A principle of power quality control in the intelligent distribution networks

Suslov, Konstantin; Solonina, N. N.; Степанов, В. А.

doi:10.1109/sedst.2015.7315218

Cited by 25 publications

(12 citation statements)

References 10 publications

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“…It should be noted that the use of distributed generation technologies in systems with degraded power, requires the use of special active devices improving PQI [19,20], for example, harmonic conditioners or DC insertion (DCI) using modern converter technologies, etc. Using the DC insertions makes allows improving the electric power quality indicators and limit the shortcircuit power on the buses of DG sources.…”

Section: Advances In Intelligent Systems Research Volume 158mentioning

confidence: 99%

Neuro Fuzzy Control system for Distributed Generation Plants

Bulatov¹,

Kryukov²

2018

Proceedings of the VTH International Workshop "Critical Infrastructures: Contingency Management, Intelligent, Agent-Based, Clou

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The transition of electric power industry to a new technological platform based on the concept of smart power grids with an active-and-adaptive network will allow to increase the efficiency of control, durability and reliability of power supply systems. The idea of applying the intelligent algorithms to control power grids becomes more pressing in case of wide using the distributed generation plants (DGP) and other grid active elements that allow to control power grid operation modes. The article describes the DGP consisting of synchronous generators that operate in various modes and often with poor power supply quality. To provide the parallel operation stability of synchronous turbo/ hydro generators of DGP, automatic excitation regulator (AER) and automatic regulator of rotor speed (ARRS) are used. Due to low inertia constant of distributed generation unit rotors, the problem of matched tuning of AER and ARRS becomes more topical. To increase stability and reliable integration of DGP in power grids, a control system built on a neurofuzzy match system is proposed. The system corrects AER/ ARRS settings. In this case, the following smart technologies were used: genetic algorithm to search optimal settings of AER and ARRS; a neuro-fuzzy network to identify an operation mode of a DGP and power grid; fuzzy interference to correct settings of AER/ ARRS in various modes of DGP operation. Based on modelling done in MATLAB system the efficiency of using the proposed neuro-fuzzy match system to identify DGP operation modes and to adaptively control matched tuning of AER and ARRS of synchronous generators is shown. If using the intellectual control system, one can decrease transition process time, generator voltage / frequency overcontrol, as well as provide reliability and durability of a power system in various operation modes of a DGP and power grids.

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Section: Advances In Intelligent Systems Research Volume 158mentioning

confidence: 99%

Neuro Fuzzy Control system for Distributed Generation Plants

Bulatov¹,

Kryukov²

2018

Proceedings of the VTH International Workshop "Critical Infrastructures: Contingency Management, Intelligent, Agent-Based, Clou

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show abstract

“…It should also be noted, that optimal control requires adjusting the tuning of AER and ARRS when significant changes are introduced in the operation modes of both DG plants and PSS. These requirements can be met by using the intelligent control algorithms [10][11][12][13][14][15].…”

Section: Formulation Of the Problemmentioning

confidence: 99%

Enhancing reliability of power supply systems with distributed generation plants

Bulatov

Kryukov

2018

E3S Web Conf.

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The article present results of studies aimed at emergency control methods development in power supply systems equipped with distributed generation plants. The main purpose of emergency control is ensuring postemergency mode dead-beat stability and high quality of dynamic transitions for electrical network load-shedding. Control actions were formed by changing the vector of controlled parameters along a path corresponding to the shortest distance to the hypersurface of the limit modes. The dynamic processes quality when implementing the control actions was ensured based on the special settings of excitation and frequency automatic regulators. Based on computer-aided modelling, it is shown that the effective in-troduction of a postemergency mode to the stability region can be performed based on generalized equations of the limit loads while using the start algorithm ensuring mode’s entering the stability region’s neighboring boundary. The application of the fuzzy control algorithms for tuning regulators allows formation of a qualitative dynamic transition while load-shedding distributed generation plants in the postemergency mode.

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“…In present-day conditions, electrical power (EP) consumers can create effective distributed generation (DG) plants, which are competing with centralized EP generation [1][2][3][4][5][6][7][8][9][10][11]. Along with DG plants of private use, they can be organized into micro power systems.…”

Section: Introductionmentioning

confidence: 99%

Emergency Modes Modeling in Non-Traction Consumers Power Supply Systems

Bulatov¹,

Kryukov²,

Alekseenko³

2019

Proceedings of the International Conference on Aviamechanical Engineering and Transport (AviaENT 2019)

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The use of distributed generation (DG) plants, which includes renewable energy resources, allows to stabilize voltage levels, reduce losses in networks and to free couplings transfer capacities. Power quality can be enhanced based on DG in railroads power supply systems (RPSS), as well power supply efficiency and uninterruptedness of power consumers supply. However, when DG is used, a problem arises associated with the short circuit currents growth caused by additional power sources. To resolve this problem, development of methods emergency modes modeling in RPSS is required, when RPSS are equipped with DG plants. The article contains results of emergency modes study in power supply systems, with emergency modes caused by short circuits. A non-traction consumers' individual power supply region was modeled, which was connected to a traction substation through a DC link and which included the following DG plants: turbogenerator of minicogeneration plants; hydrogenerator of micro-hydropower plant; a wind power generation plant (WPGP) based on synchronous machine; WPGP based on DC machine and a solar power plant. The modeling results allow us to make the following conclusions: when DG plants are used, short circuits currents are growing which requires additional check of the switching equipment and changing relay protection setpoints to ensure selectivity; using DC link allows to significantly reduce short circuit currents, even when feed is available from DG plants; in case of two-phase short circuit a significant distortion of currents curves' harmonicity is observed, when currents are leaking from DG sources.

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A principle of power quality control in the intelligent distribution networks

Cited by 25 publications

References 10 publications

Neuro Fuzzy Control system for Distributed Generation Plants

Neuro Fuzzy Control system for Distributed Generation Plants

Enhancing reliability of power supply systems with distributed generation plants

Emergency Modes Modeling in Non-Traction Consumers Power Supply Systems

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