scholarly journals Optimal capacitor placement in a distribution system using ETAP software

2019 ◽  
Vol 15 (2) ◽  
pp. 650
Author(s):  
M. J. Tahir ◽  
Badri. A. Bakar ◽  
M. Alam ◽  
M. S. Mazlihum
Keyword(s):  
Power System ◽  
Objective Function ◽  
Power Factor ◽  
Distribution System ◽  
Voltage Drop ◽  
Optimization Technique ◽  
Voltage Profile ◽  
Power Losses ◽  
Capacitor Placement ◽  
Optimal Capacitor Placement

<p>Mostly loads are inductive in nature in content of distribution side for any power system. Due to which system faces high power losses, voltage drop and reduction in system power factor. Capacitor placement is a common method to improve these factors. To maximize the reduction of inductive load impact, optimal capacitor placement (OCP) is necessary with the objective function of system cost minimization for voltage profile enhancement, power factor improvement and power losses minimization. As OCP is a non-linear problem with equality and inequality limitations, so the stated objective depends upon he placement and sizes of the capacitor banks. Electrical transient analyzer program (ETAP) software is used for the evaluation and modelling the power systems and genetic algorithm (GA) is used as an optimization technique for the minimization of the objective function. In this paper, to show the effectiveness of the technique IEEE 4bus,33bus system and NTDC 220KV real time grid system is modelled and evaluated in terms of objective minimization i-e maximum cost saving of the power system</p>

scholarly journals Mitigation of power quality issues in distribution systems using harmonic filters and capacitor banks

2021 ◽  
Vol 34 (4) ◽  
pp. 589-603
Author(s):  
Ahmad Alsakati ◽  
Chockalingam Vaithilingam ◽  
Kameswara Prakash ◽  
Reynato Gamboa ◽  
Arthanari Jagadeeshwaran ◽  
...  
Keyword(s):  
Power System ◽  
Power Quality ◽  
Distribution System ◽  
Distribution Systems ◽  
Voltage Profile ◽  
Capacitor Banks ◽  
Capacitor Placement ◽  
Optimal Capacitor Placement ◽  
Quality Issues ◽  
Harmonic Distortions

Due to increased load demand, the power system developers are encouraged to meet power quality requirements. Using harmonic filter and capacitor bank is one of the essential solutions in mitigating power quality issues. This research aims to mitigate harmonics and improve the voltage in distribution systems by using ETAP. For this purpose, a distribution system in Homs city is considered, which is a part of Syrian power system. The capacitor banks are designed using numerical analysis and Optimal Capacitor Placement (OCP). The results indicate that this approach enhances the voltage profile, which is reflected in some buses. The voltage profile is effectively improved on several buses, and power losses are significantly reduced. The Total Harmonic Distortions (THDs) and Individual Harmonic Distortions (IHDs) of the subjected buses are reduced. Moreover, the power factor is improved from 0.877 to 0.926 for the studied system.

Optimal Capacitor Allocation in Distribution System Using Particle Swarm Optimization

2014 ◽  
Vol 699 ◽  
pp. 770-775
Author(s):  
Ihsan Jabbar Hasan ◽  
Chin Kim Gan ◽  
Meysam Shamshiri ◽  
Mohd Ruddin Ab Ghani ◽  
Ismadi bin Bugis
Keyword(s):  
Particle Swarm Optimization ◽  
Objective Function ◽  
Particle Swarm ◽  
Voltage Profile ◽  
Power Losses ◽  
Swarm Optimization ◽  
Standard Case ◽  
Capacitor Placement ◽  
Penalty Factor ◽  
Ieee Standard

Capacitor installation is one of the most commonly used methods for reactive power compensation in the distribution networks. In this paper, the optimum capacitor placement and its sizing has been applied in the distribution network in terms of power losses minimization and voltage profile improvement. The maximum and minimum bus voltage and the maximum possible capacitor size are the constraints of optimum capacitor placement and sizing problem. There are considered as the penalty factor in the objective function. In order to evaluate the obtained objective function, the Particle Swarm Optimization (PSO) is utilized to find the best possible capacitor placement and capacity. The OpenDSS software has then been utilized to solve the power flow through Matlab coding interface. To validate the functionality of the proposed method, the IEEE 13-bus test system is implemented and the obtained results have been compared with the IEEE standard case without capacitor compensation. The results show that the proposed algorithm is more cost effective and has lower power losses as compared to the IEEE standard case. In addition, the voltage profile has been improved, accordingly.

scholarly journals Integrated monte carlo-evolutionary programming technique for distributed generation studies in distribution system

2019 ◽  
Vol 8 (3) ◽  
pp. 978-984
Author(s):  
Nur Ainna Shakinah Abas ◽  
Ismail Musirin ◽  
Shahrizal Jelani ◽  
Mohd Helmi Mansor ◽  
Naeem M. S. Honnoon ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Distributed Generation ◽  
Distribution System ◽  
Optimization Technique ◽  
Evolutionary Programming ◽  
Test System ◽  
Voltage Profile ◽  
Power Losses ◽  
Programming Technique ◽  
Distributed Generations

This paper presents the optimal multiple distributed generations (MDGs) installation for improving the voltage profile and minimizing power losses of distribution system using the integrated monte-carlo evolutionary programming (EP). EP was used as the optimization technique while monte carlo simulation is used to find the random number of locations of MDGs. This involved the testing of the proposed technique on IEEE 69-bus distribution test system. It is found that the proposed approach successfully solved the MDGs installation problem by reducing the power losses and improving the minimum voltage of the distribution system.

