Artificial neural network based contingency ranking method for voltage collapse

Wan, Haibin; Ekwue, A.O.

doi:10.1016/s0142-0615(99)00065-4

Cited by 22 publications

(7 citation statements)

References 10 publications

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“…The IPFC branch active and reactive power flows leaving bus n are P ni and Q ni and the expressions are given in Eqs. (3) and (4). I ji , I ki are the IPFC branch currents of branch j-i and k-i leaving bus j and k, respectively.…”

Section: Mathematical Model Of Ipfcmentioning

confidence: 99%

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A Redundancy Based Optimal Placement of Interline Power Flow Controller Using Composite Severity Index for Contingency Management

Mishra¹,

Kumar

2015

Period. Polytech. Elec. Eng. Comp. Sci.

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Contingency assessment is an essential task for the stable and reliable operation of a power system as it predicts the effect of outages in transmission lines and generator units. In this paper, a recurrence of severity based placement strategy for Interline Power Flow Controller (IPFC) has been proposed. Contingency ranking of the lines has been done using Composite Severity Index. A probabilistic based strategy has been adopted for the placement of IPFC. IPFC is placed on the line which has the highest probability of severity during the occurrence for different outages. To verify the proposed methodology, it has been tested on IEEE 14 and 30 bus system. The load on the bus with highest load is further increased gradually up to the critical value and the results have been presented and analyzed to ascertain the effectiveness of IPFC for contingency management.

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Section: Mathematical Model Of Ipfcmentioning

confidence: 99%

“…Several steady state and dynamic contingency ranking methods are used for contingency screening [1][2][3][4][5][6]. During system disturbances, system stability becomes vulnerable and there is a high risk of moving towards global instability or total collapse or blackout if preventive actions are not taken quickly.…”

Section: Introductionmentioning

confidence: 99%

A Redundancy Based Optimal Placement of Interline Power Flow Controller Using Composite Severity Index for Contingency Management

Mishra¹,

Kumar

2015

Period. Polytech. Elec. Eng. Comp. Sci.

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“…Degree of importance of each criterion depends on the burden borne by each school. Relative value is directly proportional to the number of candidates sitting for specific subjects [9]. This clearly shows the value of a higher weight should be given to the criteria that have more number of candidates because it brings an additional burden to ensure that each candidate can understand the subject well.…”

Section: Empirical Studymentioning

confidence: 99%

A fuzzy MCDM approach for evaluating school performance based on linguistic information

Musani¹,

Jemain²

2013

AIP Conference Proceedings

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Abstract. Decision making is the process of finding the best option among the feasible alternatives. This process should consider a variety of criteria, but this study only focus on academic achievement. The data used is the percentage of candidates who obtained Malaysian Certificate of Education (SPM) in Melaka based on school academic achievement for each subject. 57 secondary schools in Melaka as listed by the Ministry of Education involved in this study. Therefore the school ranking can be done using MCDM (Multi Criteria Decision Making) methods. The objective of this study is to develop a rational method for evaluating school performance based on linguistic information. Since the information or level of academic achievement provided in linguistic manner, there is a possible chance of getting incomplete or uncertain problems. So in order to overcome the situation, the information could be provided as fuzzy numbers. Since fuzzy set represents the uncertainty in human perceptions. In this research, VIKOR (Multi Criteria Optimization and Compromise Solution) has been used as a MCDM tool for the school ranking process in fuzzy environment. Results showed that fuzzy set theory can solve the limitations of using MCDM when there is uncertainty problems exist in the data.

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“…Several steady state and dynamic contingency ranking methods are used for contingency screening [1][2][3][4][5][6][7][8][9]. Due to instability in the system during system disturbances, the system is at a high risk of moving toward global instability or blackout if preventive actions are not taken quickly.…”

Section: Introductionmentioning

confidence: 99%

A Fast Contingency Management Approach with Optimal Placement and Tuning of Interline Power Flow Controller Using Differential Evolution Algorithm

Mishra

Kumar

2016

Electric Power Components and Systems

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Artificial neural network based contingency ranking method for voltage collapse

Cited by 22 publications

References 10 publications

A Redundancy Based Optimal Placement of Interline Power Flow Controller Using Composite Severity Index for Contingency Management

A Redundancy Based Optimal Placement of Interline Power Flow Controller Using Composite Severity Index for Contingency Management

A fuzzy MCDM approach for evaluating school performance based on linguistic information

A Fast Contingency Management Approach with Optimal Placement and Tuning of Interline Power Flow Controller Using Differential Evolution Algorithm

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