Adaptive current short-circuit protection in electric systems with distributed generation

Grebchenko, N.V.; Osipov, Denis; Teslya, A.G.; Bozok, J. B.; Koval, I. I.

doi:10.1109/speedam.2016.7525937

Cited by 4 publications

(6 citation statements)

References 2 publications

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“…Studies show that recognising RPA algorithms is often built on the analysis of only one or several SNs [16][17][18]. In the remaining SN, the algorithms are blocked during the development of damage to the OCP and do not recognise the change of SN and SN scenarios.…”

Section: Research Problem Descriptionmentioning

confidence: 99%

“…Studies show that a residual amount of information is present in the situation recognition tree [16][17][18]. Information is captured by the FIX unit and evaluated by other algorithms.…”

Section: Research Problem Descriptionmentioning

confidence: 99%

“…A numerical determination of the equilibrium point of GES schemes is proposed when considering the 'For-Against' problems for OCP and 'selectivity-blocking' using the game theory method [14]. The result is compared with the published solution through the method of dynamic functional modelling [11,17]. This section briefly discusses the algorithm for solving the problem, designed in the form of a computing module.…”

Section: Balancing Structures and Algorithms Using Game Theorymentioning

confidence: 99%

“…In the traditional construction of networks, a great deal of experience has been gained in describing and calculating OCP [6][7]. Usually it is enough to indicate the established terminology and mathematical description of the OCP in the technical literature [15][16][17][18]. A method is necessary for describing the transient process in the OCP from the place of formation to the resulting text messages at a more abstract level, without loss of information and with the possibility of engaging the achievements of the traditional description.…”

Section: Introductionmentioning

confidence: 99%

“…Identification of the causes of situations is difficult and is associated with the lack of reliable information about the actual state of the network sections among consumers, configuration, state of high-voltage equipment, deviations in the technological processes of network load operation, etc. [15][16][17][18].…”

Section: Introductionmentioning

confidence: 99%

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Automatic Control of the Structure of Dynamic Objects in High-Voltage Power Smart-Grid

Никифоров¹

2021

Automation and Control

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The control and protection algorithms for the considered class of dynamic facilities with a tunable structure are considered. Their relevance follows from the concepts of the development of the electric power industry-smart grid, digital substation and outsourcing services. The properties of this class of dynamic objects are spatial distribution, many options for changing the structure and motion in vibrational circuits at natural frequencies from ultra-high to ultra-low. The input coordinate of the dynamic objects is the vector of the change in the structure of the object. The output coordinate is the power of a special semantic signal about the state of the facilities. Their management is carried out as part of the stabilisation system of the normal operation of the facility. Stabilisation is achieved by the criterion of the minimum deviation of the power of the semantic signal from the 'normal mode' setting of operation. Executive bodies rebuild the structure of the dynamic facility in a pulsed, programmatic way, using the possibilities of self-healing and resource reservation. If stabilisation is not possible, the damaged area is excluded from the facility. The problem of the stability of the system turned out to be the lack of sufficient information about the state of the object and the similarity of the structure and significance of unrecognisable semantic situations to the main situations. Control algorithms are synthesised by the developed structural-informational (SI) method of dynamic pattern recognition.

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Section: Research Problem Descriptionmentioning

confidence: 99%

“…Studies show that a residual amount of information is present in the situation recognition tree [16][17][18]. Information is captured by the FIX unit and evaluated by other algorithms.…”

Section: Research Problem Descriptionmentioning

confidence: 99%