Optimal sitting and sizing of shunt capacitor for real power loss reduction on radial distribution system using firefly algorithm: A case study of Nigerian system (original) (raw)
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A Novel Optimal Shunt Capacitors Placement and Sizing Technique for Cost Minimization
2022
The installation of shunt capacitors in radial distribution systems leads to reduced branch power flows, branch currents, branch power losses and voltage drops. Consequently, this results in improved voltage profiles and voltage stability margins. However, for efficient attainment of the stated benefits, the shunt capacitors ought to be installed in an optimal manner, that is, optimally sized shunt capacitors need to be installed at the optimum buses of an electrical system. This article proposes a novel approach for optimizing the placement and sizing of shunt capacitors in radial distribution systems with a focus on minimizing the cost of active power losses and shunt capacitors’ purchase, installation, operation and maintenance. To reduce the search space, hence the computation time, the prroposed approach starts the search process by arranging the buses of the radial distribution system under consideration in pairs. Thereafter, these pairs influence each other to determine the o...
International Journal of Engineering Research and Technology (IJERT), 2014
https://www.ijert.org/a-new-meta-heuristic-algorithm-based-shunt-capacitive-compensation-for-power-loss-reduction-on-radial-distribution-system https://www.ijert.org/research/a-new-meta-heuristic-algorithm-based-shunt-capacitive-compensation-for-power-loss-reduction-on-radial-distribution-system-IJERTV3IS100348.pdf This paper describes an efficient and novel approach for capacitor placement in radial distribution systems that determine the optimal locations and size of capacitor with an objective of enhancing the voltage profile and reduction of power loss. The solution method has got two parts: in first part the loss sensitivity factors are used to select the potential buses for the capacitor placement. These loss sensitivity factors are determined by single base case power flow study .and in second part a new algorithm that employs Flower pollination Algorithm (FPA) is used to estimate the optimal size of capacitors at the optimal buses determined in part one.For the first time flower pollination algorithm is applied for capacitor placement and sizing. The main advantage of the proposed method is that it does require a very few control parameters. The proposed method is tested on 10, 15, 69 and 85-bus radial distribution systems. The results obtained by the proposed method are compared with other methods. The proposed method has given quite promising results over the other methods in terms of the quality of solution.
Complexity, 2022
The losses in the radial distribution system are inevitable which needs to be minimized for the proper transmission of power to the end customers. This problem can be solved by the allocation of capacitor banks at proper locations with appropriate sizing. These allocations need an efficient approach for the performance enhancement of RDS. In this paper, several metaheuristic techniques such as particle swarm optimization (PSO), Harmony search, Bat, Cuckoo, and Grey-wolf (GW) algorithms are employed to find the size of capacitor banks. Loss sensitivity analysis is considered for the indication of candidate buses where a capacitor has to be installed to reduce the total system losses and ultimately increase efficiency. Cost-effectiveness, power loss minimization, and voltage enhancement can be determined and compared for these 5 techniques and are implemented on the IEEE-34 bus system to illustrate the efficacy of each of them. The results show the advantages and drawbacks of the tech...
The Impact of Shunt Capacitor Size and Location on Power Losses in Radial Distribution System
2018
High power losses is produced in the distribution side as compared to another subsystem of the power system (transmission and generation). Installation of a shunt capacitor in the distribution is one of the alternative solution for power losses reduction. However, the non-optimal location and size of shunt capacitor may lead to the increment of losses. In order to reduce the power losses, the location and size of shunt capacitor are optimised simultaneously using Particle Swarm Optimization (PSO) algorithm. Different cases are carried out to observe the impact of the shunt capacitor placement. The result shows that the location of shunt capacitor influences the system power losses reduction. The shunt capacitor must be located near to the load. The optimal location and size of shunt capacitor is achieved efficiently using PSO algorithm. The study is tested on the 33-bus test system and is simulated by using MATLAB software.
Optimum shunt capacitor placement in distribution system—A review and comparative study
Renewable and Sustainable Energy Reviews, 2014
Shunt capacitors are commonly used in distribution system for reactive power compensation. Different analytical, numerical programming, heuristic and artificial intelligent based techniques have been proposed in the literature for optimum shunt capacitor bank (SCB) placement. This paper will present a very detailed overview of optimum SCB placement techniques. Six different approaches of optimum SCB placement based on minimization of power losses, weakest voltage bus approach and maximization of system loadability will be applied on four different radial distribution test systems. The results will be compared on the basis of power loss reduction, voltage profile improvement, system loadability maximization and the line limit constraint.
Optimal Capacitor Placement and Sizing in Radial Distribution System
2015
Shunt capacitors are used for reactive power compensation to maintain voltage in a distribution system. The aim of the problem is to find an optimal location and size of capacitor to install on a distribution system. Determination of capacitor size is an optimization problem and the goal is to minimize overall cost of power loss as well as cost of shunt capacitors simultaneously while satisfying constraints. In this paper, capacitor placement is carried out using a Loss Sensitivity Factor method and the solution of capacitor sizing problem is achieved using Goal Attainment method. Optimization problem is solved with the help of MatLab and load flow is carried out using MiPower software.
Shunt Capacitor Position and Size Selection for Radial Distribution System using GA
This paper presents a new approach for shunt Capacitor position and size for radial distribution network based on genetic approach. Distribution networks experience distinct changes from low load level to high load level every day. In certain industrial areas, it has been observed that under certain critical loading conditions, the distribution system experience voltage collapse. Due to this phenomenon, system voltage collapses periodically and urgent reactive compensation needs to be supplied to avoid repeated voltage collapse. In this Paper a new approach for finding Capacitor size and Position presented .The node having the voltage stability index minimum is more prone to voltage collapse. That node is identified as candidate node. Further capacitors are installed at the candidate nodes for improvement of Voltage stability index. Genetic Algorithm is more suitable for such problems. So Genetic Algorithm is used for sizing of capacitors at selected locations.
Optimal Placement and Sizing of Capacitors in Radial Distribution Systems: A Two-Stage Method
Journal of Engineering Research and Reports
Optimal allocation of shunt capacitors in the radial distribution networks results in both technical and economic benefits. This paper presents a two-stage method of Loss Sensitivity Factor (LSF) and Cuckoo Search Algorithm (CSA) to find the optimal size and location of shunt capacitors with the objective of minimizing cost due to power loss and reactive power compensation of the distribution networks. The first stage utilizes the LSF to predict the potential candidate buses for shunt capacitor placement thereby reducing the search space of the second stage and avoiding unnecessary repetitive load flow while the second stage uses the CSA to find the size and actual placement of the shunt capacitors satisfying the operating constraints. The applicability of the proposed two stage method is tested on the standard IEEE 33-bus and Ayepe 34-bus Nigerian radial distribution networks of the Ibadan Electricity Distribution Company. After running the algorithm, the simulation results gave pe...