Modeling and simulation of phasor measurement unit (PMU) for early fault detection in interconnected two-area network

Waqar, Asad; Khurshid, Zeeshan; Ahmad, Jehanzeb; Aamir, Muhammad; Yaqoob, Muneeb; Alam, Imtiaz

doi:10.1109/icpesg.2018.8384491

Cited by 7 publications

(6 citation statements)

References 12 publications

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“…The "Phasor" mode was used to solve the electrical circuit's transient states, allowing for a simulation lasting several tens of hours and an additional analysis of the results. Waqar et al and Babu simulated DGR implementation in an interconnected power network employing phasor measurement units (PMUs) to assign transients [15,16]. Plug-in electric vehicles as a prosumer (producer and consumer of electricity) require a special load frequency control technique on a network with low rotational inertia (with highly penetrated renewable energy sources (RESs)) [17][18][19][20][21].…”

Section: Related Workmentioning

confidence: 99%

“…∑ P PV_FARM + ∑ P GRID + ∑ P W I ND_FARM + ∑ P ESS + ∑ P DIESEL = ∑ P LOAD [W] (15) where ∑P TOTAL = ∑P G and ∑P LOAD = ∆P; ∑P PV_FARM is the total active power of the solar power plant (losses are included); ∑P WIND_FARM is the total active power of the wind power plant (losses are included); ∑P GRID is the total active power of DS; ∑P ESS is the total active power of the ESS, including BESS (losses are included); ∑P DIESEL is the total active power of the diesel generator; ∑P LOAD is the total active load power. The balance of reactive power at each time point also applies to the given simulation:…”

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confidence: 99%

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Analysis of Prosumer Behavior in the Electrical Network

et al. 2021

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This article deals with the prosumer behavior, specifically on an on-grid electrical network that is connected to a larger synchronous electrical network, as well as an off-grid system. In the Simulink (Matlab) application, two models were constructed for this purpose. The modeling of the operation of the electrical network’s on-grid system takes place in one of the models. The simulation of the operation of the electrical network’s off-grid system takes place in the other. We examined the model’s behavior in the provided simulated period from the standpoint of transient states and qualitative indicators of electrical energy under various connection configurations in both systems. The simulations resulted in the possibility of incorporating new sources of energy accumulation, such as pumped storage hydropower plants based on energy storage systems (ESSs), and modifying the model to the user’s needs.

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Section: Related Workmentioning

confidence: 99%

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confidence: 99%

Analysis of Prosumer Behavior in the Electrical Network

et al. 2021

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“…In-fact, 55 millions of people were badly affected because of the shortage of electricity and it is considered as a ninth largest power outage in the world. Afterwards in February 2004, the US-Canada outage task force made a report about the incident which disturbed the power utilities and transmission lines [4]. Finally, they submitted a report to the government officials.…”

Section: Introductionmentioning

confidence: 99%

“…Besides, they recommended the use of PMU to get better visibility of power grids and avoid such incidents in future. Before there were few PMUs installed in the power network, after that incident (Blackout) number of PMUs are increased from 166 in 2010 to 1126 in 2014 [4]. Power system state estimation (PSSE) is conventionally a nonlinear problem, yet PMUs take the measurement and formulate it as a linear problem, it is easy to solve linear properties which are much simpler than nonlinear features [5].…”

Section: Introductionmentioning

confidence: 99%

A comprehensive review for optimal placement of phasor measurement unit for network observability

Baba

Nor

Ibrahim

et al. 2020

IJEECS

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Real time synchronized phasor measurement in power network is obtained by the improvement in monitoring, control and, protection of the power system. In recent time, the installation ratio of Phasor Measurement Units (PMUs) is constantly increasing for the real time measurement throughout worldwide. The increment in the number of PMU installation is to only focus on the improvement of system state estimation (SE) performance. However, the expensive nature of the metering device requires huge amount of installation cost with the other communication facilities, therefore an optimal placement of PMU is necessary. Different techniques have been designed and used to overcome this matter. The paper presents numerous optimization algorithms such as, Mathematical programming, Heuristic, and Meta-Heuristic techniques which are specially used for the optimization of PMU placement with complete network observability. Furthermore, each PMU technique is explained, and performances are compared for the most appropriate and optimal placement of PMU methods, which can be recommended for a future work to get complete network observability.

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“…15,886.0465 𝑉 = 1.58𝑘𝑉The transformer's output voltage supplied is 1.6*10 4 Vac, and this voltage is generated in cases where the simulation is phase-to-neutral. Subsequently, this is converted into a phase-tophase voltage, as shown.…”

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confidence: 99%

Distributed Generation installed by the Phasor Measurement Unit to improve voltage

Zakri

Saputra

Saini

et al. 2022

Sinergi

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This study is intended to design a system connected to the Distributed Generation (DG) sourced from solar cells, using Matlab/Simulink. A Phasor Measurement Unit (PMU) is installed in the DG system to monitor the phasor voltage and current. Furthermore, the system comprises four buses with two 20 kV load voltages, two amplifying transformers, and four transmission lines. The DG's role is to keep the power supply to the load stable and improve power efficiency by reducing power losses on the network. However, in this network, the DG increases the current on each bus. Thus, affecting voltage increase on each bus, consequently increasing the stress experienced by both loads. The DG-connected system simulation on PMU-3 & PMU-4 has a minute error value of 0.02% and is slightly higher than the unconnected simulation. This comparison also shows the positive sequence values of the phasor currents as well as phasor voltages before and after the DG connection. The DG system connected to the PMU has monitored voltage and current for PLN and DG systems based on the simulation results. Therefore, installing the DG can increase the line voltage, especially on the load.

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Modeling and simulation of phasor measurement unit (PMU) for early fault detection in interconnected two-area network

Cited by 7 publications

References 12 publications

Analysis of Prosumer Behavior in the Electrical Network

Analysis of Prosumer Behavior in the Electrical Network

A comprehensive review for optimal placement of phasor measurement unit for network observability

Distributed Generation installed by the Phasor Measurement Unit to improve voltage

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