Evolutionary optimization techniques for optimal location and parameter setting of TCSC under single line contingency

Rashed, Ghamgeen Izat; Shaheen, H.I.; Duan, Xianzhong; Shi, Cheng

doi:10.1016/j.amc.2008.05.022

Cited by 22 publications

(16 citation statements)

References 24 publications

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“…Simplicity and fast convergence rate is the important characteristic of this technique [35]. PSO has the flexibility than other heuristic algorithms to control the balance between the global and local configuration of the search space.…”

Section: Description Of the Implemented Particle Swarm Optimization Tmentioning

confidence: 99%

Transient Stability Analysis of Power System by Coordinated PSS-AVR Design Based on PSO Technique

Falehi¹,

Rostami²,

Mehrjadi³

2011

ENG

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In this paper, Power System Stabilizer (PSS) and Automatic Voltage Regulator (AVR) are coordinated to improve the transient stability of generator in power system. Coordinated design problem of AVR and PSS is formulated as an optimization problem. Particle Swarm Optimization (PSO) technique is an advanced robust search method by the swarming or cooperative behavior of biological populations mechanism. The performance of PSO has been certified in solution of highly non-linear objectives. Thus, PSO technique has been employed to optimize the parameters of PSS and AVR in order to reduce the power system oscillations during the load changing conditions in single-machine, infinite-bus power system. The results of nonlinear simulation suggest that, by coordinated design of AVR and PSS based on PSO technique power system oscillations are exceptionally damped. Correspondingly, it's shown that power system stability is superiorly enhanced than the uncoordinated designed of the PSS and the AVR controllers.

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Section: Description Of the Implemented Particle Swarm Optimization Tmentioning

confidence: 99%

Transient Stability Analysis of Power System by Coordinated PSS-AVR Design Based on PSO Technique

Falehi¹,

Rostami²,

Mehrjadi³

2011

ENG

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“…The proper candidate location for TCSC installation is line 1-5 as listed in Table 11. Clearly, the number of branches which need to be investigated to determine the best location of TCSC has reduced from 17 branches to one branch in the minimum cut as shown in Table 11 which is less than as compared with [33]. Thus, the search space for the solution of PSO and CSA to determine the best location and best setting of TCSC is dramatically reduced.…”

Section: Modified Ieee 14-bus Test Systemmentioning

confidence: 99%

“…In order to improve the power system static security, the TCSCs and SVCs should be installed properly so as to eliminate or relieve the overloaded lines and maintain the bus voltages at a desired [25,33] can be considered to minimize:…”

Section: Objective Functionmentioning

confidence: 99%

“…In [32], PSO is employed for solving the security enhancement problem by optimal location of TCSCs. In [33], two evolutionary optimization techniques namely, GA and PSO, are applied for seeking the best location with the optimal setting of TCSC under single line contingency to improve the system security by eliminating or minimizing line overloads and bus voltage violations. In [34], a differential evolution (DE) algorithm is applied for finding the best location with parameter setting of UPFCs for enhancing power system security under single line contingencies.…”

Section: Introductionmentioning

confidence: 99%

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A Hybrid Approach for Power System Security Enhancement via Optimal Installation of Flexible AC Transmission System (FACTS) Devices

et al. 2017

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Abstract:Increasing demand for electricity has placed heavy stress on power system security. Therefore, this paper focuses on the problem of how to maximize power system static security in terms of branch loading and voltage level under normal operation and even the most critical single line contingency conditions. This paper proposes a hybrid approach to find out the optimal locations and settings of two classical types of flexible AC transmission system (FACTS) devices, namely thyristor-controlled series compensators (TCSCs) and static var compensators (SVCs) for solving this problem. Our proposed approach requires a two-step strategy. Firstly, the min cut algorithm (MCA) and tangent vector technique (TVT) are applied to determine the proper candidate locations of TCSC and SVC respectively so as to reduce the search scope for a solution to the problem, and then the cuckoo search algorithm (CSA) is employed to solve this problem by simultaneously optimizing the locations and settings for TCSC and SVC installation. The proposed hybrid approach has been verified on the IEEE 6-bus and modified IEEE 14-bus test systems. The results indicate that CSA outperforms particle swarm optimization (PSO), proving its effectiveness and potential, and they also show that our proposed hybrid approach can find the best locations and settings for TCSC and SVC devices as an effective way for enhancing power system static security by removing or alleviating the overloads and voltage violations under normal operation and even the most critical single line contingency conditions. Using this hybrid approach, the search space for solution to the problem becomes limited hence the computational burden will be decreased.

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“…In [12] they proposed a method based GA and PSO to find the optimal location and optimal parameter setting of TCSC device under single contingency. In [13] authors proposed an evolutionary-programming-based load flow algorithm for systems containing unified power flow controllers.…”

Section: Introductionmentioning

confidence: 99%

Strategy based PSO for Dynamic Control of UPFC to Enhance Power System Security

Mahdad¹,

Bouktir²,

Srairi³

2009

Journal of Electrical Engineering and Technology

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-Penetration and installation of a new dynamic technology known as Flexible AC Transmission Systems (FACTS) in a practical and dynamic network requires and force expert engineer to develop robust and flexible strategy for planning and control. Unified Power Flow Controller (UPFC) is one of the recent and effective FACTS devices designed for multi control operation to enhance the power system security. This paper presents a dynamic strategy based on Particle Swarm Optimization (PSO) for optimal parameters setting of UPFC to enhance the system loadability. Firstly, we perform a multi power flow analysis with load incrementation to construct a global database to determine the initial efficient bounds associated to active power and reactive power target vector. Secondly a PSO technique applied to search the new parameters setting of the UPFC within the initial new active power and reactive power target bounds. The proposed approach is implemented with Matlab program and verified with IEEE 30-Bus test network. The results show that the proposed approach can converge to the near optimum solution with accuracy, and confirm that flexible multi-control of this device coordinated with efficient location enhance the system security of power system by eliminating the overloaded lines and the bus voltage violation.

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Evolutionary optimization techniques for optimal location and parameter setting of TCSC under single line contingency

Cited by 22 publications

References 24 publications

Transient Stability Analysis of Power System by Coordinated PSS-AVR Design Based on PSO Technique

Transient Stability Analysis of Power System by Coordinated PSS-AVR Design Based on PSO Technique

A Hybrid Approach for Power System Security Enhancement via Optimal Installation of Flexible AC Transmission System (FACTS) Devices

Strategy based PSO for Dynamic Control of UPFC to Enhance Power System Security

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