Congestion management by optimal placement of FACTS device

Mandala, Manasarani; Gupta, C. P.

doi:10.1109/pedes.2010.5712387

Cited by 30 publications

(17 citation statements)

References 16 publications

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“…Singh et al, (2001); Kumar, et al, (2005); and Besharat and Taher, (2008) have suggested different methods for congestion management. Minguez et al, (2007) have proposed a method of optimal placement of the IPFC such that the load margin is maximized. Mandala and Gupta (2010) proposed a method to determine the optimal location of Thyristor Controlled Series Compensators (TCSC) for congestion management.…”

Section: Introductionmentioning

confidence: 99%

“…Minguez et al, (2007) have proposed a method of optimal placement of the IPFC such that the load margin is maximized. Mandala and Gupta (2010) proposed a method to determine the optimal location of Thyristor Controlled Series Compensators (TCSC) for congestion management. Metaheuristic Algorithms have been employed for the optimal placement and tuning of FACTS devices to reduce congestion in transmission lines as noted by Reddy et al (2010) and Acharya et al, (2007).…”

Section: Introductionmentioning

confidence: 99%

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Disparity Line Utilization Factor and Galaxy-based Search Algorithm for Advanced Congestion Management in Power Systems

Mishra¹,

Nagesh²,

Gundavarapu³

2016

IJTech

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In this paper a new approach has been used for finding the optimal location for placing the Interline Power Flow Controller (IPFC). The IPFC is used to reduce the system loss and power flow in the heavily loaded lines and improve stability of the system. Here a new method, the Disparity Line Utilization Factor (DLUF) is used for determining the optimal placement of the (IPFC) to control the congestion in transmission lines. The DLUF ranks the transmission lines in terms of line congestion. The IPFC is accordingly placed in between the most congested and the least congested line connected to the same bus. The Galaxy-Based Search Algorithm (GBSA) is used for the optimal sizing of the IPFC. The results obtained by the proposed algorithm have been compared with that of the Genetic Algorithm (GA) to ascertain the effectiveness of the proposed method on the power system performance. The proposed method is tested on an IEEE 30 bus test system. It has been shown that by using the GBSA, the tuning of the IPFC further reduces congestion in the system by about 15%.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Disparity Line Utilization Factor and Galaxy-based Search Algorithm for Advanced Congestion Management in Power Systems

Mishra¹,

Nagesh²,

Gundavarapu³

2016

IJTech

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“…Minguez et al [4] have propose a method of optimal placement of IPFC such that the load margin is maximized. Mandala et al [5], proposed a method to determine the optimal location of thyristor controlled series compensators (TCSCs) for Congestion management. The optimal location is determined based on the real power performance index and based on the reduction in total system active power and reactive power losses.…”

Section: Introductionmentioning

confidence: 99%

Optimal Utilization of IPFC for Congestion Management Using Disparity Line Utilization Factor and Cuckoo Search Algorithm

Mishra¹,

Kumar²

2015

IJCEE

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Abstract:Recently, due to adoption of power reforms there is a marked increase of contracted power that flows in the transmission line and the spontaneous power exchanges leading to complex power transmission congestion problems. Appearance of FACTS devices specifically IPFC has opened up new opportunities to overcome the congestion problem by increasing the system loadability. Proper placement and tuning of IPFC in this respect is very important for maximum utilization of its benefits. This paper proposes a Disparity Line Utilization Factor (DLUF) for the optimal placement of IPFC to control the congestion in transmission lines. DLUF determines the difference between the percentage MVA utilization of each line connected to the same bus. The IPFC is placed in the lines with maximum DLUF. The multi objective function consisting of the reduction of active power loss, minimization of total voltage deviations, and minimization of security margin with the usage of minimum value of installed IPFC is considered for the optimal tuning of IPFC using Cuckoo Search. The proposed method is implemented for IEEE-30 bus test system under different loading conditions and the results are presented and analyzed to ascertain the effectiveness for the reduction of congestion.

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“…Optimizations were carried out based on location, size and number of FACTS devices. A method to determine optimal location of TCSC was suggested by Mandala and Gupta (2010). The environmental and cost problems were taken into account to meet the objective.…”

Section: Introductionmentioning

confidence: 99%

Congestion Management by Optimal Allocation of Facts Controllers Using Hybrid Fish Bee Optimization

Thangalakshmi¹

2014

Journal of Computer Science

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The role of Independent System Operator (ISO) in the restructured power industry includes system control, capacity planning, transmission tariff and congestion management; the challenging task being minimizing the congestion. One of the popular techniques used to alleviate congestion is using Flexible AC Transmission Systems (FACTS) devices. The power system generally operates near its rated capacity in deregulated market because of intensive usage of transmission grids. So, the major issues that need to be addressed are improving the voltage profile and reducing the power loss in the electrical network. Motivation: The location of FACTS devices can improve the power flow in the line, maintain the bus profile and reduce the losses. However locating the ideal location is a NP problem. This study presents a novel heuristic method to determine the types of FACTS devices and its optimal location in a power system without violating the thermal and voltage limits. Power flow sensitivity index to find the optimal location of UPFC is suggested in this study. A hybrid fish bee swarm optimization is proposed which is based on Artificial Bee Colony (ABC) and Fish School Search (FSS) methods. This proposed algorithm is tested based on IEEE 30 bus system and line performances are studied.

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Congestion management by optimal placement of FACTS device

Cited by 30 publications

References 16 publications

Disparity Line Utilization Factor and Galaxy-based Search Algorithm for Advanced Congestion Management in Power Systems

Disparity Line Utilization Factor and Galaxy-based Search Algorithm for Advanced Congestion Management in Power Systems

Optimal Utilization of IPFC for Congestion Management Using Disparity Line Utilization Factor and Cuckoo Search Algorithm

Congestion Management by Optimal Allocation of Facts Controllers Using Hybrid Fish Bee Optimization

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