Unbalanced Source Detection in Power Distribution Networks by Negative Sequence Apparent Powers

Dadashzade, Amin; Aminifar, Farrokh; Davarpanah, Mahdi

doi:10.1109/tpwrd.2020.3029437

Cited by 14 publications

(5 citation statements)

References 9 publications

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“…In the literature, several studies have concentrated on the identification of unbalanced sources in distribution networks using the unbalance indices [48]. In Section 3, we demonstrate that higher negative and zero sequence current amplitudes are not necessarily associated with higher losses since negative and zero sequence phase angles also matter.…”

Section: Unbalance Indicesmentioning

confidence: 84%

Decomposition of unbalanced operation incremented active power loss in distribution network

Dadashzade,

Amirioun,

Aminifar

et al. 2024

IET Generation Trans & Dist

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Unbalanced operation of distribution networks, as a crucial but inevitable aspect of power quality, brings about economic and technical issues. The increase in active power loss is more concerning due to the economic and technical implications. Economic sustainability of liberalized distribution networks is hugely tied to the availability of transparent and effective approaches to determine the stakeholders of this sort of phenomenon. This is done by awarding/penalizing them accordingly. Studies in the literature have not considered the incremental losses that unbalanced operations cause to distribution systems. Here, a mathematical approach based on vector analysis in the symmetrical components space is introduced. This approach quantifies the contribution of each unbalanced load to unbalanced operation and increased power losses. This technique discriminates between the mutual effects of different unbalanced loads on the power losses of the entire network. By means of the proposed approach, the best candidate unbalanced load(s)/location(s) to perform the corrective balancing actions and their ranking are precisely specified. Vector representation of the developed method simplifies its understanding, utilization, and expansion. For validation, the proposed method is applied to the IEEE 37‐bus test distribution network under various scenarios. The results confirm the sound results and practical merits of the developed method.

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Section: Unbalance Indicesmentioning

confidence: 84%

Decomposition of unbalanced operation incremented active power loss in distribution network

Dadashzade,

Amirioun,

Aminifar

et al. 2024

IET Generation Trans & Dist

Self Cite

View full text Add to dashboard Cite

show abstract

“…In an ideally transposed configuration, different sequence components are decoupled, and the symmetrical component current of each type (positive, negative, and zero) will cause the voltage drop of the same kind [46]. In our proposed method, by assuming the lines as transposed ones, we have neglected the off-diagonal elements of the impedance matrix.…”

Section: Untransposed Linesmentioning

confidence: 99%

State Estimation in Unbalanced Distribution Networks by Symmetrical Components

Dadashzade¹,

Bahrami²,

Aminifar³

2022

Scientia Iranica

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State estimation (SE) of a power distribution network plays a vital role in the distribution management systems (DMSs). SE results can monitor and counteract grid technical challenges like tracking the unbalanced operation condition. In this paper, we propose a new approach for unbalanced distribution system SE which is based on the decomposition of the original problem into three subproblems by applying the symmetrical components. The subproblems are of lower dimensions and solved in parallel leading to much less computation time. The convex relaxation method is applied to address nonconvex ac power flow equations and formulate the distribution network SE problem as a semidefinite program (SDP). Furthermore, an algorithm is proposed to detect and attenuate bad data in measurements along with the SE solution. The proposed unbalanced distribution system SE approach is applied to the IEEE 37-and 123-node distribution test systems. The results are compared with those of three-phase SDP-based and linearized SE methods. The superiority of proposed approach is verified in terms of computation time and accuracy.

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“…Another propose that has been made through the development of mobile embedded systems, is to monitor and record distribution transformer parameters such as current, temperature, oil level, vibration and humidity of the transformer. While in other proposals, it uses the detection of power distribution network imbalances using negative sequence parameters [15]. If an abnormality occurs, the system sends an alert message to the mobile phone as well as the monitoring unit containing information about the abnormality and some predefined instructions programmed in the micro controller [16].…”

Section: Introductionmentioning

confidence: 99%

The Real Time Monitoring System and Early Detection of Unbalanced Load for the Three Phase Distribution Systems in Urban Areas

Nojeng,

Jaya,

Murniati

2023

ijeeic

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This paper introduces a three-phase unbalanced load condition monitoring system in a power distribution network that can monitor and provide early warning. The distribution system is a component of the power system that must always be observed in maintaining the service of delivering electricity to customers. Currently, many technologies are applied to the distribution system that can ensure the operation of the distribution network, especially distribution transformers to determine real-time transformer conditions so that damage and power losses can be minimized, but do not provide early detection. Therefore, the role of information technology is currently one of the investments that must be made for all electric power supply operators in maintaining the performance of distribution transformers through early detection. In this study, the system developed based on Internet of Things (IoT) technology that was built consists of: embedded system devices that function to carry out measurements and transmit data, Web Service software that functions to receive data from sensor systems, and Arduino-based software using the Blynk Cloud application platform in presenting data and managing data through Android display devices (HP/Laptop). The Blynk is a compatible platform for applications on Mobile OS (iOS and Android) in controlling Arduino, Raspberry Pi, or ESP8266-based modules, as well as similar modules via the Internet (IoT). This system was built to provide an early warning function against network parameter anomalies such as overload, overvoltage, and unbalanced load. After getting the data, the system will perform calculations to obtain recommendations for system optimization in the form of balancing, maintenance, or load maneuver. Based on testing, the time needed to send and receive notifications on smartphone users via the blynk application ranges from 3-4 seconds. By setting a tolerance limit of 20%, when the load is severely unbalanced where the neutral current is almost equal to or greater than the phase current, the local indicator light will light up and the Android system will provide an unbalanced load indicator.

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Unbalanced Source Detection in Power Distribution Networks by Negative Sequence Apparent Powers

Cited by 14 publications

References 9 publications

Decomposition of unbalanced operation incremented active power loss in distribution network

Decomposition of unbalanced operation incremented active power loss in distribution network

State Estimation in Unbalanced Distribution Networks by Symmetrical Components

The Real Time Monitoring System and Early Detection of Unbalanced Load for the Three Phase Distribution Systems in Urban Areas

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