A three-phase power flow analysis for electrical power distribution system with low voltage profile

Hakim, Lukmanul; Wahidi, Muhamad; Murdika, Umi; Milano, Federico; Kubokawa, Junji; Yorino, Naoto

doi:10.1109/icitacee.2015.7437819

Cited by 5 publications

(7 citation statements)

References 9 publications

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“…Therefore, a linear programming-based optimal power flow method is utilized to find the location where minimum load shedding can be carried out to bring bus voltage to be within the ±5% limits. This work extends our previous works as reported in [11], [12] by utilizing polar representation of the bus complex voltage. In [12], linear programming optimal power flow was applied to reactive power allocation problem while in this work, the method is modified to find optimum load shedding amount for voltage profile improvement.…”

Section: Introductionsupporting

confidence: 79%

“…This work extends our previous works as reported in [11], [12] by utilizing polar representation of the bus complex voltage. In [12], linear programming optimal power flow was applied to reactive power allocation problem while in this work, the method is modified to find optimum load shedding amount for voltage profile improvement. Moreover, to allow easier handling of voltage magnitude constraint, voltage is represented in polar coordinate using vector form which differs from rectangular representation in our previous works.…”

Section: Introductionsupporting

confidence: 79%

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Voltage Profile Improvement through Load Shedding Action Using Linear Programming-based Optimal Power Flow

Hakim

Nafisah

Gusmedi

et al. 2018

ins

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This paper proposes a load shedding scheme to improve voltage profile of a power system. A linear programming approach to optimal power flow is utilized to obtain optimum amount of load to shed in order to bring power system to an acceptable operating region. In this work, ±5% voltage variation is considered to be acceptable and hence, an immediate control action should be taken if power system is operated beyond this limit. The proposed method was tested on the IEEE 57-bus test system. Results showed that the proposed approach was able to provide a minimum amount of load shedding action to improve voltage profile of the studied power system.

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Section: Introductionsupporting

confidence: 79%

Section: Introductionsupporting

confidence: 79%

Voltage Profile Improvement through Load Shedding Action Using Linear Programming-based Optimal Power Flow

Hakim

Nafisah

Gusmedi

et al. 2018

ins

Self Cite

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“…Berbagai penelitian yang terdahulu telah mencari lokasi dan kapasitas bank kapasitor pada jaringan distribusi dengan fungsi objektif yang berbeda-beda, yaitu dengan metode deterministik yang terdiri dari Linear Progamming [3], Non-Linear Progamming [4], Mixed Integer Progamming [5], serta metode meta-heuristik terdiri dari Genetic Algorithm [6], Simulated Annealing [7], Fuzzy Logic [8], Tabu Search [9], dan lainlain.…”

Section: Volume 12 No2 Mei 2018unclassified

Optimasi Penempatan dan Kapasitas Bank Kapasitor Untuk Mereduksi Rugi-Rugi Daya Menggunakan Kombinasi Metode Loss Sensitivity Factors dan Particle Swarm Optimization (PSO)

Anggara

Zebua²,

Hasan³

2019

ELE

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Intisari — Sistem distribusi yang memiliki saluran panjang biasanya memiliki masalah rugi-rugi daya dan votage drop. Masalah ini dapat diatasi dengan cara menempatkan bank kapasitor pada sistem distribusi. Masalah utama dalam penempatan bank kapasitor adalah menentukan lokasi dan kapasitas yang optimal. Penelitian ini menggunakan metode Loss Sensitivity Factors (LSF) untuk menentukan kandidat bus yang akan dipilih sebagai lokasi penempatan bank kapasitor dan metode algoritma Particle Swarm Optimization digunakan untuk mencari kapasitas optimal bank kapasitor yang dipasang. Simulasi dilakukan dengan menggunakan perangkat lunak MATLAB. Studi kasus yang digunakan adalah kasus uji IEEE 10 bus dan penyulang Pakis di gardu induk Menggala. Hasil simulasi menunjukkan bahwa kombinasi kedua metode dapat menentukan lokasi penempatan dan kapasitas optimal bank kapasitor dengan reduksi rugi-rugi daya yang minimum untuk kedua studi kasus.Kata kunci — Rugi-Rugi Daya, Bank Kapasitor, Loss Sensitivity Factors, Algoritma Particle Swarm Optimization. Abstract — Distribution systems that have long lines usually have problems with power losses and votage drop. This problem can be overcome by placing a bank capacitor in the distribution system. The main problem in the placement of bank capacitors is determining the optimal location and capacity. This study uses the Loss Sensitivity Factors (LSF) method to determine the candidate bus that will be selected as the location of the placement of bank capacitors and the Particle Swarm Optimization algorithm method is used to find the optimal capacity of the installed bank capacitor. Simulation is done using MATLAB software. The case studies used were the IEEE 10 bus and Pakter feeder test cases at the Menggala substation. The simulation results show that the combination of the two methods can determine the placement location and optimal capacitor capacity of the bank by reducing the minimum power losses for the two case studies.Keywords— Active power losses, Capacitor Bank, Loss Sensitivity Factors, Particle Swarm Optimization Algorithm.

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“…When this technique is used to solve problems with a large number of buses, a for-loop function is executed against the number of buses. This results in longer time required to complete the computation and sometimes it is difficult to converge [3,4].…”

Section: Introductionmentioning

confidence: 99%

Vector Form Implementation in Three-Phase Power Flow Analysis Based on Power Injection Rectangular Coordinate

Hakim

Prayoga

Khairudin

et al. 2019

JNTE

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This paper aims to proposed a vector form implementation into three-phase power flow analysis. The developed algorithm is based on Newton-Raphson method with voltage is represented in rectangular coordinate. The Python programming language and its mathematical libraries are used in this works. Three-phase power flow analysis in vector form utilizes sparse matrix ordering algorithm, hence the elements of the coefficient correction matrix can be rearranged easily. This method was used to solve threephase power flow for balance or unbalance network in two actual distribution system feeders in Lampung, i.e. 119 nodes and 191 nodes. Comparison with traditional Newton-Raphson method (non-vector) shows the vector form is able to solve computation up to eight times faster than the non-vector.

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A three-phase power flow analysis for electrical power distribution system with low voltage profile

Cited by 5 publications

References 9 publications

Voltage Profile Improvement through Load Shedding Action Using Linear Programming-based Optimal Power Flow

Voltage Profile Improvement through Load Shedding Action Using Linear Programming-based Optimal Power Flow

Optimasi Penempatan dan Kapasitas Bank Kapasitor Untuk Mereduksi Rugi-Rugi Daya Menggunakan Kombinasi Metode Loss Sensitivity Factors dan Particle Swarm Optimization (PSO)

Vector Form Implementation in Three-Phase Power Flow Analysis Based on Power Injection Rectangular Coordinate

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