Performance Assessment of Bacterial Foraging based Power System Stabilizer in Multi-Machine Power System

Ibrahim, Nader M.A.; Elnaghi, Basem E.; Ibrahim, Hamed A.; Talaat, H.

doi:10.5815/ijisa.2019.07.05

Cited by 5 publications

(6 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The Simulink model of the complete system is depicted in Figure 21. Furthermore, the simulation parameters related to this model can be found in [26]. A complete simulation model of all systems was designed in MATLAB/Simulink software.…”

Section: Wscc 3-machine Test Power System Results and Discussion Unde...mentioning

confidence: 99%

“…Currently, intelligent metaheuristic tuning methods have developed, and their application has increased due to its advantage in solving difficult high-dimension, non-linear, non-differentiable, non-convex, and multi-modal real-world problems [18,19]. Many of these methods are employed for single machine infinite bus (SMIB) and multi-machine PSSs parameter design, such as Evolutionary Programming (EP) [20], Differential Evolution (DE) [21], Genetic Algorithm (GA) [22], Particle Swarm Optimization (PSO) [23], Whale Optimization Algorithm (WOA) [24], Salp Swarm Algorithm (SSA) [25], Kidney-inspired Algorithm (KA) [13], Grasshopper Optimization Algorithm (GOA) [16], Bacteria Foraging Optimization (BF) [26], Sine Cosine Algorithm (SCA) [27], Bat Algorithm (BA) [28], Cuckoo Search Optimization (CSO) [29], Artificial Bee Colony (ABC) [30], General Relativity Search Algorithm (GRSA) [31] etc. These algorithms offer good a performance as regards the problem of PSS design.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Application of Neuro-Fuzzy Controller to Replace SMIB and Interconnected Multi-Machine Power System Stabilizers

et al. 2020

View full text Add to dashboard Cite

In this research, an effective application and performance assessment of the Neuro-Fuzzy Controller (NFC) damping controller is designed to replace a single machine infinite bus (SMIB) power system stabilizer (PSS), and coordinated multi PSSs in large interconnected power systems are presented. The limitation of the conventional PSSs on SMIB and interconnected multi-machine test power systems are exposed and disclosed by the proposed NFC stabilizer. The NFC is a nonlinear robust controller which does not require a mathematical model of the test power system to be controlled, unlike the conventional PSSs’ damping controller. The Proposed NFC is designed to improve the stability of SMIB, an interconnected IEEE 3-machine, 9-bus power system, and an interconnected two-area 10-machine system of 39-bus New England IEEE test power system under multiple operating conditions. The proposed NFC damping controller performance is compared with the conventional PSS damping controller to confirm the capability of the proposed stabilizer and realize an improved system stability enhancement. The conventional PSSs’ design problem is transformed into an optimization problem where an eigenvalue-based objective function is developed and applied to design the SMIB-PSS and the interconnected multi-machine PSSs. The time-domain phasor simulation was done in the SIMULINK domain, and the simulation results show that the transient responses of the system rise time, settling time, peak time, and peak magnitude were all impressively improved by an acceptable amount for all the test system with the proposed NFC stabilizer. Thus, the NFC was able to effectively control the LFOs and produce an enhanced performance compared to the conventional PSS damping controller. Similarly, the result validates the effectiveness of the proposed NFC damping controller for LFO control, which demonstrates more robustness and efficiency than the classical PSS damping controller. Therefore, the application and performance of the NFC has appeared as a promising method and can be considered as a remarkable method for the optimal design damping stabilizer for small and large power systems.

show abstract

Section: Wscc 3-machine Test Power System Results and Discussion Unde...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Application of Neuro-Fuzzy Controller to Replace SMIB and Interconnected Multi-Machine Power System Stabilizers

et al. 2020

View full text Add to dashboard Cite

show abstract

“…Meta-heuristic algorithm convergence curve is a critical factor used to validate the performance of a designed damping controller. Different researchers validate their designed damping controller by comparing it with other meta-heuristic techniques using the convergence curves [160] and conclude that their designed damping controller is more efficient based on the comparison. However, the meta-heuristic technique is a randomization process.…”

