Power flow control in parallel transmission lines based on UPFC

Suliman, Mohammed Y.; Alkhayyat, Mahmood

doi:10.11591/eei.v9i5.2290

Cited by 8 publications

(7 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Unified Power Flow Controller proposed by L. Gyugyi [22]. The performance of UPFC simultaneously regulates the active, reactive power flow, voltage magnitude, phase angle, and transmission line impedance [23][24][25][26]. UPFC, illustrated in Figure 1, includes two voltage-source converters; one is in series with the line, and another interface with a shunt connection [27,28].…”

Section: Modeling Of Unified Power Flow Controllermentioning

confidence: 99%

Performance Analysis of Marine-Predator-Algorithm-Based Optimum PI Controller with Unified Power Flow Controller for Loss Reduction in Wind–Solar Integrated System

Valuva,

Chinnamuthu

2023

Energies

View full text Add to dashboard Cite

Transmission line losses are a crucial and essential issue in stable power system operation. Numerous methodologies and techniques prevail for minimizing losses. Subsequently, Flexible Alternating Current Transmission Systems (FACTSs) efficiently reduce transmission losses, and the Unified Power Flow Controller (UPFC) is a reactive power compensation controller. The parameter strength of the proportional–integral (PI) controller was calibrated with the Marine Predator Algorithm (MPA), a recent metaheuristic algorithm. An MPA-based optimum PI controller with a UPFC evaluates the optimal location of the UPFC and PI controller parameters to accomplish the desired research objective. The power rating of the UPFC was determined depending on the voltage collapse rating and power loss and an evaluated performance analysis of the MPA–PI-controlled UPFC on a modified IEEE-30 bus transmission network in MATLAB Simulink code. The Newton–Raphson method was used to perform the load flow analysis. Hence, the proposed MPA–PI controller was examined in contrast to preferred heuristic algorithms, the Artificial Bee Colony (ABC) and Moth Flame Optimization algorithms (MFO); the results showed that the MPA–PI controller exhibited better performance with an improved voltage profile and surpasses active power losses with the optimal placement of the UPFC device under different loading conditions. The active power loss, considering a UPFC with the proposed algorithm, reduced from 0.0622 p.u to 0.0301 p.u; consequently, the voltage profile was improved in the respective buses, and the loss percentage reduction during a 100% base load was 68.39%, which was comparatively better than the ABC and MFO algorithms.

show abstract

Section: Modeling Of Unified Power Flow Controllermentioning

confidence: 99%

Performance Analysis of Marine-Predator-Algorithm-Based Optimum PI Controller with Unified Power Flow Controller for Loss Reduction in Wind–Solar Integrated System

Valuva,

Chinnamuthu

2023

Energies

View full text Add to dashboard Cite

show abstract

“…Neuro-Fuzzy controllers are appropriate for approximate logic mostly for the system where it is complicated to implement a "mathematical model". This type of controller plays a significant role in many practical applications [26][27][28]. There are many types of inference mechanisms in the fuzzy logic control FLC system, "Takagi-Sugeno" is selected in this research [29].…”

Section: Control Design Based On Dwtmentioning

confidence: 99%

Archives of Electrical Engineering

Suliman,

Alkhayyat

2021

View full text Add to dashboard Cite

Detecting high impedance faults (HIFs) is one of the challenging issues for electrical engineers. This type of fault occurs often when one of the overhead conductors is downed and makes contact with the ground, causing a high-voltage conductor to be within the reach of personnel. As the wavelet transform (WT) technique is a powerful tool for transient analysis of fault signals and gives information both on the time domain and frequency domain, this technique has been considered for an unconventional fault like high impedance fault. This paper presents a new technique that utilizes the features of energy contents in detail coefficients (D4 and D5) from the extracted current signal using a discrete wavelet transform in the multiresolution analysis (MRA). The adaptive neurofuzzy inference system (ANFIS) is utilized as a machine learning technique to discriminate HIF from other transient phenomena such as capacitor or load switching, the new protection designed scheme is fully analyzed using MATLAB feeding practical fault data. Simulation studies reveal that the proposed protection is able to detect HIFs in a distribution network with high reliability and can successfully differentiate high impedance faults from other transients.

show abstract

“…This is achieved by permitting the output converter voltages to lag behind the AC-grid voltages at common connection by a modest angle (typically within the range of 0.2-0.3). Within that technique, the switches converter takes a little amount of active power from the grid system to compensate for the switches' internal losses and maintain the desired voltage of the capacitor [8]. This identical mechanism controls the voltage used to decrease or increase the capacitor voltage and, consequently, the magnitude of the converteroutput voltage as well as the phase shift used to regulate the reactive power (VAR) that is absorbed or ISSN: 2088-8694  generated [9].…”

Section: Introductionmentioning

confidence: 99%

Active and reactive energy storage STATCOM distribution system power management

Albanna,

Al-Karakchi,

Al-Rifaie

2024

IJPEDS

View full text Add to dashboard Cite

One of the critical factors influencing the overall development of modern power systems is the control of active and reactive power flows in distribution power systems. The static synchronous compensator (STATCOM) with storage energy is a powerful device that can control active and reactive power flow in a distribution system. A simulation model of power management using STATCOM with energy storage is presented in this paper. A fuzzy logic controller is proposed to manage the powers. The simulation results demonstrate STATCOM's ability to manage the active and reactive power flow in a controlled distribution line, and thus the powers regulated between feeders, by utilizing storage energy.

show abstract

Power flow control in parallel transmission lines based on UPFC

Cited by 8 publications

References 12 publications

Performance Analysis of Marine-Predator-Algorithm-Based Optimum PI Controller with Unified Power Flow Controller for Loss Reduction in Wind–Solar Integrated System

Performance Analysis of Marine-Predator-Algorithm-Based Optimum PI Controller with Unified Power Flow Controller for Loss Reduction in Wind–Solar Integrated System

Archives of Electrical Engineering

Active and reactive energy storage STATCOM distribution system power management

Contact Info

Product

Resources

About