scholarly journals Coordinated planning in improving power quality considering the use of nonlinear load in radial distribution system

2021 ◽  
Vol 11 (6) ◽  
pp. 4610
Author(s):  
Muhira Dzar Faraby ◽  
Ontoseno Penangsang ◽  
Rony Seto Wibowo ◽  
Andi Fitriati
Keyword(s):  
Power Quality ◽  
Radial Distribution ◽  
Distribution System ◽  
Optimization Technique ◽  
Electrical Energy ◽  
Optimization Method ◽  
Test System ◽  
Nonlinear Load ◽  
Radial Distribution System ◽  
Matlab Programming

<span lang="EN-US">Power quality has an important role in the distribution of electrical energy. The use of non-linear load can generate harmonic spread which can reduce the power quality in the radial distribution system. This research is in form of coordinated planning by combining distributed generation placement, capacitor placement and network reconfiguration to simultaneously minimize active power losses, total harmonic distortion (THD), and voltage deviation as an objective function using the particle swarm optimization method. This optimization technique will be tested on two types of networks in the form 33-bus and 69-bus IEEE Standard Test System to show effectiveness of the proposed method. The use of MATLAB programming shows the result of simulation of increasing power quality achieved for all scenario of proposed method.</span>

scholarly journals Optimal Placement of Reclosers in a Radial Distribution System for Reliability Improvement

Electronics ◽  
2021 ◽  
Vol 10 (24) ◽  
pp. 3182
Author(s):  
Afroz Alam ◽  
Mohd Tariq ◽  
Mohammad Zaid ◽  
Preeti Verma ◽  
Marwan Alsultan ◽  
...  
Keyword(s):  
Radial Distribution ◽  
Distribution System ◽  
Power Flow ◽  
Optimization Method ◽  
Test System ◽  
Optimal Placement ◽  
Radial Distribution System ◽  
Reliability Indices ◽  
Reliability Improvement ◽  
Bidirectional Power Flow

There is a need for the optimal positioning of protective devices to maximize customers satisfaction per their demands. Such arrangement advances the distribution system reliability to maximum achievable. Thus, radial distribution system (RDS) reliability can be improved by placing reclosers at suitable feeder sections. This article presents comprehensive details of an attempt to determine the reclosers’ optimal location in an RDS to maximize the utility profit by reliability improvement. Assessment of different reliability indices such as SAIDI, SAIFI, CAIFI, CAIDI, etc., with recloser placement, exhibits a considerable improvement in these indices in contrast with the absence of recloser. Consequently, a new bidirectional formulation has been proposed for the optimized arrangement of reclosers’. This formulation efficiently handles the bidirectional power flow, resulting from distributed generation (DG) unit (s) in the system. The proposed model has been solved for a test system by utilizing the Genetic algorithm (GA) optimization method. Later, test results conclude that reclosers’ optimal placement contributes significantly towards utility profit with minimum investment and outage costs.

scholarly journals Harmonic Analysis Considering DG Allocation and Load Growth in the Radial Distribution System

2021 ◽  
Vol 12 (6) ◽  
pp. 1741-1752
Author(s):  
Christeen G. Boktor Et al.
Keyword(s):  
Harmonic Analysis ◽  
Radial Distribution ◽  
Distribution System ◽  
Optimization Technique ◽  
Load Flow ◽  
Harmonic Load ◽  
Voltage Profile ◽  
Nonlinear Loads ◽  
Radial Distribution System ◽  
Load Growth

In the radial distribution system (RDS), the existence of nonlinear loads causes the generation of harmonic currents, which lead to a lot of problems in the system and equipment, such as electronic equipment is used to control the system due to its effectiveness and accuracy. But these are led to an increase in power losses, equipment will be damaged because of overloads, distortion in voltage and current waveforms. So, the importance of harmonic analysis is increased in the last researches and application for designing and determining its effect in the distribution system. Its benefit appears in finding how much the waveforms for voltage and current are distorted in all the buses in RDS. In this study, we will use the direct approach method to calculate harmonic load flow (HLF) analysis depending on two matrices BIBC and BCBV to determine the relationship between first branch current and bus injection, second branch current with bus voltage. This method is robust and more efficient in solving HLF. It will be applied on IEEE 34 bus system by using a hybrid optimization technique HPOGWO to determine the size for the distributed generated DG. Single, double, and triple units will inject to enhancement voltage profile considering load growth with harmonic sources (HRS) and comparing with the network without HRS.

