A New Method for Allocation of Power Quality Monitoring Sites

Feng, Dawei; Wang, Tongxun; Liu, Yingying; Zhou, Shengjun; Yi, Li

doi:10.1109/ipemc-ecceasia48364.2020.9368115

Cited by 2 publications

(4 citation statements)

References 9 publications

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“…Node priority (for PQ monitoring) is determined estimating the highest voltage sag observability in solution array (similar to [16,17]-kindred papers to [18]). In [19] (2020), a new allocation method flowchart consists of four stages, and the authors specify that all PQ phenomena are considered: RMS voltage, THD, unbalance, flickers, etc. The following tasks must be accomplished in order to find optimal placement strategy:…”

Section: Drf =mentioning

confidence: 99%

“…High-importance (model parameters: coverage of interference source (i.e., pollution propagation mechanism), coverage of important sensitive users, total short-circuit capacity); In [19] (2020), a new allocation method flowchart consists of four stages, and the authors specify that all PQ phenomena are considered: RMS voltage, THD, unbalance, flickers, etc. The following tasks must be accomplished in order to find optimal placement strategy:…”

Section: Drf =mentioning

confidence: 99%

“…Earlier, PQ was not seriously regarded in traditional power systems planning: the attention should have been given to more fundamental problems such as generation planning, energy demand forecasting, and evaluation of stability and reliability. Nowadays, In regard to PQ monitors' allocation, from the literature review, it is seen that none of the above-mentioned AI methods have been applied in [6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24] or included in standards guidelines (see Chapter 2): for example, in [7], the branch-and-bound algorithm is used (Figure 2); in [16][17][18], matrix operations which are based on Ohm's law; in addition, some classical statistical methods have been proposed. Each method has its own advantages and disadvantages.…”

Section: Pq-part Of Smart Grid and Its Communication Networkmentioning

confidence: 99%

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Grid Nodes Selection Strategies for Power Quality Monitoring

Liubčuk,

Radziukynas,

Naujokaitis

et al. 2023

Applied Sciences

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In the past few years, technical progress has determined traditional electric power system conversion to Smart Grids, and consequently empowered a worldwide renaissance in the forgotten PQ field. Since the installation of PQ monitors is currently associated with high investments and operational costs, it is inappropriate to install a monitor on each grid busbar. Hence, grid operators must establish the best cost–benefit scenario for monitors installation and achieve maximal observability with a limited number of analyzers. Firstly, this paper presents a review of the state-of-the-art of displacement strategies, and discusses them regarding the tendencies of node selection criteria, the test schemes used, and the grid size. Secondly, the relevant fundamental issues which must be solved in the future in order to eliminate restrictions in PQ monitors’ allocation planning are presented and discussed. These issues concern the treatment, interpretation, and assessment of PQ events, measurement chain technical features, PQ’s role in the grid planning stage, communication technologies, and other remote monitoring aspects, and integration with other Smart Grid applications. The provided insights are based on experience which has been obtained during the PQ measurement campaign in the Lithuanian DSO grid. Finally, a PQ system development strategy—both short-term and long-term perspectives—in the Lithuanian distribution grid is presented, including monitors allocation criteria.

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Section: Drf =mentioning

confidence: 99%

Section: Drf =mentioning

confidence: 99%

Section: Pq-part Of Smart Grid and Its Communication Networkmentioning

confidence: 99%

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Grid Nodes Selection Strategies for Power Quality Monitoring

Liubčuk,

Radziukynas,

Naujokaitis

et al. 2023

Applied Sciences

View full text Add to dashboard Cite

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“…Much political attention is devoted to reliability, for example, in [48][49][50]-the 5th, 6th and 7th CEER Benchmarking Reports-power supply interruptions are grouped into planned (outside the scope of this paper), unplanned, and unplanned excluding exceptional events (such as beforementioned Fukushima earthquake and tsunami). Despite being important, long-established and included into the main PQ standards (EN 50160:2010, IEEE Std 1159-2019, and others), the criterion almost cannot be met in the PQ monitor allocation literature, and is only briefly mentioned in [44,51]. The interconnection (possibly strong statistical correlation) between various reliability indexes and voltage sags should be expected (hypothesis)-in a similar manner to underground cables: according to the 5th Benchmarking Report [48] (pp.…”

Section: Lemma 2 If Voltage V12 Through the Line Between Buses No 1 A...mentioning

confidence: 99%

Power Quality Monitors Displacement Based on Voltage Sags Propagation Mechanism and Grid Reliability Indexes

Liubčuk,

Radziukynas,

Kairaitis

et al. 2023

Applied Sciences

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Nowadays, voltage sag continues to remain a critical PQ issue in the industry. Since it is not possible to install a voltage analyzer on every node, optimal monitoring locations must be determined. However, during the PQ monitoring campaign of the Lithuanian DSO grid, the execution of this task was inhibited by the lack of knowledge and literature about the fundamentals of voltage sags propagation. Therefore, the first part of this paper investigates the propagation paths of voltage sags by using a voltage sag matrix method on the created test grid, which for the first time is BRELL-based. This paper is the first to not only investigate voltage sags propagation paths (both downward and upward) in detail, but also to investigate them complexly, encompassing all four types of short-circuits, both voltages (phase-to-phase and phase-to-ground), and interconnections with other PQ events (interruption, transient, unbalance). The result has established a generalization of voltage sags propagation mechanisms by inductive reasoning and laid the foundation for the further development of PQ theory. The second part of this paper focuses on the Lithuanian DSO grid and is one of the first to investigate voltage sags/interruptions through the prism of both relationship with reliability indexes (SAIFI and SAIDI) and primary causes. For this purpose, we created our own scientific methodology, applying known probabilistic and statistical methods along with newly proposed approaches, in particular for ACR success evaluation and estimation of functions similarity.

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A New Method for Allocation of Power Quality Monitoring Sites

Cited by 2 publications

References 9 publications

Grid Nodes Selection Strategies for Power Quality Monitoring

Grid Nodes Selection Strategies for Power Quality Monitoring

Power Quality Monitors Displacement Based on Voltage Sags Propagation Mechanism and Grid Reliability Indexes

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