Dynamic state power system fault monitoring and protection with phasor measurements and fuzzy based expert system

Ponnala, Ravi; Chakravarthy, M.; Lalitha, S. V. N. L.

doi:10.11591/eei.v11i1.3585

Cited by 5 publications

(4 citation statements)

References 7 publications

(8 reference statements)

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“…Patients who show symptoms of Influenza to verify that they are infected with the Coronavirus, commonly identified as COVID-19 [7]. A study as in [8] aims to build a small microgrid testing system with multiple sources and a few loads with different types of resistive (R), capacitive (C), and inductive (L) elements equalized. There are many process threat factors on the network when exchanging data between devices [9].…”

Section: Introductionmentioning

confidence: 99%

Application of Forward Chaining Method, Certainty Factor, and Bayes Theorem for Cattle Disease

Putra,

Fadlil,

Umar

2024

Int. J. Adv. Sci. Eng. Inf. Technol.

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Indonesia is a country that has many natural resources, especially mammals. The Papua and West Papua regions are large provinces with abundant natural resources and tremendous livestock potential. The availability of natural resources in the form of live cattle provides a great opportunity to develop animal husbandry in West Papua province. This research was conducted to create a new expert system with a knowledge base to solve the problems that occur and be useful for the community, especially cattle breeders. The current problem is the delay and lack of medical personnel in diagnosing cattle diseases, the distance that must be traveled, which is still very difficult to travel, and the lack of understanding of farmers in early handling when implications indicate animals. So, the Certainty Factor Method and Bayes Theorem with Forward-Chaining search are used to handle current problems. From the results of manual calculations, Certainty Factor Forward Chaining search is a method that has an uncertainty value of 99.84% for 3-day fever compared to Bayes Theorem Forward Chaining search with a value of 50% for worms, 50% for 3-day fever and 50% for nail rot, if applied then Certainty Factor Forward Chaining search is the most appropriate. Likewise, updating the knowledge base must be done from time to time. So that in the future, it can be compared with other methods and Android-based to facilitate current breeders.

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Section: Introductionmentioning

confidence: 99%

Application of Forward Chaining Method, Certainty Factor, and Bayes Theorem for Cattle Disease

Putra,

Fadlil,

Umar

2024

Int. J. Adv. Sci. Eng. Inf. Technol.

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“…Because when the electrical power generation and load demand mismatch then there is a change in the magnitude of the voltage phase angle and frequency. For satisfactory operation of power system all the above variables should monitor properly [3], [4]. For this, phasor measurement unit (PMU) is a perfect device to measure all the above/mentioned parameters [5], [6].…”

Section: Introductionmentioning

confidence: 99%

Performance and comparison of different phasor calculation techniques for the power system monitoring

Ponnala

Chakravarthy²,

Lalitha³

2022

Bulletin EEI

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Day to day to electrical power demand increases very rapidly with linear and non-linear load demands. Especially the nonlinear loads are creating the harmonics in the current and voltage signals. The current and voltage signal values are measured with the phasor measurement unit (PMU) for the proper magnitude and phase angle calculation even in the presence of harmonic components in the signals. The performance of the PMU is depending upon the phasor calculation technique. Different technique/methods are available for the phasor calculation, from the method to method there is difference in the accuracy, phasor computation time and complexity. In this paper various techniques for phasor calculation are presented. For better performance of PMU, more accurate and less computation time for phasor calculation technique is required. But in real time, accuracy and speed both may not satisfied with single technique. Need to find a satisfactory technique, which satisfies the speed of phasor computation and accuracy. In this paper it is proposed that direct phasor estimation technique, which gives the better results in terms of accuracy and time and this method, satisfies the requirements for the dynamic monitoring of power system according to the IEEE std. C37.118.1-2011.

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“…Due to the improper planning and indefinite expansion to meet the demand, the power system network became complex to operate. The present technology supervisory control and data acquisition (SCADA) and express mail service (EMS) which is used for the measurements and monitoring the power system is having the limitations of inaccurate measurements, slower reporting rates which are in the range of once in 4-6 seconds [1], [2] and does not possess common reference time at the measurement stations for the accurate phase comparison between the different stations [3]. The advanced technology phasor measurements with time stamp will overcome the limitations of the SCADA and EMS system [4].…”

Section: Introductionmentioning

confidence: 99%

Effective monitoring of power system with phasor measurement unit and effective data storage system

Ponnala

Chakravarthy²,

Lalitha

2022

Bulletin EEI

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In the recent years the monitoring and operation of the power system became complex, due to the more demand from the different linear and non-linear loads and generation from the different sources. For the effective monitoring and operation of the power system, existing power system monitoring methods need to improve or new technologies are required. For the effective monitoring and operation of the power system phasor measurement unit (PMU) based monitoring is suitable, because it provide the dynamic state monitoring system. In this paper PMU based monitoring is proposed with effective data storage system and protection. With this method phasor values of voltage and current signals are calculated at the location of PMU and with the help of software based program effective data storage also possible. With this proposed model the phasor values in the power system at different locations monitoring also possible and required phasor data only stored and total data is only monitored. The phasor values of signals are calculated with direct phasor measurement technique in LabVIEW and by adding time stamping to the each phasor value accurate measurement of power flow is possible.

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Dynamic state power system fault monitoring and protection with phasor measurements and fuzzy based expert system

Cited by 5 publications

References 7 publications

Application of Forward Chaining Method, Certainty Factor, and Bayes Theorem for Cattle Disease

Application of Forward Chaining Method, Certainty Factor, and Bayes Theorem for Cattle Disease

Performance and comparison of different phasor calculation techniques for the power system monitoring

Effective monitoring of power system with phasor measurement unit and effective data storage system

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