Abstract:Development of smart grids for power supply to rural consumers assumes the creation of adaptive voltage regulation systems in 0.38 … 10 kV electrical networks as one of the directions. This paper considers a new approach to create an algorithm for controlling the technical means of regulation and voltage stabilization. The proposed adaptive voltage regulation system allows collecting and processing information on the actual voltage at the consumer inputs and automatically determine the voltage regulation coeff… Show more
“…The conducted studies devoted to the low-voltage electrical networks operating modes [11][12][13][14][15][16][17][18] have established that the most effective balancing means the 038 kV network operating mode is the special balancing devices use with zero-sequence currents minimal resistance. This device type is used mainly in electrical networks that electricity suppliers the utility load consumers (urban and rural).…”
The article considers the using intelligent controls possibility in low-voltage rural electric networks to minimize the unbalance modes consequences. The proposed technology includes the digital data transmission compilation on the electrical energy parameters with a new balancing technical means the electrical network operating mode. Digital feedback is provided for changes the balancing device (BD) parameters by the unbalancing power consumption changing level. Based on the developed methods compilation, software for calculating unbalancing modes has been created, which makes it possible to assess the currents and voltages unbalancing effect on the power quality and its additional losses change. The “green” technology proposed version, which increases the economic and the electric energy environmental safety use in the rural electric power industry, contains a new constructive solution for the balancing device implementation. The proposed technology was tested on the measurement data basis in existing electrical networks. Based on the MALAB technologies use, changes studied indicators visualization in the before and after BD integration in the electrical network was carried out and its analysis was makes. Used on the “neural networks” MALAB technology, a preventive assessment of the unbalancing power consumption events development in the investigated operating electrical network is presented, as well as the proposed technology effectiveness assessment was carried out.
“…The conducted studies devoted to the low-voltage electrical networks operating modes [11][12][13][14][15][16][17][18] have established that the most effective balancing means the 038 kV network operating mode is the special balancing devices use with zero-sequence currents minimal resistance. This device type is used mainly in electrical networks that electricity suppliers the utility load consumers (urban and rural).…”
The article considers the using intelligent controls possibility in low-voltage rural electric networks to minimize the unbalance modes consequences. The proposed technology includes the digital data transmission compilation on the electrical energy parameters with a new balancing technical means the electrical network operating mode. Digital feedback is provided for changes the balancing device (BD) parameters by the unbalancing power consumption changing level. Based on the developed methods compilation, software for calculating unbalancing modes has been created, which makes it possible to assess the currents and voltages unbalancing effect on the power quality and its additional losses change. The “green” technology proposed version, which increases the economic and the electric energy environmental safety use in the rural electric power industry, contains a new constructive solution for the balancing device implementation. The proposed technology was tested on the measurement data basis in existing electrical networks. Based on the MALAB technologies use, changes studied indicators visualization in the before and after BD integration in the electrical network was carried out and its analysis was makes. Used on the “neural networks” MALAB technology, a preventive assessment of the unbalancing power consumption events development in the investigated operating electrical network is presented, as well as the proposed technology effectiveness assessment was carried out.
“…The use of an adaptive automatic voltage regulation system in rural 10/0.4 kV electric networks are considered in works [18][19]. There are the developed methods and technical means for an adaptive automatic 10kV 35kV 0,4kV voltage regulation.…”
Section: Structure Of Adaptive Automatic Voltage Regulation Systemmentioning
This article describes the features of voltage regulation in electrical networks of 35, 110, 220 kV. The structural diagram of the 35/10/0.4 kV network is presented. The paper also describes the adaptive automatic voltage regulation system which allows regulating the voltage taking into account the actual voltage values at the consumers’ inputs. The structural diagram of the adaptive automatic voltage regulation system in the 0.4 kV electrical network using a boost transformer as an additional means of voltage regulation is given. The system is based on voltage sensors installed in different parts of an eletcrical network sending information on voltage values to to the processing unit which generates a signal for voltage regulating supplied to the executive device and the working body whuch, in turn, change the on-load tap-changer position of a transformer. The paper justifies the need for the enhancement of the adaptive automatic voltage regulation system for different voltage classes wich allows controlling a voltage change at different power supply system levels and regulating voltage level in accordance with this change. For this problem the multi-level adaptive automatic voltage regulation systemis proposed. The system allows regulating the voltage not only in the 0.4 kV network but also in networks of higher voltage classes. The proposed system can be integrated into the structure of intelligent electrical networks.
“…The paper [14] focuses on introducing the coordinated voltage control technique for solving a voltage quality problem. Also, there is a large number of already developed means for increasing PSR and PQ, for example, systems for regulating electrical power quality parameters (for example, adaptive automatic voltage regulation [15]), transformer substation automation systems (Automatic Transfer Switches (ATS), automatic circuit reclosers (ACR) [16], under-frequency load shedding (UFLS), buses' load balancing [17]), systems of automatic regulation (compensation) of reactive power [18], [19]. At the same time, the implementation of these means as well as using methods for increasing PSR and PQ, including ones mentioned above, requires monitoring the electrical network parameters in order to accurately and quickly respond to any changes in a power supply system [20].…”
The need for monitoring the electrical network parameters is identified to use methods and means to improve power supply reliability and power quality. The article lists the exiting sensors for monitoring electrical parameters and substantiates the necessity of monitoring the parameters at both sides of switching devices. In the paper, there is basic information on the structure, operation and capabilities of the monitoring system for power supply reliability and power quality. A functional electrical circuit of the device for monitoring the number and duration of power outages and voltage deviations is proposed for monitoring the parameters at both sides of switching devices. An algorithm for the device operation has also been developed, which allows detecting the main emergency modes in the consumer's internal network. The article also describes laboratory tests of a prototype of the device for monitoring the number and duration of power outages and voltage deviations, which is based on the Arduino NANO V3 ATmega 328 microprocessor. INDEX TERMS power supply system efficiency, power supply reliability, power quality, power supply restoration time, power quality inconsistency time, monitoring system, Arduino prototype, laboratory tests.
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