Undervoltage load shedding using global voltage collapse index

Klarić, Mario; Kuzle, Igor; Tešnjak, Sejid

doi:10.1109/psce.2004.1397491

Cited by 12 publications

(5 citation statements)

References 2 publications

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“…The most important of course is enlarging of reactive power capacity in critical zones. As discussed in [13] the potential problem of voltage instability and subsequent voltage collapse is a consequence of lack of reactive power support (locally or globally). Also the location and type of available reactive power sources too play a vital role.…”

Section: Undervoltage Load Sheddingmentioning

confidence: 99%

Under Voltage Load Shedding for Contingency Analysis to Optimize Power Loss and Voltage Stability Margin

Rai¹,

Kumar²,

Agnihotri³

2014

ELELIJ

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Power system contingency is a condition of operation which may be caused due to line outage in a system and could lead to entire system voltage instability. This may further result in voltage collapse leading to total blackout of the system. Therefore, voltage collapse prediction and estimating voltage stability margin is an important task in power system operation and planning. In this paper Line Stability Index Lij utilizing the concept of power flow in a single line is adopted to determine the condition of voltage instability. The purpose of Lij is to determine the point of voltage instability, the weakest bus in the system and the critical line referred to a bus. Analytical approach based technique for load shedding has been developed as a solution for secured operation of power system under various contingency conditions to optimize the power flow in order to minimize the system losses within acceptable limit. To validate the effectiveness of the proposed method simulation has been carried out on IEEE 14 bus system.

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Section: Undervoltage Load Sheddingmentioning

confidence: 99%

Under Voltage Load Shedding for Contingency Analysis to Optimize Power Loss and Voltage Stability Margin

Rai¹,

Kumar²,

Agnihotri³

2014

ELELIJ

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“…A sudden increase in load, loss of a heavily loaded transmission line, failure in protective coordination system or insufficient reactive power supply could lead to voltage collapse or in more serious cases can lead to cascading outages and blackouts. Several major voltage collapse cases had been reported in France in 1987, Sweden in 1983, in Japan in 1987 [3], in the USA in 1996 and 2003 [4,5], Italy in 2003 [5], and England in 2003 [5].…”

Section: Introductionmentioning

confidence: 99%

Voltage Stability Prediction on Power System Network via Enhanced Hybrid Particle Swarm Artificial Neural Network

Lim

Mustafa²,

Jamian³

2015

Journal of Electrical Engineering and Technology

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-Rapid development of cities with constant increasing load and deregulation in electricity market had forced the transmission lines to operate near their threshold capacity and can easily lead to voltage instability and caused system breakdown. To prevent such catastrophe from happening, accurate readings of voltage stability condition is required so that preventive equipment and operators can execute security procedures to restore system condition to normal. This paper introduced Enhanced Hybrid Particle Swarm Optimization algorithm to estimate the voltage stability condition which utilized Fast Voltage Stability Index (FVSI) to indicate how far or close is the power system network to the collapse point when the reactive load in the system increases because reactive load gives the highest impact to the stability of the system as it varies. Particle Swarm Optimization (PSO) had been combined with the ANN to form the Enhanced Hybrid PSO-ANN (EHPSO-ANN) algorithm that worked accurately as a prediction algorithm. The proposed algorithm reduced serious local minima convergence of ANN but also maintaining the fast convergence speed of PSO. The results show that the hybrid algorithm has greater prediction accuracy than those comparing algorithms. High generalization ability was found in the proposed algorithm.

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“…Several incidents occurred worldwide, disrupting national economies and costing millions of dollars in industries. Some of those incidents occurred in the past in Japan, Sweden and France [1] while others have been occurred recently in England, Italy and United States [2,3]. When a power system is operating close to its limitation conditions, the voltage collapse is more likely to occur.…”

Section: Introductionmentioning

confidence: 99%

Power system network sensitivity to Voltage collapse

Althowibi

Mustafa

2012

2012 IEEE International Power Engineering and Optimization Conference

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Preventing voltage collapse occurrences in power systems are a challenging task worldwide. An adequate reactive power supply along with voltage limit violation may lead to blackout. The ability to sense such dynamic change and accurately determine voltage stability indications allows system control to take the necessary action to prevent such incidents. This paper presents efficient indices to calculate voltage stability analysis and predict system voltage collapse. Voltage stability margins can be calculated indicating how far the power system is from its severely loading condition. The proposed method was demonstrated on the 5-bus and IEEE 180-bus systems and compared with existing methods to show its validation and efficiency.

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Undervoltage load shedding using global voltage collapse index

Cited by 12 publications

References 2 publications

Under Voltage Load Shedding for Contingency Analysis to Optimize Power Loss and Voltage Stability Margin

Under Voltage Load Shedding for Contingency Analysis to Optimize Power Loss and Voltage Stability Margin

Voltage Stability Prediction on Power System Network via Enhanced Hybrid Particle Swarm Artificial Neural Network

Power system network sensitivity to Voltage collapse

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