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Multi-sourced power system restoration strategy based on modified Prim’s algorithm

Łukaszewski Artur, Nogal Łukasz

Bulletin of the Polish Academy of Sciences. Technical Sciences

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2021

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Vol. 69, nr 5

art. no. e137942

EN

Self-healing grids are one of the most developing concepts applied in electrical engineering. Each restoration strategy requires advanced algorithms responsible for the creation of local power systems. Multi-agent automation solutions dedicated for smart grids are mostly based on Prim’s algorithm. Graph theory in that field also leaves many problems unsolved. This paper is focused on a variation of Prim’s algorithm utility for a multi-sourced power system topology. The logic described in the paper is a novel concept combined with a proposal of a multi-parametrized weight calculation formula representing transmission features of energy delivered to loads present in a considered grid. The weight is expressed as the combination of three elements: real power, reactive power, and real power losses. The proposal of a novel algorithm was verified in a simulation model of a power system. The new restoration logic was compared with the proposal of the strategy presented in other recently published articles. The novel concept of restoration strategy dedicated to multi-sourced power systems was verified positively by simulations. The proposed solution proved its usefulness and applicability.

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An advanced IoT system for monitoring and analysing chosen power quality parameters in micro-grid solution

Khoa Ngo Minh, Dai Le Van, Tung Doan Duc, Toan Nguyen An

Archives of Electrical Engineering

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2021

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Vol. 70, nr 1

173--188

EN

This paper proposes an advanced Internet of Things (IoT) system for measuring, monitoring, and recording some power quality (PQ) parameters. The proposed systemis designed and developed for both hardware and software. For the hardware unit, three PZEM-004T modules with non-invasive current transformer (CT) sensors are used tomeasure the PQ parameters and an Arduino WeMos D1 R1 ESP8266 microcontroller isused to receive data from the sensors and send this data to the server via the internet. For the software unit, an algorithm using Matlab software is developed to send measurement datato the ThingSpeak cloud. The proposed system can monitor and analyse the PQ parameters including frequency, root mean square (RMS) voltage, RMS current, active power, and the power factor of a low-voltage load in real-time. These PQ parameters can be stored on theThingSpeak cloud during the monitoring period; hence the standard deviation in statistics of the voltage and frequency is applied to analyse and evaluate PQ at the monitoring point.The experimental tests are carried out on low-voltage networks 380/220 V. The obtained results show that the proposed system can be usefully applied for monitoring and analysing chosen PQ parameters in micro-grid solutions.

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Optimized Nano Grid Approach for Small Critical Loads

Todorov Daniel, Todorov Venelin, Fidanova Stefka

Annals of Computer Science and Information Systems

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2021

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Vol. 26

81--84

EN

This study is focused on the possibility of utilizing solar energy nano grids for feeding small scale critical loads. The reasons conditioning this necessity are reviewed and the strengths of small scale micro grids over the centralized type of powering are stated. On the basis of studies on renewable energy sources, photovoltaic converters are pointed to be most appropriate for small scale generation in urban conditions at specific geographical region. The loads of typical traffic lights show that they are relatively constant, which makes such consumers very suitable for micro or nano grids.