Power System Small Signal Stability Enhancement Using Fuzzy  Based STATCOM

Kassahun, Habitamu Endalamaew

doi:10.15199/48.2023.08.05

Cited by 3 publications

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The initial guess has a large effect on the convergence time. However, the method has a poor convergence characteristic [8,[13][14][15][16].…”

Section: Gauss Seidel Methodsmentioning

confidence: 99%

Power Flow Analysis Using Numerical Computational Methods on a Standard IEEE 9-Bus Test System

Akindadelo,

Shodiya,

Salau

et al. 2024

MMEP

View full text Add to dashboard Cite

Load flow is an important tool for studying, designing, and analyzing power systems. It allows power system engineers to determine whether the operation and configuration of the power system is safe under varying loading conditions. It is necessary to model and simulate such a system in order to determine the power flow and losses. This research paper focuses on using numerical methods such as Newton Raphson and Gauss Seidel power flow equations for load flow analysis to calculate bus voltage magnitudes, phase angles, real and reactive power of each bus of an IEEE 9-bus test system. Newton Raphson's computation offers fast, accurate convergence but demands complex implementation, whereas Gauss Siedel is simpler but converges slower with lower accuracy. The analysis was carried out using a MATLAB program. By manipulating variables such as power injections, voltage magnitudes, and phase angles, it solves nonlinear equations iteratively to establish stable operating points which aids in enhancing power system analysis. The line losses for the two methods are compared and the system's total load and generation power are also displayed. The consideration of line losses and assessment of total load generation is crucial for maintaining system efficiency, reliability and preventing voltage instability and equipment damage. The results are also used to generate a directed graph which shows the interconnected nature of the power system, aiding engineers in understanding power flow paths, identifying potential issues, and making informed decisions about system operations. The Newton Raphson method yields the lowest loss, with 4.585MW and 10.789Mvar. In comparison, the Gauss Seidel method achieved 4.809MW and 10.798Mvar.

show abstract

“…The initial guess has a large effect on the convergence time. However, the method has a poor convergence characteristic [8,[13][14][15][16].…”

Section: Gauss Seidel Methodsmentioning

confidence: 99%

Power Flow Analysis Using Numerical Computational Methods on a Standard IEEE 9-Bus Test System

Akindadelo,

Shodiya,

Salau

et al. 2024

MMEP

View full text Add to dashboard Cite

show abstract

ANN-based Maximum Power Point Tracking Technique for PV Power Management under Variable Conditions

Junaid Khan,

Akhtar,

Hasan

et al. 2024

Int. j. math. eng. manag. sci.

View full text Add to dashboard Cite

Due to the increasing energy demand, traditional fossil fuels are gradually decaying day by day as analyzed by many researchers. Fossil fuels are not sufficient to fulfil the requirement of energy demand and it also produces greenhouse gas emissions. In this regard, worldwide research is going on related to renewable energy sources (RESs) like solar photovoltaic (SPV), wind turbines, fuel cells etc. The source of SPV is plentiful and environment friendly which converts solar radiation to non-linear electrical power. This power is not suitable for a stable system. Therefore, the maximum power point tracking (MPPT) controller is required to find the optimum maximum power point (MPP) to the load. The MPPT technology regulates the duty-cycle in favour of the DC-DC converter to continuously obtain maximum power from the SPV arrays. In the past few decades, the learning of MPPT techniques has made substantial progress in the RESs. This research article analyzes the performance of various MPPT techniques in the proposed SPV framework. The main investigation is to assess different MPPT techniques to optimize power from the SPV framework. The artificial neural network (ANN)-MPPT method has been observed to be more effective in output power production and transient response about the MPP than conventional perturb and observe (P&O)-MPPT and fuzzy logic controller (FLC)-MPPT technology.

show abstract

Optimal Power Quality Enhancement using a Radial Distribution System with an Improved Unified Power Quality Conditioner

Osaloni,

Akinyemi,

Adebiyi

et al. 2023

Wseas Transactions on Power Systems

View full text Add to dashboard Cite

Massive electric power distribution over long distances with consequential Power Quality (PQ) challenges such as voltage sags and power losses are some of the significant attributes of a Radial Distribution Network (RDN). Deployment of Power Angle Regulated (PAR) based Unified Power Quality Conditioner (UPQC) in a distribution network is also securing attraction because of the latest recorded achievements and improvements in Voltage Source Inverter (VSI) built power electronic systems. However, optimal allocation of this kind of device to mitigate PQ problems remains a challenge for achieving set objectives. Consequently, this study considers the best possible allocation of PAR and Improved-UPQC know as I-UPQC in the distribution network to enhance power network performance. The identification of optimal location is achieved through the application of hybridization of the Genetic Algorithm and Improved Particle Swarm Optimization (GA & IPSO). The deterministic approach is based on the weight factor of various objective functions. The allocation is attained with a selection of reactive power control between inverter connected in parallel and series and control angle variables of the device through its dynamic involvement of total system loss derivatives. Performances of the I-UPQC based distribution system during diverse power transfers are observed. Convergence characteristic of deterministic approach at different disturbance percentages is analyzed and presented. Imaginary power circulation enhanced the voltage-associated challenges at the range of 0.949 to 0.9977. Hence, power dissipation minimized to 1.15 percent compared to the initial 3.35 percent, according to results of I-UPQC allocation in RDN utilizing mathematical and optimization technique. Additionally, the network losses, voltage dip, and minimum bus voltage profile all fall within the regulatory standards of less than 2%, 5%, and 5%, correspondingly. Also, the performance of the compensated network for both ordinary and optimized scenarios indicated the fitness of the projected method in accomplishing an operational optimization of RDN, specifically for voltage profile (VP) improvement and I-UPQC's series and shunt inverter share imaginary power.

show abstract

Power System Small Signal Stability Enhancement Using Fuzzy Based STATCOM

Cited by 3 publications

References 0 publications

Power Flow Analysis Using Numerical Computational Methods on a Standard IEEE 9-Bus Test System

Power Flow Analysis Using Numerical Computational Methods on a Standard IEEE 9-Bus Test System

ANN-based Maximum Power Point Tracking Technique for PV Power Management under Variable Conditions

Optimal Power Quality Enhancement using a Radial Distribution System with an Improved Unified Power Quality Conditioner

Contact Info

Product

Resources

About