Section: Controller Design Limitations In Existing Methodsmentioning

confidence: 99%

Solar, Wind and Their Hybridization Integration for Multi-Machine Power System Oscillation Controllers Optimization: A Review

et al. 2022

View full text Add to dashboard Cite

Massive growth in global electrical energy demand has necessitated a genuine exploration and integration of solar and wind energy into the electrical power mix. This incorporation goes a long way in improving the cumulative generated power capacity of the power system. However, wind and solar photovoltaic (PV) are intermittent in nature, making the provisioning of a good maximum power tracking (MPPT) scheme necessary. Furthermore, the integration is characterized by synchronization challenges and introduces various modes of power system oscillations as it is converter-driven. This greatly affects the overall stability of the integrated power mix. Consequently, various technological models have been designed to address these challenges ranging from MPPT schemes, phase-lock loop (PLL), virtual synchronous generator (VSG), power system stabilizers (PSS), flexible AC transmission system (FACTS), coordinated control and artificial intelligence (AI). In this work, a multi-machine power system model is reviewed for integration stability studies. Various technical solutions associated with the integration are also reviewed. MPPT, PLL, VSG, PSS, FACTS, coordinated control, and various optimization technique schemes used for damping controller design are discussed.

show abstract

“…This algorithm has been widely presented as an alternative method for optimizing PSS parameters under various operating conditions. Several metaheuristic methods have been presented in the optimization of PSS parameters, namely: whale optimization algorithm (WOA) [14]- [17], Farmland fertility algorithm [18], Atom search optimization [19], Slime mould algorithm [20], Bacterial foraging [21], [22], Cuckoo search optimization [23]- [25], Sine Cosine Algorithm [26] and Particle swarm optimization [27]- [29]. However, optimization of PSS parameters is still a popular theme in the context of power system stability.…”

Section: Introductionmentioning

confidence: 99%

Dingo optimization algorithm for designing power system stabilizer

Aribowo

Suprianto

Kartini

et al. 2022

IJEECS

View full text Add to dashboard Cite

The dingo optimization algorithm (DOA) adopts the social life of dingo dogs. The dingo is a breed of ancient dog originating from Australia. Dingo hunting strategies such as assault with persecution, flocking, and scavenging behavior became the inspiration for DOA. In this paper, DOA is applied to a power system stabilizer (PSS) to dampen low-frequency oscillations (LFO) in a single-machine infinite bus (SMIB). DOA is used to obtain optimal parameters for PSS. The damping controller is designed for optimal lead-lag control. To obtain the performance of the DOA method, the results were compared with the uncontrolled method, conventional PSS, Whale optimization algorithm (WOA), and grasshopper optimization algorithm (GOA). Simulation using MATLAB with three different operating conditions, namely light load (20%), medium load (50%) and high load (100%). From the simulation using MATLAB with SMIB modeling, it was found that the application of the DOA method on PSS has the ability to reduce the average undershoot value by 28.16% and reduce the average undershoot value to 65.57% compared to the conventional PSS method.

show abstract

Performance Assessment of Bacterial Foraging based Power System Stabilizer in Multi-Machine Power System

Abstract: This paper describes the process of power system stabilizer (

Cited by 5 publications

References 28 publications

Application of Neuro-Fuzzy Controller to Replace SMIB and Interconnected Multi-Machine Power System Stabilizers

Application of Neuro-Fuzzy Controller to Replace SMIB and Interconnected Multi-Machine Power System Stabilizers

Solar, Wind and Their Hybridization Integration for Multi-Machine Power System Oscillation Controllers Optimization: A Review

Dingo optimization algorithm for designing power system stabilizer

Contact Info

Product

Resources

About