Experimental implementation of Multi-Agent System Algorithm to prevent Cascading Failure after N-1-1 contingency in smart grid systems

Belkacemi, Rabie; Babalola, Adeniyi A.; Zarrabian, Sina

doi:10.1109/pesgm.2015.7286630

Cited by 8 publications

(3 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, in [9] the authors note that the related research commonly ignores the regulation of reactive power and voltage in external power system, which is not conducive to the coordination of VVCs for interconnected power systems. Belkacemi et al [10] concluded that a hybrid method involving both a rule-based approach and optimisation algorithms is recommended for the proper control infrastructure.…”

Section: Problem Statementmentioning

confidence: 99%

“…Decomposition allows to simplify the control problem, minimise the amount of data transferred and financial costs of telemechanisation, as well as, takes into account the structural features of individual subsystems. Any element of a power grid could be modified to be an agent through the addition of the required circuitry and programming that allows two-way communication, sensing and decision-making capabilities independently and locally [10,33]. A decentralised MACS was used in this paper to make the generator agents (GAs) of a power grid interact effectively to prevent voltage collapse.…”

Section: Emergency Vvc Using Macsmentioning

confidence: 99%

See 1 more Smart Citation

Hybrid intelligent technique for voltage/VAR control in power systems

Tomin

Kurbatsky

Reutsky³

2019

IET Generation, Transmission & Distribution

View full text Add to dashboard Cite

Section: Problem Statementmentioning

confidence: 99%

Section: Emergency Vvc Using Macsmentioning

confidence: 99%

Hybrid intelligent technique for voltage/VAR control in power systems

Tomin

Kurbatsky

Reutsky³

2019

IET Generation, Transmission & Distribution

View full text Add to dashboard Cite

“…The earliest intelligent technology for dispatcher adviser represented expert systems that were certain continuation and development of a situational modeling methodology [3,4]. The development of dispatcher adviser intelligent systems involved the approaches based on the machine learning algorithms [1,5] as well as a methodology of distributed artificial intelligence, first of all, multi-agent systems [6].…”

Section: State Of the Artmentioning

confidence: 99%

The Concept of the Deep Learning-Based System "Artificial Dispatcher" to Power System Control and Dispatch

Tomin¹,

Kurbatsky²,

Negnevitsky³

2018

Preprint

View full text Add to dashboard Cite

Year by year control of normal and emergency conditions of up-to-date power systems becomes an increasingly complicated problem. With the increasing complexity the existing control system of power system conditions which includes operative actions of the dispatcher and work of special automatic devices proves to be insufficiently effective more and more frequently, which raises risks of dangerous and emergency conditions in power systems. The paper is aimed at compensating for the shortcomings of man (a cognitive barrier, exposure to stresses and so on) and automatic devices by combining their strong points, i.e. the dispatchers intelligence and the speed of automatic devices by virtue of development of the intelligent system Artificial dispatcher on the basis of deep machine learning technology. For realization of the system Artificial dispatcher in addition to deep learning it is planned to attract the game theory approaches to formalize work of the up-to-date power system as a game problem. The gain for Artificial dispatcher will consist in bringing in a power system in the normal steady-state or postemergency conditions by means of the required control actions.

show abstract