Development of an intelligent system for preventing large-scale emergencies in power systems

Negnevitsky, Michael; Воропай, Н.И.; Kurbatsky, Victor; Tomin, Nikita; Panasetsky, Daniil

doi:10.1109/pesmg.2013.6672099

Cited by 38 publications

(20 citation statements)

References 11 publications

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“…This pushes transformer taps towards their maximum [6,8]. Generators reach their reactive power limits.…”

Section: Voltage Securitymentioning

confidence: 99%

“…Then, for a given load condition , the measure of the closeness of the power system to the voltage stability limit. In this case, the following powermargin for the overall system can be defined: (6) Moreover, for the j-th load bus of the power system the following power-margin can be considered (7) Analogously, for the j-th load bus, the following voltagemargin is defined (8) where is the voltage magnitude at bus , and the critical value reached when…”

Section: B Voltage Stability Indicators and Marginsmentioning

confidence: 99%

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A hybrid artificial neural network for voltage security evaluation in a power system

Жуков

Tomin

Sidorov

et al. 2015

2015 5th International Youth Conference on Energy (IYCE)

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A majority of recent large-scale blackouts have been the consequence of instabilities characterized by sudden voltage collapse phenomena. This paper presents a method for voltage instability monitoring in a power system with a hybrid artificial neural network which consist of a multilayer perceptron and the Kohonen neural network. The proposed method has a couple of the following functions: the Kohonen network is used to classify the system operating state; the Kohonen output patterns are used as inputs to train of a multilayer perceptron for identification of alarm states that are dangerous for the system security. The approach is targeting a blackout prevention scheme; given that the blackout signal is captured before it can collapse the power system. The proposed method is realized in R and demonstrated the modified IEEE One Area RTS-96 power system.Index Terms-power system, voltage instability, artificial neural network, power security, emergency

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“…This pushes transformer taps towards their maximum [6,8]. Generators reach their reactive power limits.…”

Section: Voltage Securitymentioning

confidence: 99%

Section: B Voltage Stability Indicators and Marginsmentioning

confidence: 99%

A hybrid artificial neural network for voltage security evaluation in a power system

Жуков

Tomin

Sidorov

et al. 2015

2015 5th International Youth Conference on Energy (IYCE)

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“…One of the main provisions of this concept is the introduction of Flexible Alternative Current Transmission System (FACTS) devices allowing transforming the largely passive electric network to activeadaptive and dramatically improving controllability in order to increase the capacity of power lines, improve the quality of electric energy, sustainability, ensuring efficient and reliable functioning of the EPS [2,3].…”

Section: Introductionmentioning

confidence: 99%

“…Accordingly, the working conditions of electric power equipment, relay protection system, technological and emergency control automatics, and, consequently, the setting of these systems is changed significantly and dynamically [3,4].…”

Section: Introductionmentioning

confidence: 99%

Intelligent Electric Power Systems with Active-Adaptive Electric Networks: Challenges for Simulation Tools

Ufa

Sulaymanova

Borovikov

2015

MATEC Web of Conferences

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Abstract. The motivation of the presented research is based on the needs for development of new methods and tools for adequate simulation of intelligent electric power systems with active-adaptive electric networks (IES) including Flexible Alternating Current Transmission System (FACTS) devices. The key requirements for the simulation were formed. The presented analysis of simulation results of IES confirms the need to use a hybrid modelling approach.

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“…MAS has been applied in many fields of power engineering including fault diagnosis, network control, power system restoration, automation and market simulation [10]. MAS has also been applied for the management of demand responses and distributed storage in micro-grid [11], [13], a wide area current differential protection system [12], and a combined preventive and corrective power system emergency control [14].…”

Section: Introductionmentioning

confidence: 99%

A decentralized multi-agent based voltage control for catastrophic disturbances in a power system

Islam

Sutanto

Muttaqi

2013

2013 IEEE Industry Applications Society Annual Meeting

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In this paper, a multiagent-based voltage and reactive power control in the case of a multiple contingency is presented. Incorporating the agent-based autonomous feature to the intelligence of the remote terminal units, the present power system control structure can be used to help in preventing system voltage collapse during catastrophic disturbances. The control algorithm is based on a decentralized architecture of intelligent agents and the determination of a local zone that can carry out quick countermeasures in a decentralized manner as a multiagent system (MAS) during an emergency situation. An adaptive determination of the local zones undergoing voltage collapse has been developed based on the electrical distances among the generators and loads. Once assigned, the elements of the Jacobian matrix can be used to determine the optimum actions that need to be carried out at each power system element (such as increasing the voltages of generators and load shedding) within the assigned local zone. The contract net protocol is used for agent interactions. Simulation results using the IEEE-57 bus system show that the proposed method can act quickly to respond to emergency conditions to ensure that voltage collapse can be avoided. This journal article is available at Research Online: http://ro.uow.edu.au/eispapers/4674 1 Abstract--In this paper, a multi-agent based voltage and reactive power control in the case of a multiple contingency is presented. Incorporating the agent based autonomous feature to the intelligence of the Remote Terminal Units (RTUs), the present power system control structure can be used to help in preventing system voltage collapse during catastrophic disturbances. The control algorithm is based on a decentralized architecture of intelligent agents and the determination of a local zone that can carry out quick countermeasures in a decentralized manner as a multi-agent system (MAS) during an emergency situation. An adaptive determination of the local zones undergoing voltage collapse has been developed based on the electrical distances among the generators and loads. Once assigned, the elements of the Jacobian matrix can be used to determine the optimum actions that need to be carried out at each power system element (such as increasing the voltages of generators and load shedding) within the assigned local zone. The contract-net-protocol (CNP) is used for agent interactions. Simulation results using IEEE-57 bus system show that the proposed method can act quickly to respond to emergency conditions to ensure that voltage collapse can be avoided.

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Development of an intelligent system for preventing large-scale emergencies in power systems

Cited by 38 publications

References 11 publications

A hybrid artificial neural network for voltage security evaluation in a power system

A hybrid artificial neural network for voltage security evaluation in a power system

Intelligent Electric Power Systems with Active-Adaptive Electric Networks: Challenges for Simulation Tools

A decentralized multi-agent based voltage control for catastrophic disturbances in a power system

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