Optimal placement of UPFC in power systems using immune algorithm

Taher, Seyed Abbas; Amooshahi, Muhammad Karim

doi:10.1016/j.simpat.2011.03.001

Cited by 34 publications

(13 citation statements)

References 32 publications

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“…A major thrust of FACTS technology is the development of electric-based power systems that provide a dynamic-control capability regarding the power-transfer parameters transmission voltage, line impedance and phase angle [2].…”

Section: Introductionmentioning

confidence: 99%

UPFC Device: Optimal Location and Parameter Setting to Reduce Losses in Electric-Power Systems Using a Genetic-algorithm Method

Mezaache¹,

Chikhi²,

Fetha³

2016

Transactions on Electrical and Electronic Materials

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Ensuring the secure operation of power systems has become an important and critical matter during the present time, along with the development of large, complex and load-increasing systems. Security constraints such as the thermal limits of transmission lines and bus-voltage limits must be satisfied under all of a system's operational conditions. An alternative solution to improve the security of a power system is the employment of Flexible Alternating-Current Transmission Systems (FACTS). FACTS devices can reduce the flows of heavily loaded lines, maintain the bus voltages at desired levels, and improve the stability of a power network. The Unified Power Flow Controller (UPFC) is a versatile FACTS device that can independently or simultaneously control the active power, the reactive power and the bus voltage; however, to achieve such functionality, it is very important to determine the optimal location of the UPFC device, with the appropriate parameter setting, in the power system. In this paper, a genetic algorithm (GA) method is applied to determine the optimal location of the UPFC device in a network for the enhancement of the power-system loadability and the minimization of the active power loss in the transmission line. To verify our approach, simulations were performed on the IEEE 14 Bus, 30 Bus, and 57 Bus test systems. The proposed work was implemented in the MATLAB platform.

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Section: Introductionmentioning

confidence: 99%

UPFC Device: Optimal Location and Parameter Setting to Reduce Losses in Electric-Power Systems Using a Genetic-algorithm Method

Mezaache¹,

Chikhi²,

Fetha³

2016

Transactions on Electrical and Electronic Materials

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“…In the literature, to get optimal power flow, immune algorithm is used for optimal placement of UPFC. The authors in previous studies have used static parameters such as voltage stability index, load factor, and numerical methods to try locating UPFC. In Chang et al, the placement of multi UPFCs is investigated using a numerical method based on power flow equations, and the results of the effect of each UPFC is presented.…”

Section: Introductionmentioning

confidence: 99%

“…Also the control mode of UPFC is found and minimised to lower the system power loss. In previous studies, [10][11][12][13][14] placement method of 1 UPFC is presented by using evolutionary algorithms.…”

Section: Introductionmentioning

confidence: 99%

“…Hajforoosh et al 10 presented the optimal placement of 1 UPFC and sizing of it using a particle swarm optimisationbased algorithm. In the literature, 11,14 to get optimal power flow, immune algorithm is used for optimal placement of UPFC. The authors in previous studies 11,[15][16][17][18][19][20][21][22][23][24][25][26][27] have used static parameters such as voltage stability index, load factor, and numerical methods to try locating UPFC.…”

Section: Introductionmentioning

confidence: 99%

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Optimal placement method of multi UPFCs to damp power system oscillations

motiebirjandi

Fateh

2017

Int Trans Electr Energ Syst

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Summary This paper proposed the placement of multi unified power flow controllers (UPFCs) using the system critical modes and residue factor to increase damping of the electromechanical oscillations in power system. For this purpose, the critical modes are used to determine the number of UPFCs and their optimal locations are determined using residue factor. Also, the dynamic model of UPFC, which is consists of a voltage source and a current source is used for small signal stability analysis. To control the parameters of this model, supplementary controller is designed and applied. Detection of the input signal for this controller is based on the participation factor, which is a simple and effective method. Finally, the proposed method is investigated on IEEE 39‐bus system and the results are presented.

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“…For that reason, it needs to be solved with an effective technique. Recently, researchers have presented different single and hybrid optimization algorithm to find optimal location of FACTS devices to achieve optimal power flow (OPF) such as [18][19][20][21]. A lot of heuristic algorithms such as evolutionary programming (EP), tabu search (TS), hybrid tabu search and simulated annealing (TS/SA), improved tabu search (ITS) and improved evolutionary programming (IEP) have been suggested to work out the OPF problems [22].…”

Section: Introductionmentioning

confidence: 99%

Optimal power flow using hybrid technique and ANN with FACTS controller

Vignesh

Selvi

2014

Journal of Intelligent &Amp; Fuzzy Systems

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Nowadays, several methods are discovered for providing an efficient and an undisturbed power supply to the customers. This process starts at the generating station which mainly deals with Optimal Power Flow (OPF) method. The OPF method is an important method used to increase the power flow between the buses in a power system. The OPF deals with finding an optimal operating point of a power system that minimizes the cost function in terms of generation cost or transmission loss. The goal of OPF is to find the optimal settings of a given power system network that optimizes a certain objective function while satisfying its power flow equations, system security, and equipment operating limits. FACTs controllers can also be used to increase the power flow between the buses by connecting them at suitable places in the transmission line. In this paper, a hybrid technique and ANN based OPF with UPFC is proposed. The proposed hybrid technique combines both the PSO and BBO algorithm. The optimal location of UPFC is determined by ANN. The proposed OPF technique tested with IEEE 30 bus system and the optimal power flow is analyzed.

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Optimal placement of UPFC in power systems using immune algorithm

Cited by 34 publications

References 32 publications

UPFC Device: Optimal Location and Parameter Setting to Reduce Losses in Electric-Power Systems Using a Genetic-algorithm Method

UPFC Device: Optimal Location and Parameter Setting to Reduce Losses in Electric-Power Systems Using a Genetic-algorithm Method

Optimal placement method of multi UPFCs to damp power system oscillations

Optimal power flow using hybrid technique and ANN with FACTS controller

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