Progress and Challenges in Smart Grids: Distributed Generation, Smart Metering, Energy Storage and Smart Loads

Diahovchenko, Illia; Kolcun, Michal; Čonka, Zsolt; Savkiv, Volodymyr; Mykhailyshyn, Roman

doi:10.1007/s40998-020-00322-8

Cited by 72 publications

(28 citation statements)

References 67 publications

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“…To the best of our knowledge, this is the first study of its kind presenting a novel power grid system, for monitoring and controlling to integrate power grid with renewable sources on wide area network, by using Information and Communication Technologies ICT, but, some similar previous investigations to the current work have been reported in [26,27]. The work in [26] presents the supervision of a PV system with storage connected to the power line and design of a battery protection system. The objective of this article is to manage the charging and discharging of the batteries, taking into account their protection against overload and under load and supervise the system.…”

Section: Introductionmentioning

confidence: 73%

“…Comparing with the previous studied models proposed in [25][26][27], our model is more compatible for monitoring and controlling power sources in wide area network, this can help in monitoring and controlling the power system even when the sources are far from each other, moreover IGBT switch can cut the power lines even with high current, but the switch relays that were exploited in [25][26][27] are only useful when power grids have low currents, micro-grid with low voltage as an example, furthermore, in those proposed findings the PV only controlled the battery charge, However, within this work, we improved this issue by adding IGBT switch to charge the battery from the power grid when is needed, ICTs make our model as a part of the grid system, which controls all power grid and not only isolated solution to control part of the grid.…”

Section: Discussionmentioning

confidence: 89%

“…However, the previous investigations models presented in [26,27] may not be able to monitor and control the (2020) 2:2016 | https://doi.org/10.1007/s42452-020-03820-w power sources in a wide area network, both studies have used switch relays, which are convenient only when power grids have low currents, micro-grid with low voltage as an example. Moreover, such work proposed approaches to only make the PV controlling the battery charge.…”

Section: Introductionmentioning

confidence: 99%

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Design and implementation of secured power grid system with information and communication technology

et al. 2020

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This study presents a novel power grid system, for monitoring and controlling a power grid that is made up of various power sources, by using Information and Communication Technologies ICT. This can be hugely contributed to improving the reliability, efficiency as well as towards making smart and automated power systems. The current model was developed in the MATLAB Simulink environment. The proposed system consists of a PV panel, battery, power grid, ICT system/controller, and loads. There are four insulated-gate bipolar transistor switches; namely, IGBT to control battery charging/discharging status and to connect or disconnect either PV panel power source or grid power source depending on the load. The main aim of this model is to develop and implement a grid-connected system that is integrated with PV panel and battery in MATLAB to analyze various operations modes, which include the performance of the PV panel and battery during both the online and offline modes of operation. The proposed system is said to be capable to monitor and control different power sources, which in turn will lead not only to reducing dependence on non-renewable energies but also to increasing dependence on renewable energies. The simulation results were illustrated and demonstrated that the proposed system can monitor and control the power generated and transmission in real-time in a better and secure manner. On the other hand, exploiting this model leads to reduce the power production costs, creating a clean environment, and also to preserve long term battery life.

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Section: Introductionmentioning

confidence: 73%

Section: Discussionmentioning

confidence: 89%

Section: Introductionmentioning

confidence: 99%

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Design and implementation of secured power grid system with information and communication technology

et al. 2020

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“…The smart loads are a possible solution to obtain better efficiency and power quality in an MG, and they can be classified into two types: (i) smart static load and (ii) smart motor load. They also have the possibility of connecting to the smart assistants that have become so popular in home automation for the loads' operation planning [58,59].…”

Section: Loadsmentioning

confidence: 99%

Towards Optimal Management in Microgrids: An Overview

et al. 2021

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A microgrid is a set of decentralized loads and electricity sources, mainly renewable. It can operate connected to and synchronized with a traditional wide-area synchronous grid, i.e., a macrogrid, but can also be disconnected to operate in “island mode” or “isolated mode”. When this microgrid is able to manage its own resources and loads through the use of smart meters, smart appliances, control systems, and the like, it is referred to as a smart grid. Therefore, the management and the distribution of the energy inside the microgrid is an important issue, especially when operating in isolated mode. This work presents an overview of the different solutions that have been tested during the last few years to manage microgrids. The review shows the variety of mature and tested solutions for managing microgrids with different configurations and under several approaches.

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“…At the same time, a mass of harmonics is generated because there are many nonlinear load devices in the micro-grid, such as distributed power sources, energy storage devices, energy conversion devices, loads, monitoring and protection devices, etc., which lead to non standard sinusoidal waveform of voltage,. As a result, it is difficult for the electric energy metering device to measure accurately in Diahovchenko et al [1] and Ghanizadeh et al [2]. In order to accurately measure the electrical energy in the micro-grid, it is necessary to consider the harmonic power, which is caused by harmonic voltage and current of the same frequency.…”

Section: Introductionmentioning

confidence: 99%

An Adaptive Detection Algorithm for Micro-grid Harmonic Power Based on Deep Belief Network

2021

Teh. vjesn.

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There are many non-linear load devices in the micro-grid, resulting in a lot of complex harmonics, which is a key problem that leads to low measurement accuracy of electric energy metering devices. The traditional integrated empirical mode decomposition (EEMD) method can effectively deal with the problem of nonlinear and nonstationary signals, but this method has the problem of being highly dependent on artificial pre-set parameters. Here, the deep belief network (DBN) is introduced in the white noise signal generation process of EEMD. The main problems solved are as follows: one is to adaptively match the white noise signal according to the data characteristics of the current signal in the micro-grid, the other is to reduce the artificial setting error and make the separation result closer to the theoretical value. Finally, this paper uses the operating data in the actual environment to carry out experimental verification, and the results show that the error between the value of harmonic power in the production environment and the theoretical value given is reduced by 9.73%.

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Progress and Challenges in Smart Grids: Distributed Generation, Smart Metering, Energy Storage and Smart Loads

Cited by 72 publications

References 67 publications

Design and implementation of secured power grid system with information and communication technology

Design and implementation of secured power grid system with information and communication technology

Towards Optimal Management in Microgrids: An Overview

An Adaptive Detection Algorithm for Micro-grid Harmonic Power Based on Deep Belief Network

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