scholarly journals The Study of the Effect of Capacity Increase and Photovoltaic Placement on Power Loss, Voltage Profile by Considering THDv

2021 ◽  
Vol 1 (2) ◽  
pp. 74-79
Author(s):  
Syukri Yunus ◽  
R.H. Sukma
Keyword(s):  
Power Loss ◽  
Flow Simulation ◽  
Electrical Energy ◽  
Optimal Location ◽  
Electric Power System ◽  
Sensitivity Factor ◽  
Sensitivity Index ◽  
Voltage Sensitivity ◽  
Voltage Profile ◽  
Maximum Capacity

The application of Photovoltaic (PV) is one solution to the increasing demand for electrical energy. However, the application of photovoltaic (PV) must be in the right location and capacity so that the power loss you want to reduce is large and the voltage profile is good. Photovoltaic (PV) generates DC voltage which is then required by an inverter to convert it to AC. The inverter is a non-linear load that produces harmonics. Harmonics in an electric power system can be known from Total Harmonic Distortion (THD). The purpose of this study is to determine the optimal location of placement (PV) and its maximum capacity so that the power loss is smaller. The resulting voltage and THD profile conform to the permitted standards. The methods used in determining the optimal location of photovoltaic (PV) are Loss Sensitivity Factor (LSF) and Voltage Sensitivity Index (VSI). ETAP 16 software is used for power and harmonic flow simulation. From this research, the most optimal photovoltaic (PV) placement is on bus 10 (bus 283 T) with a maximum capacity of 3255 kVA. This placement location provides minimal power loss and a good voltage profile taking into account the permitted standard THDv.

scholarly journals Optimal planning of RDGs in electrical distribution networks using hybrid SAPSO algorithm

2020 ◽  
Vol 10 (6) ◽  
pp. 6153
Author(s):  
Mohammed Hamouda Ali ◽  
Mohammed Mehanna ◽  
Elsaied Othman
Keyword(s):  
Renewable Energy ◽  
Radial Distribution ◽  
Distribution Network ◽  
Distribution Networks ◽  
Sensitivity Factor ◽  
Sensitivity Index ◽  
Voltage Profile ◽  
Power Losses ◽  
Electrical Distribution ◽  
The Impact

The impact of the renewable distributed generations (RDGs), such as photovoltaic (PV) and wind turbine (WT) systems can be positive or negative on the system, based on the location and size of the DG. So, the correct location and size of DG in the distribution network remain an obstacle to achieving their full possible benefits. Therefore, the future distribution networks with the high penetration of DG power must be planned and operated to improve their efficiency. Thus, this paper presents a new methodology for integrated of renewable energy-based DG units with electrical distribution network. Since the main objective of the proposed methodology is to reduce the power losses and improve the voltage profile of the radial distribution system (RDS). In this regard, the optimization problem was formulated using loss sensitivity factor (LSF), simulated annealing (SA), particle swarm optimization (PSO) and a combination of loss sensitivity index (LSI) with SA & PSO (LSISA, LSIPSO) respectively. This paper contributes a new methodology SAPSO, which prevents the defects of SA & PSO. Optimal placement and sizing of renewable energy-based DG tested on 33-bus system. The results demonstrate the reliability and robustness of the proposed SAPSO algorithm to find the near-optimal position and size of the DG units to mitigate the power losses and improve the radial distribution system's voltage profile.

scholarly journals Determining optimal location and size of capacitors in radial distribution networks using moth swarm algorithm

2020 ◽  
Vol 10 (5) ◽  
pp. 4514
Author(s):  
Thanh Long Duong ◽  
Thuan Thanh Nguyen ◽  
Van-Duc Phan ◽  
Thang Trung  Nguyen
Keyword(s):  
Radial Distribution ◽  
Power Loss ◽  
Solution Method ◽  
Distribution Networks ◽  
Test System ◽  
Optimal Location ◽  
Effective Solution ◽  
Voltage Profile ◽  
Radial Distribution Networks ◽  
Swarm Algorithm

In this study, the problem of optimal capacitor location and size determination (OCLSD) in radial distribution networks for reducing losses is unraveled by moth swarm algorithm (MSA). MSA is one of the most powerful meta-heuristic algorithm that is taken from the inspiration of the food source finding behavior of moths. Four study cases of installing different numbers of capacitors in the 15-bus radial distribution test system including two, three, four and five capacitors areemployed to run the applied MSA for an investigation of behavior and assessment of performances. Power loss and the improvement of voltage profile obtained by MSA are compared with those fromother methods. As a result, it can be concluded that MSA can give a good truthful and effective solution method for OCLSD problem.

scholarly journals Optimization of Nigerian Power System Distribution using Distributed Generation

2019 ◽  
Vol 8 (12) ◽  
pp. 3618-3622
Keyword(s):  
Power System ◽  
Distributed Generation ◽  
Power Loss ◽  
Electrical Energy ◽  
The State ◽  
Total Power ◽  
Main Function ◽  
Voltage Profile ◽  
Distribution Company ◽  
Enugu State

