The results of power losses after adding distributed generation were the best in the fifth experiment on bus 149, where the system experienced a total loss of active power (P) previously of 720,822 kW, to 682,939 kW and total loss of reactive power (Q) previously of 530.02 kVar, to 405.835 kVar. From the results of the calculation of the power flow using ETAP software (Electrical Transient Analyzer Program). So, it can be concluded that the electrical network system can be said to be good. The results obtained are the more DG (wind turbine generator) that is input into the bus it will reduce the voltage drop that occurs. After simulating the overall voltage drop, it still meets the standards according to the results of the Text Report on ETAP.

scholarly journals Optimal Placement and Sizing of an Energy Storage System Using a Power Sensitivity Analysis in a Practical Stand-Alone Microgrid

Electronics ◽  
2021 ◽  
Vol 10 (13) ◽  
pp. 1598
Author(s):  
Dongmin Kim ◽  
Kipo Yoon ◽  
Soo Hyoung Lee ◽  
Jung-Wook Park
Keyword(s):  
Sensitivity Analysis ◽  
Energy Storage ◽  
Power System ◽  
Renewable Energy Sources ◽  
Storage System ◽  
Energy Storage System ◽  
Optimization Techniques ◽  
Optimal Placement ◽  
Stable Operation ◽  
Analytical Approaches

The energy storage system (ESS) is developing into a very important element for the stable operation of power systems. An ESS is characterized by rapid control, free charging, and discharging. Because of these characteristics, it can efficiently respond to sudden events that affect the power system and can help to resolve congested lines caused by the excessive output of distributed generators (DGs) using renewable energy sources (RESs). In order to efficiently and economically install new ESSs in the power system, the following two factors must be considered: the optimal installation placements and the optimal sizes of ESSs. Many studies have explored the optimal installation placement and the sizing of ESSs by using analytical approaches, mathematical optimization techniques, and artificial intelligence. This paper presents an algorithm to determine the optimal installation placement and sizing of ESSs for a virtual multi-slack (VMS) operation based on a power sensitivity analysis in a stand-alone microgrid. Through the proposed algorithm, the optimal installation placement can be determined by a simple calculation based on a power sensitivity matrix, and the optimal sizing of the ESS for the determined placement can be obtained at the same time. The algorithm is verified through several case studies in a stand-alone microgrid based on practical power system data. The results of the proposed algorithm show that installing ESSs in the optimal placement could improve the voltage stability of the microgrid. The sizing of the newly installed ESS was also properly determined.

scholarly journals Optimal Placement and Optimal Combination of DTC, STATCOM and Line Reconfiguration to Minimize the Power Loss in Distribution Networks

2019 ◽  
Vol 8 (4) ◽  
pp. 11631-11636 ◽  
Keyword(s):  
Power Loss ◽  
Renewable Energy Sources ◽  
Distribution Networks ◽  
Optimal Combination ◽  
Optimal Placement ◽  
Loss Reduction ◽  
Power Loss Reduction ◽  
Network Operation ◽  
Time Variables ◽  
Simulation Package

Due to deregulation, exponential growth in the electricity demand, integration of renewable energy sources, lack of analytical computing facility and expansion of network increases the complexity with poor operation of the network. Existing analytical computing facility is failed to give efficient and accurate results for secure operation of the distribution network. Many researchers are working to give potential solution to improve the performance of network operation considering the real time variables. In this paper minimization of power loss is chosen as objective function. Considering the network parameters the optimal placements with different combination of DTC, STATCOM and line reconfiguration are tested on IEEE-15 bus system using MiPower simulation package. The obtained result shows more than 50% power loss reduction, which leads to efficient and stress free operation of the distribution networks.

scholarly journals Loss Minimization of Power Distribution Network using Different Types of Distributed Generation Unit

2015 ◽  
Vol 5 (5) ◽  
pp. 918
Author(s):  
Su Hlaing Win ◽  
Pyone Lai Swe
Keyword(s):  
Power System ◽  
Distributed Generation ◽  
Radial Distribution ◽  
Distribution System ◽  
Reactive Power ◽  
Distribution Network ◽  
Loss Reduction ◽  
Voltage Profile ◽  
Optimum Location ◽  
Power Losses

A Radial Distribution network is important in power system area because of its simple design and reduced cost. Reduction of system losses and improvement of voltage profile is one of the key aspects in power system operation. Distributed generators are beneficial in reducing losses effectively in distribution systems as compared to other methods of loss reduction. Sizing and location of DG sources places an important role in reducing losses in distribution network. Four types of DG are considered in this paper with one DG installed for minimize the total real and reactive power losses. The objective of this methodology is to calculate size and to identify the corresponding optimum location for DG placement for minimizing the total real and reactive power losses and to improve voltage profile   in primary distribution system. It can obtain maximum loss reduction for each of four types of optimally placed DGs. Optimal sizing of Distributed Generation can be calculated using exact loss formula and an efficient approach is used to determine the optimum location for Distributed Generation Placement.  To demonstrate the performance of the proposed approach 36-bus radial distribution system in Belin Substation in Myanmar was tested and validated with different sizes and the result was discussed.

scholarly journals Power losses reduction of power transmission network using optimal location of low-level generation

2020 ◽  
Vol 10 (6) ◽  
pp. 5586
Author(s):  
Marwa M. Marei ◽  
Manal H. Nawer
Keyword(s):  
Electric Power ◽  
Power Loss ◽  
Optimal Allocation ◽  
Load Flow ◽  
Transmission Network ◽  
Loss Reduction ◽  
Power Losses ◽  
Power Utility ◽  
Low Level ◽  
Power Loss Reduction

Due to the growth of demand for electric power, electric power loss reduction takes great attention for the power utility. In this paper, a low-level generation or Distributed Generation (DG) has been used for transmission power losses reduction. Karbala city transmission network (which is the case study) has been represented by using MATLAB m-file to study the load flow and the power loss for it. The paper proposed the Particle Swarm Optimization (PSO) technique in order to find the optimal number and allocation of DG with the objective to decrease power losses as possible. The results show the effect of the optimal allocation of DG on power loss reduction.

scholarly journals Reliability Assessment of Electric Power System with Distributed Generation Facilities

2020 ◽  
Author(s):  
B. Papkov ◽  
V. Osokin
Keyword(s):  
Power Systems ◽  
Power System ◽  
Electric Power ◽  
Distributed Generation ◽  
Renewable Energy Sources ◽  
Electric Power System ◽  
Operating Conditions ◽  
Electrical Network ◽  
Traditional Concept ◽  
Reliability Indices

Modern power supply systems that have distributed generation and are connected to the electric power system, renewable energy sources, and storage devices, require changes in the assessment of their reliability indices. The complexity of the energy, technological, and organizational structures of power systems with distributed generation does not allow the traditional concept of "failure" to be used to assess their reliability. Many technological solutions used in the distributed generation projects can become sources of vulnerabilities in the infrastructure of an intelligent electrical network. The study shows that power systems with distributed generation are the structures with overlapping service areas, which determines their specific features represented by an integral characteristic - efficiency. It characterizes the extent to which the use of distributed generation facilities in various operating conditions is feasible. The paper proposes an approach to quantifying the efficiency of such systems. The presented examples demonstrate the calculation of relatively simple power systems with the distributed generation that perform several tasks simultaneously.

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