Minimum switching losses for solving distribution NR problem with distributed generation

Badran, Ola; Mokhlis, Hazlie; Mekhilef, Saad; Dahalan, Wardiah Mohd; Jallad, Jafar

doi:10.1049/iet-gtd.2017.0595

Cited by 38 publications

(31 citation statements)

References 16 publications

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“…Eq. (18) ensures that the total power consumption by the load and power losses must be equal to the total power capacity generated from DGs and substation [14]. This is in line with the equilibrium principle which stated supply and demand of power must be equal.…”

Section: ) Power Balancesupporting

confidence: 53%

“…Inequality (5) would maintain the voltage of each bus within the allowable limit following the NR [14]. In this study, the limit is set at ±10% of the rated voltage.…”

Section: B Network Reconfiguration Constraints 1) Voltage Magnitudementioning

confidence: 99%

“…The network topology must be in radial after the reconfiguration process where the main substation must be connected to all the buses and there is no loop in the network. The function of graph theory in MATLAB is utilized to determine this radiality [14].…”

Section: B Network Reconfiguration Constraints 1) Voltage Magnitudementioning

confidence: 99%

“…t fast > k (14) b) The slow mode of the recloser must be greater than the MCT (max. clearance time) of the fuse.…”

Section: Mmtmentioning

confidence: 99%

“…DG size at bus i, P DG,i , is limited by the maximum and minimum capacity of the DG, P max i and P min i , respectively [14].…”

Section: Distributed Generator Constraints 1) Distributed Generatomentioning

confidence: 99%

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Protection Coordination Toward Optimal Network Reconfiguration and DG Sizing

et al. 2019

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Research on network reconfiguration (NR) considering distributed generations (DG) is typically concerns on the issues of power loss, voltage deviation, DG sizing as well as its placement, which are important and required in the planning stage. On the other hand, another important aspect which often neglected in this stage is coordination of protection devices which is essential to prevent the network from damages following system breakdown. Without sufficient attention given to the protection coordination during NR, there is a possibility for the protective devices to miscoordinate and consequently lead to system blackout, due to changes in current flow and fault level. Therefore, this paper proposed an NR method for distribution networks with DG, incorporating protection devices. The proposed method aims to find the optimal configuration and DG size with minimum power loss, and at the same time ensuring protective devices operate correctly during normal and fault condition. Constraints on protection coordination and DG size are explicitly formulated in the proposed method. The validity of the proposed method is analyzed on three commonly used IEEE 33-bus, 69-bus and 118-bus distribution systems, employing the firefly algorithm (FA) and evolutionary programming (EP) algorithm. Comparative studies are done to prove the validity and robustness of the proposed method. HAZLIE MOKHLIS (M'01-SM'18) received the B.Eng. and M.Eng.Sc. degrees in electrical engineering from the

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Section: ) Power Balancesupporting

confidence: 53%

“…Inequality (5) would maintain the voltage of each bus within the allowable limit following the NR [14]. In this study, the limit is set at ±10% of the rated voltage.…”

Section: B Network Reconfiguration Constraints 1) Voltage Magnitudementioning

confidence: 99%

Section: B Network Reconfiguration Constraints 1) Voltage Magnitudementioning

confidence: 99%

“…t fast > k (14) b) The slow mode of the recloser must be greater than the MCT (max. clearance time) of the fuse.…”

Section: Mmtmentioning

confidence: 99%

“…DG size at bus i, P DG,i , is limited by the maximum and minimum capacity of the DG, P max i and P min i , respectively [14].…”

Section: Distributed Generator Constraints 1) Distributed Generatomentioning

confidence: 99%

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Protection Coordination Toward Optimal Network Reconfiguration and DG Sizing

et al. 2019

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HybridGA‐MCSbased optimization for distributed generation with dynamic voltage restorer planning in distribution networks

Vimlesh

Mukharjee

Singh

2021

Int Trans Electr Energ Syst

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The distributed generations (DGs) and dynamic voltage restorer (DVR) play an important role in the context of environmental problems and sustainable development throughout the world. The traditional DG and DVR locating and sizing method is based on a fixed network structure, which is assumed to be unchangeable during the planning period. The research presented here discusses a hybrid approach working on Monte Carlo simulation (MCS) and genetic algorithm (GA), which can be used for enhancement of system power factor (SPF) and voltage profile (VP) by the integration of DGs with DVR planning in distribution networks with ZIP load models from the minimization of total real power loss of the system viewpoint. The proposed methodology was applied to a 75-bus distribution network. This article is useful for researchers as well as practitioners who are working in the fields of integration of DG with DVR for improvement of system performances such as power factors and voltage profile from minimizing the losses.

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Enhanced Sine–Cosine Algorithm for Optimal Planning of Distribution Network by Incorporating Network Reconfiguration and Distributed Generation

Raut

Mishra

2020

Arab J Sci Eng

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Minimum switching losses for solving distribution NR problem with distributed generation

Cited by 38 publications

References 16 publications

Protection Coordination Toward Optimal Network Reconfiguration and DG Sizing

Protection Coordination Toward Optimal Network Reconfiguration and DG Sizing

HybridGA‐MCSbased optimization for distributed generation with dynamic voltage restorer planning in distribution networks

Enhanced Sine–Cosine Algorithm for Optimal Planning of Distribution Network by Incorporating Network Reconfiguration and Distributed Generation

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