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.

Optimal Capacitor Placement for Loadability Enhancement Based on Continuation Power Flow

2015 ◽  
Vol 781 ◽  
pp. 321-324
Author(s):  
Krittidet Buayai ◽  
Kaan Kerdchuen
Keyword(s):  
Particle Swarm Optimization ◽  
Power System ◽  
Objective Function ◽  
Power Flow ◽  
Optimal Location ◽  
Swarm Optimization ◽  
Continuation Power Flow ◽  
Capacitor Placement ◽  
Voltage Deviation ◽  
Optimal Capacitor Placement

This paper presents the optimal capacitor placement in distribution power system for enhancement loadability. The continuation power flow technique is included in multi-objective function of particle swarm optimization (PSO) called non-dominated sorting PSO (NSPSO) for finding the capacitor location making maximum loadability. The experimental results of 33-bus system show that the optimal location and size of capacitor are different from considering power system loss and voltage deviation in objective function of optimization process.

scholarly journals Optimal placement of power factor correction capacitors in power systems using Teaching Learning Based Optimization

2017 ◽  
Vol 2 (2) ◽  
pp. 102-109
Author(s):  
Mouloud Bouaraki ◽  
Abdelmadjid RECIOUI
Keyword(s):  
Power Systems ◽  
Power Factor ◽  
Distribution System ◽  
Optimal Placement ◽  
Placement Problem ◽  
Capacitor Placement ◽  
Tlbo Algorithm ◽  
Optimal Capacitor Placement ◽  
Teaching Learning Based Optimization ◽  
Teaching Learning

This paper presents a method to optimize the placement of capacitors in a distribution system to correct power factor and reduce losses and costs. The method uses the Teaching Learning Based Optimization (TLBO) method to solve the optimal capacitor placement problem. The combinatorial nature of the problem suggests the employment of a mixed binary and real valued TLBO algorithm. To validate the efficiency of the method, it was applied to various examples (different bus systems) and simulation results are discussed.

scholarly journals Dual technique of reconfiguration and capacitor placement for distribution system

2020 ◽  
Vol 10 (1) ◽  
pp. 80
Author(s):  
Haider Fathi Kadom ◽  
Ali Nasser Hussain ◽  
Waleed Khalid Shakir Al-Jubori
Keyword(s):  
Distribution System ◽  
Optimal Solution ◽  
Significant Loss ◽  
Loss Reduction ◽  
Voltage Profile ◽  
System Reconfiguration ◽  
Capacitor Placement ◽  
Effective Performance ◽  
Optimal Capacitor Placement ◽  
Distribution System Reconfiguration

Radial Distribution System (RDS) suffer from high real power losses and lower bus voltages. Distribution System Reconfiguration (DSR) and Optimal Capacitor Placement (OCP) techniques are ones of the most economic and efficient approaches for loss reduction and voltage profile improvement while satisfy RDS constraints. The advantages of these two approaches can be concentrated using of both techniques together. In this study two techniques are used in different ways. First, the DSR technique is applied individually. Second, the dual technique has been adopted of DSR followed by OCP in order to identify the technique that provides the most effective performance. Three optimization algorithms have been used to obtain the optimal design in individual and dual technique. Two IEEE case studies (33bus, and 69 bus) used to check the effectiveness of proposed approaches. A Direct Backward Forward Sweep Method (DBFSM) has been used in order to calculate the total losses and voltage of each bus. Results show the capability of the proposed dual technique using Modified Biogeography Based Optimization (MBBO) algorithm to find the optimal solution for significant loss reduction and voltage profile enhancement. In addition, comparisons with literature works done to show the superiority of proposed algorithms in both techniques.

scholarly journals Performance Enhancement of Radial Distribution System via Network Reconfiguration: A Case Study of Urban City in Nepal

2021 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Govinda Prashad Pandey ◽  
Ashish Shrestha ◽  
Bijen Mali ◽  
Ajay Singh ◽  
Ajay Kumar Jha
Keyword(s):  
Distribution System ◽  
Energy Demand ◽  
Reactive Power ◽  
Voltage Drop ◽  
Base Case ◽  
Network Reconfiguration ◽  
Voltage Profile ◽  
Power Losses ◽  
Case Scenario ◽  
Urban City

Increasing unplanned energy demand increase has led to network congestion, increases power losses and poor voltage profile. To decrease these effects of an unmanaged power system, distribution network reconfiguration provides an effective solution. This paper deals with improving the power losses and poor voltage profile of the Phulchowk Distribution and Consumer Services (DCS) via the implementation of an optimum reconfiguration approach. A Genetic Algorithm (GA) is developed for the optimization. Further, it tries to answer to what extent can we improve the distribution system without overhauling the entire network. The developed simulation algorithm is firstly put into work on the IEEE 33 bus system to better its voltage profile and the poor power losses. The effectiveness of the developed system is validated as it reduced the voltage drop by 5.66% and the power loss by 25.96%. With the solution validated, the algorithm is further implemented in the case of Pulchowk DCS. After reconfiguring the system in different individual cases, optimum network reconfiguration is selected that improved the voltage profile by 3.85%, and the active and reactive power losses by 44.29% and 45.54% respectively from the base case scenario.

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