Use of energy storage in Isolated Micro Grids

Lombardi, Pio; Styczynski, Zbigniew A.; Sokolnikova, Tatiana; Suslov, Konstantin

doi:10.1109/pscc.2014.7038361

Cited by 28 publications

(8 citation statements)

References 12 publications

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“…11. RES installed worldwide in 2014 [11] C) Basic and intraday trading use case In use case c, market influences are added to the control system. In the field trials presented, this means that the battery is charged during curtailment or when market prices are low and, rather than being recovered directly (see the curtailment use case), the power is optimized for periods of higher revenue, i.e.…”

Section: Sgees Field Trialmentioning

confidence: 99%

“…energy storage systems [9] in local power systems [10], can guarantee corresponding security and reliability of supply of the future smart grid. [11] The storage system capacity currently installed worldwide is estimated to be 140 GW [12] and the integration of an additional 310 GW in the grid is deemed to be necessary to continue reducing CO 2 emissions in the power grid in coming years. Since storage technologies, especially innovative ones, are still quite expensive, it is always essential to analyze their individual and combined use cases/operating scenarios separately both technically (storage system sizing: capacity, out-put, dynamic response) and economically (mode of operation and benefitcost) in order to be able to define an optimal storage system (technology and parameters).…”

Section: Introductionmentioning

confidence: 99%

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Energy storage systems: power grid and energy market use cases

Komarnicki¹

2016

Archives of Electrical Engineering

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Current power grid and market development, characterized by large growth of distributed energy sources in recent years, especially in Europa, are according energy storage systems an increasingly larger field of implementation. Existing storage technologies, e.g. pumped-storage power plants, have to be upgraded and extended by new but not yet commercially viable technologies (e.g. batteries or adiabatic compressed air energy storage) that meet expected demands. Optimal sizing of storage systems and technically and economically optimal operating strategies are the major challenges to the integration of such systems in the future smart grid. This paper surveys firstly the literature on the latest niche applications. Then, potential new use case and operating scenarios for energy storage systems in smart grids, which have been field tested, are presented and discussed and subsequently assessed technically and economically.

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Section: Sgees Field Trialmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Energy storage systems: power grid and energy market use cases

Komarnicki¹

2016

Archives of Electrical Engineering

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“…Для повышения надежности электроснабжения потребителей и формирования сетей Smart Grid [1-5] применяются установки распределенной генерации (РГ), в том числе работающие на основе возобновляемых энергоресурсов [6][7][8][9][10][11], а также накопители электроэнергии (НЭ) [12][13][14] и различные устройства для интеллектуального управления режимами. Для оптимального решения задачи управления сетями Smart Grid требуется применение полной математической модели системы электроснабжения.…”

Section: Introductionunclassified

Algorithms for Creating the Digital Twin of a Distributed Generator

Bulatov

Kryukov

2020

Journal of Siberian Federal University. Engineering &Amp; Technologies

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The article describes the concept of a digital twin of a distributed generator (DG) implemented on the basis of a salient-pole synchronous generator. The structure of the digital twin is presented in the form of a hierarchical fuzzy model built on the experimental data. For building fuzzy models of individual elements and links of a generator, software algorithms for optimization of the membership functions of term sets and the numbers of knowledge base rules are proposed. The results of experiments on obtaining an optimized neuro-fuzzy model for regulating the rotation speed of the generator rotor are presented. A comparative analysis of the oscillograms of the output signal of the optimized fuzzy model showed a sufficiently high accuracy when using the subtractive clustering method to build a fuzzy logic system. This approach made it possible to significantly reduce the number of term sets and the amount of the fuzzy model rules. The proposed algorithms can be used in further research aimed at industrial implementation of DG digital twins, as well as for solving the problem of tuning automatic regulators of low-power synchronous generators

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“…At present, a number of studies have been carried out on the use of intelligent technologies in power supply systems [1][2][3][4][5][6][7][8][9], and in particular, for solving the problems of controllers parameterization [10][11][12], as well as on developing controllers working on the basis of artificial intelligence technologies [13][14][15][16]. A control system that adjusts AER and ARRS tuning and built on the basis of an adaptive neuro-fuzzy inference system is proposed in this work to improve the stability and reliable integration of the DG plants in EPS.…”

Section: Introductionmentioning

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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Use of energy storage in Isolated Micro Grids

Cited by 28 publications

References 12 publications

Energy storage systems: power grid and energy market use cases

Energy storage systems: power grid and energy market use cases

Algorithms for Creating the Digital Twin of a Distributed Generator

Neuro Fuzzy Control system for Distributed Generation Plants

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