scholarly journals Integration of distributed generation and compensating capacitor in radial distribution system via firefly algorithm

2019 ◽  
Vol 16 (1) ◽  
pp. 67 ◽  
Author(s):  
N. Khuan ◽  
S. R. A. Rahim ◽  
M. H. Hussain ◽  
A. Azmi ◽  
S. A. Azmi
Keyword(s):  
Distributed Generation ◽  
Radial Distribution ◽  
Distribution System ◽  
Firefly Algorithm ◽  
Optimal Location ◽  
Voltage Profile ◽  
Radial Distribution System ◽  
Programming Software ◽  
Matlab Programming ◽  
Voltage Profile Improvement

<p>This paper presents an integration of distributed generation and capacitor in radial distribution system via Firefly Algorithm (FA).  In this study, the FA is developed in order to determine the optimal location and size for compensation schemes namely distributed generation (DG) and compensating capacitor (CC). The FA which is a meta-heuristic algorithm is inspired by the flashing behavior of fireflies. The proposed technique was tested on IEEE Reliability Test systems namely the IEEE 69-bus and the program was developed using the MATLAB programming software. The results shown a significant reduction in the line losses and voltage profile improvement has been obtained with the installation of distributed generation and capacitor in the system.</p>

scholarly journals Enhancing radial distribution system performance by optimal placement of DSTATCOM

2020 ◽  
Vol 10 (3) ◽  
pp. 2850
Author(s):  
S. F. Mekhamer ◽  
R. H. Shehata ◽  
A. Y. Abdelaziz ◽  
M. A. Al-Gabalawy
Keyword(s):  
Radial Distribution ◽  
Distribution System ◽  
Power Loss ◽  
Optimization Methods ◽  
Optimization Method ◽  
Optimal Placement ◽  
Total Power ◽  
Voltage Profile ◽  
Radial Distribution System ◽  
Static Compensator

In this paper, A novel modified optimization method was used to find the optimal location and size for placing distribution Static Compensator in the radial distribution test feeder in order to improve its performance by minimizing the total power losses of the test feeder, enhancing the voltage profile and reducing the costs. The modified grey wolf optimization algorithm is used for the first time to solve this kind of optimization problem. An objective function was developed to study the radial distribution system included total power loss of the system and costs due to power loss in system. The proposed method is applied to two different test distribution feeders (33 bus and 69 bus test systems) using different Dstatcom sizes and the acquired results were analyzed and compared to other recent optimization methods applied to the same test feeders to ensure the effectiveness of the used method and its superiority over other recent optimization mehods. The major findings from obtained results that the applied technique found the most minimized total power loss in system ,the best improved voltage profile and most reduction in costs due power loss compared to other methods .

scholarly journals Hybrid Optimization for Optimal Distributed Generation Unit Placement in Radial Distribution System

2020 ◽  
Vol 9 (3) ◽  
pp. 1971-1978
Keyword(s):  
Power System ◽  
Electric Power ◽  
Distributed Generation ◽  
Radial Distribution ◽  
Distribution System ◽  
Optimization Technique ◽  
Hybrid Optimization ◽  
Radial Distribution System ◽  
And Control ◽  
Generation Unit

In recent years, the demand for electric power is growing at a faster rate. This makes present time power system into a more composite one in structure and in terms of placing utility elements, operation, maintenance and control of power system to deliver the electric power to customers. To satisfy the demand for electricity is necessitate more generating units nearer to customer points and need of proper operational planning. The power loss is a major concern towards distribution system performance. Hence, minimization of losses in the system is a major consideration. The distributed generation plays significant role in satisfying the need for electricity demand and also helps in minimization of system losses by adopting intelligent algorithm technique. Among all its advantages, power losses, voltage enhancement and cost benefits are the prime areas of study in distributed generation units. So, placing and allocation of distributed generation acquire more attention towards distribution system. In this paper, an intelligent hybrid optimization technique is proposed for optimal distributed generating unit for minimizing the losses in radial distribution system. The proposed optimization technique is implemented for IEEE 33-bus system radial distribution system. The obtained simulated results provide the good applicability and enhancement in execution of the proposed hybrid method.

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