Enhancing power system transient stability using optimal unified power flow controller based on Lyapunov control strategy

Pour, P. Avaz; Ara, Afshin Lashkar; Niaki, S.A. Nabavi

doi:10.24200/sci.2017.4127

Cited by 4 publications

(4 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The real superlative power can be conveyed when δP r /δZ L = 0 that leads into Z L /Z s = 1. Substitute it in Equation (29),…”

Section: Voltage Collapse Proximity Index Methodsmentioning

confidence: 99%

“…Algorithms based on the hunting behaviour of grasshoppers [27] and salpidae [28] have been developed recently. A unified power flow controller based on the Lyapunov control method was proposed [29] to improve transient stability. A symbiotic organism search algorithm was adopted [30,31] to find static optimal power flow and economic load dispatch problems with a valve point.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Optimal reactive power planning using oppositional grey wolf optimization by considering bus vulnerability analysis

Babu¹,

Raj

Dey

et al. 2021

Energy Conversion and Econom

View full text Add to dashboard Cite

Power system instability primarily results from the deviation of the frequency from its predefined rated value. This deviation causes voltage collapse, which further leads to sudden blackouts of the power system network. It is often triggered by a lack of reactive capacity. The solution to the reactive capacity problem can be obtained in two stages. In the first stage, the vulnerable buses, also known as ‘weak buses’, where voltage failure might occur are identified, and the Var compensating devices are mounted at those locations. The proposed approach utilizes three simple vulnerable bus detection methods: the fast voltage stability index, line stability index, and voltage collapse proximity index (VCPI). In the second stage, various optimization algorithms are implemented to determine the optimal setting of Var sources, such as particle swarm optimization, differential evolution, the whale optimization algorithm, the grasshopper optimization algorithm, the salp swarm algorithm, grey wolf optimization, and oppositional grey wolf optimization (OGWO). The results indicate that the best approach to poor bus recognition is the VCPI, and the OGWO technique provides a much less expensive system than other optimization strategies used for problems of optimal reactive power planning.

show abstract

“…The real superlative power can be conveyed when δP r /δZ L = 0 that leads into Z L /Z s = 1. Substitute it in Equation (29),…”

Section: Voltage Collapse Proximity Index Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimal reactive power planning using oppositional grey wolf optimization by considering bus vulnerability analysis

Babu¹,

Raj

Dey

et al. 2021

Energy Conversion and Econom

View full text Add to dashboard Cite

show abstract

“…Saurav Raj and Biplab Bhattacharyya [7] demostrated that effective positioning of shunt capacitors and proper planning of existing reactive sources result in loss minimization, improved bus voltage, and reduced power system operating costs. The Lyapunov control method was proposed to improve the transient stability with the Unified Power Flow Controller (UPFC) [8]. Optimizing the control parameters results in a reduction of real power loss, as verified in [9].…”

Section: S Perez-london Et Al Have Proposed Contingency Ranking By Co...mentioning

confidence: 98%

FACTS placement for reactive power planning with weak node constraints using an improved symbiotic search algorithm

Gupta,

Mishra,

Babu

2023

TESEA

View full text Add to dashboard Cite

In this paper, an economically feasible and reliable operation of the IEEE 57 bus system for Optimal Power Flow (OPF) is proposed. The Improved Symbiotic Organisms Search (ISOS) algorithm is proposed for effective reactive power planning as an OPF issue. Further, the optimal position of Flexible AC Transmission Systems (FACTS) is taken into consideration, by including the existing system controlling variables like reactive power generators output, transformer tapping and capacitors connected at shunt. The objective of the work is two-fold; i.e., to reduce the energy loss and to enhance the voltage profile within the prescribed limit by ensuring the economic operation and investment cost of FACTS in the system. In this work, two FACTS devices like Static Var Compensator (SVC) and Thyristor-Controlled Series Controller (TCSC) have been taken into consideration. Voltage sensitivity indicator and reactive power flow are two tools that are utilised in order to locate weak nodes for the implementation of FACTS. Finally, the performance of the ISOS algorithm is compared with that of three other state- of-the -art optimization techniques, such as, Symbiotic Organisms Search (SOS), Differential Evolution (DE) and Teaching Learning Based Optimization (TLBO). A Non-parametric statistical analysis is also performed to investigate the dominance of the ISOS algorithm over others.

show abstract

“…Various types of FACTS devices are widely used in modern day power systems based on the requirement. Placement of FACTS devices at an appropriate location provides a good solution to blackout prevention [10][11]. Several computational intelligence techniques have been implemented for optimal placement and tuning of FACTS devices to overcome contingency problem [12][13][14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Composite Severity Indices Based Contingency Management of Power System: A Comparative Study

Mishra

Kumar

2016

JERA

View full text Add to dashboard Cite

Severity assessment of transmission lines is a very important aspect of contingency analysis of a power system. Thereafter, a proper solution needs to be provided to ensure a secured power supply. In this paper, rapid contingency ranking technique (RCRT) has been introduced for the contingency assessment of a power system. Several composite indices have been designed by forming different combinations of line overload indices and voltage stability indices and the results have been compared. Deterministic and probabilistic approach have been used for the placement of IPFC and the results have been compared. While, the probability approach protects the system against most of the contingencies, the deterministic approach protects the system against the severe-most contingency. Thereafter, the IPFC is tuned using the differential evolution method. A multi-objective function has been formulated for tuning the device. The use of IPFC to overcome the post-contingency problems has been reinforced by implementing the proposed strategy on an IEEE 57 bus system.

show abstract

Enhancing power system transient stability using optimal unified power flow controller based on Lyapunov control strategy

Cited by 4 publications

References 19 publications

Optimal reactive power planning using oppositional grey wolf optimization by considering bus vulnerability analysis

Optimal reactive power planning using oppositional grey wolf optimization by considering bus vulnerability analysis

FACTS placement for reactive power planning with weak node constraints using an improved symbiotic search algorithm

Composite Severity Indices Based Contingency Management of Power System: A Comparative Study

Contact Info

Product

Resources

About