Optimal micro-PMU placement and virtualization for distribution network changing topologies

Ibarra, Luis; Avilés, Juan Pablo; Guillén, Daniel; Mayo-Maldonado, Jonathan C.; Valdez-Reséndiz, Jesús E.; Ponce, Pedro

doi:10.1016/j.segan.2021.100510

Cited by 8 publications

(3 citation statements)

References 38 publications

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“…At transmission system, the running cost is lower to development cost because of voltage transformer and expensive current. 38 But in the distribution network, CT and Voltage transformer (VT) transducers are not accurately needs a high reporting rate. 39 Therefore, these above factors are very important to choose PMU and total system monitoring cost may be expressed as,…”

Section: Monitoring System Costmentioning

confidence: 99%

“…In these figs there are totally 2 μ-PMUs are located in IEEE-13 bus-system nodes, such as 2 and 7. And 12 μ-PMUs are placed at the nodes of IEEE-34 bus systems, such as 02, 10,14,20,24,34,40,38,54,88, 64, and 46.…”

Section: Placement Of 𝛍-Pmus In Different Busesmentioning

confidence: 99%

“…Here, consider the capital and running of the system. At transmission system, the running cost is lower to development cost because of voltage transformer and expensive current 38 . But in the distribution network, CT and Voltage transformer (VT) transducers are not accurately needs a high reporting rate 39 .…”

Section: Configuration Of μ‐Pmus With Hybrid Techniquesmentioning

confidence: 99%

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Optimal location of micro‐phasor measurement units in distribution system control, monitoring, and protection using hybrid technique

Hussain¹,

Elango²

2023

Optim Control Appl Methods

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This manuscript proposes a hybrid technique for the optimum location of micro‐phasor measurement units (μ‐PMUs) in the distribution system (DS).The proposed hybrid approach is the wrapper of dwarf mongoose optimizer (DMO) and pelican optimization algorithm (POA). The updating behavior of DMO is improved by the POA; therefore, it is called DMO‐POA approach. The main aim of the proposed approach is to avoid discontinuity of supply and minimizes the count of PMDs to reduce cost and attain the maximal count of measurement‐redundancy that is limited to full‐system observability for IEEE bus‐system in zero injection nodes (ZINs) and tie‐switches. The proposed approach considered the optimum count of μ‐PMUs is needed for the thorough distribution system economy, observability, and the reliability measure. The proposed approach considers the distribution of PMUs in the reconfiguration of smart‐distribution‐grids, ZINs and communication system requirements. Here, the objective‐function is aiming at minimizing the costs of reliability and capital. The proposed method uses the infrastructure of communication cost to simultaneously co‐optimize the system switching strategy and find the optimal sites for PMUs. The performance of the proposed technique is tested in different test‐systems, like IEEE‐14 bus, 13, 34, 37, and 123 buses and the performance is executed by comparing it with the existing approaches. Furthermore, the proposed system is effectual to find an optimal solution with less computation and decreases the complexity of the algorithm.

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Section: Monitoring System Costmentioning

confidence: 99%