The main aim of this paper is to enhance the performance of power system distribution in Enugu State Nigeria using distributed Generation System. The main function of power system distribution is to transfer electrical energy to the consumers, while maintaining an acceptable reliability and voltage quality to all customers. It is sad to know that such services is lacking from the Electrical distribution company at Enugu State Nigeria. This paper proposed to setup a centralized plants distributing electricity within the state through Distributed Generation (DG). The implemented DG was abletoreducethe Power Loss from the transmissiona n d distribution stations within the state and also improve voltage profile. The author was able to optimize the power generationfrom wind Energy source to the Distribution network and the DG system was able tostabilize the network by normalizing the fluctuating voltage profile at the distribution end of power system. In order to achieve that, the power system network wasmodeled and simulated using MATLAB/SIMULINK software. The results of the simulation with DG system and without DG system were compared. The result from power Network without DG shows instability of perunit voltage between 0 to 5 seconds and while that from DG system shows stabilization per-unit voltage between 5 to 10 seconds. The total power system Loss without DG system was 2350KW while the power loss with DG system was 1883KW. Hence, the percentage of power system improvement was 11.03%. Therefore from the results, there is reduction of power Loss when DG is applied in the power system.

scholarly journals Optimal Siting and Sizing of Multiple DG Units for the Enhancement of Voltage Profile and Loss Minimization in Transmission Systems Using Nature Inspired Algorithms

2016 ◽  
Vol 2016 ◽  
pp. 1-16 ◽  
Author(s):  
Ambika Ramamoorthy ◽  
Rajeswari Ramachandran
Keyword(s):  
Smart Grid ◽  
Technological Development ◽  
Renewable Energy Sources ◽  
Optimization Technique ◽  
Transmission System ◽  
Optimal Location ◽  
Sensitivity Factor ◽  
Voltage Profile ◽  
Optimal Sizing ◽  
Nature Inspired Algorithms

Power grid becomes smarter nowadays along with technological development. The benefits of smart grid can be enhanced through the integration of renewable energy sources. In this paper, several studies have been made to reconfigure a conventional network into a smart grid. Amongst all the renewable sources, solar power takes the prominent position due to its availability in abundance. Proposed methodology presented in this paper is aimed at minimizing network power losses and at improving the voltage stability within the frame work of system operation and security constraints in a transmission system. Locations and capacities of DGs have a significant impact on the system losses in a transmission system. In this paper, combined nature inspired algorithms are presented for optimal location and sizing of DGs. This paper proposes a two-step optimization technique in order to integrate DG. In a first step, the best size of DG is determined through PSO metaheuristics and the results obtained through PSO is tested for reverse power flow by negative load approach to find possible bus locations. Then, optimal location is found by Loss Sensitivity Factor (LSF) and weak (WK) bus methods and the results are compared. In a second step, optimal sizing of DGs is determined by PSO, GSA, and hybrid PSOGSA algorithms. Apart from optimal sizing and siting of DGs, different scenarios with number of DGs (3, 4, and 5) andPQcapacities of DGs (Palone,Qalone, and  PandQboth) are also analyzed and the results are analyzed in this paper. A detailed performance analysis is carried out on IEEE 30-bus system to demonstrate the effectiveness of the proposed methodology.

scholarly journals Enhancement of Voltage Stability by Using SVC for 30-Bus Power System

2019 ◽  
Vol 4 (2) ◽  
pp. 128-136
Author(s):  
Dara Hama Amin
Keyword(s):  
Power System ◽  
Voltage Stability ◽  
Reactive Power ◽  
Sensitivity Factor ◽  
Voltage Sensitivity ◽  
Voltage Profile ◽  
Voltage Level ◽  
Facts Devices ◽  
Before And After ◽  
The Stability

Voltage stability refers to maintaining the value of the voltage in all busses of the electric network at a steady level (initial operating point) during any sudden disturbance. Voltage instability may happen due to an increase in the demand of the load or in case of any change in the reactive power, thus, the system will go into uncontrollable and unstoppable decline in the voltage level. The effect of Static Var Compensator (SVC) on voltage stability is discussed in the paper, as well as the improvement of the voltage profile. Usually, SVC and FACTS devices were used for enhancing the voltage level profile and so the stability. Choosing the optimal location for the FACTS devices is essential due to its expensive costs. This paper used sensitivity factor to helpful to determine the most correct placement of FACTS devices in the system. Simulations are performed on Kurdistan Region 30-bus Power System using MATLAB-PSAT tool. As a result, the voltage of all 30 buses calculated. Based on the “voltage sensitivity factor”, the nominated weak buses has been marked which are suitable for placing the FACTS devices in order to improve the limits of the voltage stability of the system. Moreover, depending on the obtained optimal locations, a full analysis of the voltage and powers for the system has applied in two cases, before and after placing SVC respectively which is result in notable stability improvement and losses reduction.

