Optimal placement of TCSC for total transfer capability enhancement using particle swarm optimization

Joshi, S. K.; Pandya, Kartik S.

doi:10.1049/cp.2009.1736

Cited by 4 publications

(7 citation statements)

References 9 publications

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“…It can be observed from Table 3 (Column 3) and Table 3 (Column 7) that, the proposed method also captures the best location for the placement of TCSC as compared with the result in [16]. However, the number of branches which need to be investigated to determine the location of TCSC has reduced which is less than as compared with [16].…”

Section: Ieee 30-bus Test Systemmentioning

confidence: 93%

“…The network and load data for IEEE 30-bus are given in [16]. Table 2 shows the test results of bilateral transaction from bus 2 to bus 21.…”

Section: Ieee 30-bus Test Systemmentioning

confidence: 99%

“…However, the number of branches which need to be investigated to determine the location of TCSC has reduced which is less than as compared with [16].…”

Section: Ieee 30-bus Test Systemmentioning

confidence: 99%

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Enhancing Total Transfer Capability via Optimal Location of TCSC in Deregulated Electricity Market

Duong

Yao

et al. 2014

AETA 2013: Recent Advances in Electrical Engineering and Related Sciences

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Abstract. In deregulated electricity market, most of the power transferred through the wheeling transaction. Hence, it is very important and necessary to determine the transfer capability of the transmission system before the power dispatch. Series FACTS devices such as Thyristor controlled series compensators (TCSC), with its ability to directly control the power flow can be very effective to total transfer capability of transmission network. Proper location of TCSC plays key role in improving total transfer capability (TTC). From the viewpoint, this paper focuses on the evaluation of the impact of TCSC on TTC via optimal location. Evaluation total transfer capability using TCSC requires a two-step approach. First, the optimal location of the TCSC in the network must be ascertained by Min cut algorithm and then, the mathematical formulation of TTC using Repeated Power Flow (RPF) with fixed TCSC parameters is solved. The proposed method is tested and validated for locating TCSC in IEEE 14-, IEEE-30 bus test systems. Results show that the proposed method is capable of finding the best location for TCSC installation to improve total transfer capability.

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Section: Ieee 30-bus Test Systemmentioning

confidence: 93%

“…The network and load data for IEEE 30-bus are given in [16]. Table 2 shows the test results of bilateral transaction from bus 2 to bus 21.…”

Section: Ieee 30-bus Test Systemmentioning

confidence: 99%

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Enhancing Total Transfer Capability via Optimal Location of TCSC in Deregulated Electricity Market

Duong

Yao

et al. 2014

AETA 2013: Recent Advances in Electrical Engineering and Related Sciences

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“…Being various, the FACTs equipment has been the subject of concern in numerous studies. According to [6], the optimal placement of TCSC in standard power systems with 30 buses is performed using the PSO algorithm. Te optimal placement aims to achieve the maximum total transfer capability (TTC), minimizing the power loss in uncontrollable or illegal electric power markets via bilateral and multilateral transactions.…”

Section: Introductionmentioning

confidence: 99%

Optimal Coordination of TCSC and PSS2B Controllers in Electric Power Systems Using MOPSO Multiobjective Algorithm

Kamarposhti

Shokouhandeh

Omali

et al. 2022

International Transactions on Electrical Energy Systems

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Oscillations are an intrinsic phenomenon in interconnected power systems, leading to steady-state stability, safety decline, transmission power limitation, and electric power systems’ ineffective exploitation by developing power systems, particularly by connecting these systems to low-load lines. In addition, they affect the economic performance of the systems. In this study, PSS2B power system stabilizers and TCSC compensators are used to improve the stability margin of power systems. In order to coordinate TCSC compensators, the MOPSO multiobjective algorithm with integral of the time-weighted absolute error (ITAE) and figure of demerit (FD) objective functions was used. The MOPSO algorithm optimization results are compared with nondominated sorting genetic algorithm (NSGAII) and multiobjective differential evolution (MODE) algorithms. The optimization results indicated a better performance of the proposed MOPSO algorithm than NSGAII and MODE. The simulations were iterated in two scenarios by creating different loading conditions in generators. The results indicated that the proposed control system, where the coordination between PSS2B power system stabilizers and TCSC compensators using the MOPSO algorithm, is better than power systems in which PSS2B Stabilizers or TCSC compensators are utilized solely. All criteria, e.g., ITAE, FD, maximum deviation range, and the required time for power oscillation damping in hybrid control systems, have been obtained. This means more stability and accurate and proper performance.

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“…The proposed method is tested and validated for locating TCSC and TCPS in IEEE 30‐bus test system. On the other hand, a PSO‐based method has been developed in [29] to find the optimal location and setting of TCSC for simultaneously maximising the total transfer capability and minimising total real power losses of deregulated markets consisting of bilateral and multilateral transactions.…”

Section: Introductionmentioning

confidence: 99%

Optimal allocation of TCSCs by adaptive DE algorithm

Sakr

El‐Sehiemy

Azmy

2016

IET Generation, Transmission & Distribution

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Optimal placement of TCSC for total transfer capability enhancement using particle swarm optimization

Cited by 4 publications

References 9 publications

Enhancing Total Transfer Capability via Optimal Location of TCSC in Deregulated Electricity Market

Enhancing Total Transfer Capability via Optimal Location of TCSC in Deregulated Electricity Market

Optimal Coordination of TCSC and PSS2B Controllers in Electric Power Systems Using MOPSO Multiobjective Algorithm

Optimal allocation of TCSCs by adaptive DE algorithm

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