An Analytical Method for Optimal Capacitors Placement from the Inversed Reduced Jacobian Matrix

Arief, Ardiaty; Antamil,; Nappu, Muhammad Bachtiar

doi:10.1016/j.egypro.2016.10.182

Cited by 22 publications

(5 citation statements)

References 13 publications

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“…To solve capacitor placement of distribution networks, a variety of methodologies have been proposed which can be classified into four categories: analytical, heuristic, numerical, and nature‐inspired optimization techniques. More details about these methodologies can be found in the literature . In recent years, to find the optimal location and size of shunt capacitors, many researchers have resorted to nature‐inspired optimization algorithms like gravitational search algorithm, simulated annealing, harmony search, water cycle algorithm, bacterial foraging, ant lion optimization technique, tabu search, genetic algorithm, plant growth simulation algorithm, whale optimization algorithm, teaching‐learning based optimization, ant colony optimization, cuckoo search (CS), firefly algorithm, artificial bee colony (ABC), particle swarm optimization (PSO), and crow search algorithm (CSA) .…”

Section: Introductionmentioning

confidence: 99%

“…More details about these methodologies can be found in the literature. [8][9][10][11][12] In recent years, to find the optimal location and size of shunt capacitors, many researchers have resorted to nature-inspired optimization algorithms like gravitational search algorithm, 13 simulated annealing, 14 harmony search, [15][16][17] water cycle algorithm, 18 bacterial foraging, 19 ant lion optimization technique, 20 tabu search, 21 genetic algorithm, 22 plant growth simulation algorithm, 1 whale optimization algorithm, 23 teaching-learning based optimization, 24 ant colony optimization, 25,26 cuckoo search (CS), [27][28][29] firefly algorithm, 30 artificial bee colony (ABC), [31][32][33] particle swarm optimization (PSO), [34][35][36] and crow search algorithm (CSA). 37 Due to the fact that nature-inspired optimization techniques use stochastic patterns to probe the search space, they can escape local optima.…”

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confidence: 99%

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Capacitor placement in radial distribution networks based on identification of high potential busses

Montazeri

Askarzadeh

2018

Int Trans Electr Energ Syst

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Summary In capacitor placement problem, since problem dimension is high and there are many local optima, optimization techniques may be trapped in local optima. Identification of high potential busses for capacitor placement leads to reducing search space and approaching to optimal solution especially for large distribution networks. This study proposes a new approach based on power loss index to identify high potential busses for capacitor placement in radial distribution networks. After identification of high potential busses (phase 1), a recently developed metaheuristic technique, crow search algorithm, is utilized for solving the optimization problem (phase 2). On test systems, simulation results confirm the usefulness of the proposed approach in comparison with the other methodologies.

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Section: Introductionmentioning

confidence: 99%

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confidence: 99%

Capacitor placement in radial distribution networks based on identification of high potential busses

Montazeri

Askarzadeh

2018

Int Trans Electr Energ Syst

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“…Ardiaty proposed a new formula to measure the Reactive Contribution Index (RCI) of each node. His objective function was to achieve the most stable condition with feeder loss minimization [46]. In article [47], the authors proposed a probabilistic load flow analysis for radial distributions system (PLFRDS) considering stochastic load variations.…”

Section: Methodsmentioning

confidence: 99%

An Extensive Literature Review and New Proposal on Optimal Capacitor Placement in Distribution Systems

Mostafa

Shingh

Haque

2020

JEA

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The main goal of power utilities is to supply reliable and quality power to the end-users and fulfill their total demands at all possible locations. Most of the loads are connected in the distribution systems are inductive. The excessive reactive power demand over the distribution network causes tremendous reactive power losses and changes the voltage profile, hence the system's reliability. Shunt Capacitor Bank (SCB) is widely used in the distribution system for reactive power support, voltage profile, and system performance improvement. But there are some challenges to employ SCB in the distribution network; among them, ensuring the most optimum location and size is a big challenge to get the maximum benefits. Some existing techniques showed better loss reduction but needed either larger SCBs sizes or cause improper node voltage. In this research study, the first section provides an extensive literature review of optimal SCBs placement and sizing. Later on, a new technique called Combinatorial Method has been developed for sizing and sitting of optimal Shunt Capacitors to reduce the distribution loss significantly. The developed method was tested for different case studies using Indian practical 22-bus and IEEE-69-bus network. The results were compared with DSA, Fuzzy GA, and TLBO method and found better distribution feeder loss minimization and voltage profile improvement.

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“…In order to avoid this instability, there are several preventive steps that can be taken; one of them is the installation of a reactive power compensation scheme. This compensation device in the power system provides reactive power compensation; reduces network losses; reduces energy losses; improves the voltage profile; releases system capacity; and recovers the power factor (Sajjadi et al, 2013;Taher & Bagherpour, 2013;Arief et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Analytical Method for Reactive Power Compensators Allocation

Arief¹,

Nappu²,

Antamil³

2018

IJTech

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This paper presents a novel analytical methodology to determine the placement of reactive power devices in power systems. The proposed method modifies the Modal analysis technique and, based on the inversed reduced Jacobian matrix, develops a new formulation to compute the Reactive Contribution Factor (RCF) of each load buses. The objective of this research is to achieve the most stable condition and to minimize network losses. The proposed method is implemented at the modified IEEE 30-bus Reliability Test System (RTS) and compared with a different placement. In order to assess the method, this work compares the voltage profile, eigenvalue and network losses. The simulation results show that the proposed method can provide a solution to the ideal shunt compensator placement by improving the system's voltage stability and by minimizing losses.

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An Analytical Method for Optimal Capacitors Placement from the Inversed Reduced Jacobian Matrix

Cited by 22 publications

References 13 publications

Capacitor placement in radial distribution networks based on identification of high potential busses

Capacitor placement in radial distribution networks based on identification of high potential busses

An Extensive Literature Review and New Proposal on Optimal Capacitor Placement in Distribution Systems

Analytical Method for Reactive Power Compensators Allocation

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