scholarly journals Developing Efficient Charging Schedule of Electrical Vehicles for Centralized Charging Station by Analyzing Impact on Distribution Network Due to EV Charging

2020 ◽  
Vol 4 (5) ◽  
Author(s):  
Silvia Tasnim ◽  
Md. Jashim Uddin ◽  
Synthia Tahsin ◽  
Khairul Anam
Keyword(s):  
Distribution System ◽  
Distribution Network ◽  
Test System ◽  
Sensitivity Factor ◽  
Voltage Sensitivity ◽  
Voltage Profile ◽  
Charging Station ◽  
Power System Performance ◽  
The Impact ◽  
Ev Charging

— The penetration of Electric Vehicle (EV) on the distribution network has been increased worldwide and this has also boosted up the impacts on power system performance affecting voltage profile, voltage sensitivity factor, harmonics, overloading, increased grid loss resulting in reduced efficiency and power quality. A coordinated charging schedule can reduce this stress on the power grid and show significant improvement of network parameters. In this study, by simulating through Power Factory built-in MV/LV distribution test system, the impact of increasing EV on the distribution system has been analyzed and a simple approach of charging schedule for a centralized charging station has been proposed that will minimize the deteriorating impacts on connected distribution system due to EV charging.

scholarly journals SPSO Based Optimal Integration of DGs in Local Distribution Systems under Extreme Load Growth for Smart Cities

Electronics ◽  
2021 ◽  
Vol 10 (20) ◽  
pp. 2542
Author(s):  
Mian Rizwan ◽  
Muhammad Waseem ◽  
Rehan Liaqat ◽  
Intisar Ali Sajjad ◽  
Udaya Dampage ◽  
...  
Keyword(s):  
Distribution System ◽  
Power Loss ◽  
Distribution Systems ◽  
Smart Cities ◽  
Electrical Energy ◽  
Distribution Networks ◽  
Economic Benefits ◽  
Voltage Profile ◽  
Extreme Load ◽  
System Nodes

Renewable energy-based distributed generators (DGs) are gaining more penetration in modern grids to meet the growing demand for electrical energy. The anticipated techno-economic benefits of these eco-friendly resources require their judicious and properly sized allocation in distribution networks (DNs). The preeminent objective of this research is to determine the sizing and optimal placing of DGs in the condensed DN of a smart city. The placing and sizing problem is modeled as an optimization problem to reduce the distribution loss without violating the technical constraints. The formulated model is solved for a radial distribution system with a non-uniformly distributed load utilizing the selective particle swarm optimization (SPSO) algorithm. The intended technique decreases the power loss and perfects the voltage profile at the system’s nodes. MATLAB is used for the simulation, and the obtained results are also validated by the Electrical Transient Analysis Program (ETAP). Results show that placing optimally sized DGs at optimal system nodes offers a considerable decline in power loss with an improved voltage profile at the network’s nodes. Distribution system operators can utilize the proposed technique to realize the reliable operation of overloaded urban networks.

scholarly journals Sensitivity Based Approach for the Optimal Sizing and Allocation of Distributed Generation in a Radial Network

2020 ◽  
Vol 5 (6) ◽  
pp. 751-756
Author(s):  
Paul C. Maduforo ◽  
Jonas N. Emechebe ◽  
Emmanuel M. Eronu ◽  
Stephen Adole Benson
Keyword(s):  
Distributed Generation ◽  
Power Reduction ◽  
Sensitivity Index ◽  
Voltage Sensitivity ◽  
Voltage Profile ◽  
Unity Power Factor ◽  
Step Size ◽  
Index Method ◽  
Sensitivity Method ◽  
Radial Network

Electric power has remained a basic essential for the advancement of any nation's economy. Increasing human exercises because of innovative advancement combined with populace development has made the interest for power dramatically increasing continuously, subsequently widening the gap between power generated and the demand by the consumers. This work provides sensitivity based method for the allocation of a distributed generation in a distribution network aimed at improving the voltage profile and reduce power loss in the quest to narrow the gap between power generated and that demanded by the consumers. Using the Loss sensitivity method, a DG of 153kW was allocated to bus 5 that sees a power reduction of 46% with voltage profile improved within constraints. Voltage sensitivity index was calculated at all nodes. Bus 17 was found to have the minimum VSI. In this case DG sizes were taken in step size of 17.5kW starting from 30 kW till 170 kW at different power factors of 1.0, 0.9, 0.85, and 0.8. The DG sizes were tested at the selected power for various DG sizes. 135kW DG at unity power factor was installed. After comparing the two methods it can be concluded that loss reduction in loss sensitivity method is more and it is better in terms of selecting the optimal location for the placement of DG. For the purpose of sizing the voltage sensitivity analysis index method is a better option.

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