Agent model of multi-agent system for area power system protection

Halinka, A.; Rzepka, P.; Szablicki, M.

doi:10.1109/meps.2015.7477185

Cited by 18 publications

(5 citation statements)

References 1 publication

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“…This will significantly increase the reliability of data acquisition from the CEMs, which are the territorially dispersed MO measurement elements. An exemplary structure of an Multi-Agent of such a system is characterized in [15].…”

Section: The Vpc Applicationmentioning

confidence: 99%

The idea of non-restricted use of LV networks by electricity consumers, producers, and prosumers

et al. 2019

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Until now, electricity users are being connected to the LV networks by a physical electricity consumption point. In this point an electricity meter is assigned to each and every one user. A given user may use the flowing electricity only by the meter assigned to him at the consumer-specific point. This is a significant limitation in the non- restricted access to the power network. The Authors come with an idea to eliminate this restriction. The paper presents the concept of virtualization of a physical point of electric power consumption in a LV network. The proposed novel idea of using the power network will ensure the expected non-restricted access to any point of the power network for users. This seems particularly important nowadays and is dictated by the growing expectations of users’ mobility. The presented concept is dedicated especially to networks in the form of clusters (cooperatives) or energy clouds. Its application in LV networks will significantly simplify the users’ use of the power infrastructure, also in the aspect of financial settlements. This should also contribute to the rapid significant development of electro- mobility.

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Section: The Vpc Applicationmentioning

confidence: 99%

The idea of non-restricted use of LV networks by electricity consumers, producers, and prosumers

et al. 2019

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“…Neural network (NN) is growing at a fast pace and has been employed by researchers for classification in many applications area [52]. It is a system of interconnected neurons that has input layer, hidden layer and output layer [53].…”

Section: ) Neural Networkmentioning

confidence: 99%

Review on Predicting Students’ Graduation Time Using Machine Learning Algorithms

Suhaimi¹,

Abdul-Rahman²,

Mutalib³

et al. 2019

IJMECS

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Nowadays, the application of data mining is widely prevalent in the education system. The ability of data mining to obtain meaningful information from meaningless data makes it very useful to predict students' achievement, university's performance, and many more. According to the Department of Statistics Malaysia, the numbers of student who do not manage to graduate on time rise dramatically every year. This challenging scenario worries many parties, especially university management teams. They have to timely devise strategies in order to enhance the students' academic achievement and discover the main factors contributing to the timely graduation of undergraduate students. This paper discussed the factors utilized by other researchers from previous studies to predict students' graduation time and to study the impact of different types of factors with different prediction methods. Taken together, findings of this research confirmed the usefulness of Neural Network and Support Vector Machine as the most competitive classifiers compared with Naï ve Bayes and Decision Tree. Furthermore, our findings also indicate that the academic assessment was a prominent factor when predicting students' graduation time.

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“…It is predicted that it will significantly increase the correctness of the AC network status identification. An exemplary structure of an agent of such a system is defined and described in [15].…”

Section: Decisionmentioning

confidence: 99%

An alternative approach to provisions of the Network Code on blocking HVDC LCC systems during short-circuits in AC network

et al. 2019

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The Network Code for HVDC systems introduces a requirement for such systems to remain in operation in an AC network during short-circuits. This requirement (among others) is determined by a time curve of a minimum voltage in HVDC connection point. The HVDC system is not allowed to be turned-off while the voltage value exceeds the values of the curve, however the HVDC system in LCC technology does not meet this requirement. The Network Code introduces the possibility of blocking the LCC systems. After the LCC system is blocked it stops transmitting the power, which prevents the LCC system from being turned off during a short-circuit in the network but results in a lack of power exchange between the network and the LCC system. Therefore, the authors developed a proposal to limit the power level being transmitted by the LCC system, thus there is no necessity to block the LCC system operation. The simulation research carried out clearly indicate the validity of this idea. In addition, the authors presented the concept of an automation system that adaptively adjusts the scale of the LCC system power level reduction to change the network operating conditions during a short-circuit in the network. The operation of this automation system is presented for the practical LCC system model installed in the Polish Power System.

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Agent model of multi-agent system for area power system protection

Cited by 18 publications

References 1 publication

The idea of non-restricted use of LV networks by electricity consumers, producers, and prosumers

The idea of non-restricted use of LV networks by electricity consumers, producers, and prosumers

Review on Predicting Students’ Graduation Time Using Machine Learning Algorithms

An alternative approach to provisions of the Network Code on blocking HVDC LCC systems during short-circuits in AC network

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