Islanding power quality detection using lighting search optimization with deep learning model on distributed generation systems

Soumya, C; Raj, Praveen; Deepanraj, B.; Senthilkumar, N.

doi:10.1016/j.ref.2022.08.007

Cited by 16 publications

(2 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In reconfigurable smart distribution grids, this study presents a novel technique for allocating PMUs, which takes communication system requirements and ZINs into account. 35 The optimal placement cost of μ-PMU 36 objective function is shown in the equation without the influence of ZIN.…”

Section: Effect Of Zinmentioning

confidence: 99%

“…In reconfigurable smart distribution grids, this study presents a novel technique for allocating PMUs, which takes communication system requirements and ZINs into account 35 . The optimal placement cost of μ‐PMU 36 objective function is shown in the equation without the influence of ZIN.

\mathrm{Cos}{t}_{\mathrm{Min}}^{\upmu \hbox{-} \mathrm{PMU}}=\sum \limits_{z\in b}{C}_z{r}_z-\sum \limits_{z\in b}\left({\mathrm{MR}}_z\times \alpha \right),\kern1em i\in {n}_b,

here, monetary‐factor executes μ‐phasor measurement unit placement‐cost at zth bus as

{C}_z

.…”

Section: Configuration Of μ‐Pmus With Hybrid Techniquesmentioning

confidence: 99%

See 1 more Smart Citation

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

Hussain¹,

Elango²

2023

Optim Control Appl Methods

View full text Add to dashboard Cite

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.

show abstract

Section: Effect Of Zinmentioning

confidence: 99%

“…In reconfigurable smart distribution grids, this study presents a novel technique for allocating PMUs, which takes communication system requirements and ZINs into account 35 . The optimal placement cost of μ‐PMU 36 objective function is shown in the equation without the influence of ZIN.