A Hybrid BBO-DE optimization with Eigen value analysis based transient stability improvement by coordinated design of SVC

Karthikeyan, K.; Dhal, P.K.

doi:10.1016/j.matpr.2017.11.207

Cited by 4 publications

(4 citation statements)

References 4 publications

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“…Although metaheuristic algorithms could provide relatively satisfactory results, no algorithm could provide superior performance than others in solving all optimizing problems. erefore, several studies have been conducted to improve the performance and efficiency of the original metaheuristic algorithms in some ways and apply them for a specific purpose [42][43][44][45][46][47][48][49][50][51].…”

Section: Introductionmentioning

confidence: 99%

Adaptive Rat Swarm Optimization for Optimum Tuning of SVC and PSS in a Power System

Toolabi

Aghahadi

Eslami

et al. 2022

International Transactions on Electrical Energy Systems

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This paper presents a new approach for the coordinated design of a power system stabilizer- (PSS-) and static VAR compensator- (SVC-) based stabilizer. For this purpose, the design problem is considered as an optimization problem, while the decision variables are the controllers’ parameters. This paper proposes an effective optimization algorithm based on a rat swarm optimizer, namely, adaptive rat swarm optimization (ARSO), for solving complex optimization problems as well as coordinated design of controllers. In the proposed ARSO, instead of a random initial population, the algorithm starts the search process with fitter solutions using the concept of the opposite number. In addition, in each iteration of the optimization, the new algorithm replaces the worst solution with its opposite or a random part of the best solution to avoid getting trapped in local optima and increase the global search ability of the algorithm. The performance of the new ARSO is investigated using a set of benchmark test functions, and the results are compared with those of the standard RSO and some other methods from the literature. In addition, a case study from the literature is considered to evaluate the efficiency of the proposed ARSO for coordinated design of controllers in a power system. PSSs and additional SVC controllers are being considered to demonstrate the feasibility of the new technique. The numerical investigations show that the new approach may provide better optimal damping and outperform previous methods.

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Section: Introductionmentioning

confidence: 99%

Adaptive Rat Swarm Optimization for Optimum Tuning of SVC and PSS in a Power System

Toolabi

Aghahadi

Eslami

et al. 2022

International Transactions on Electrical Energy Systems

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“…The use of eigenvectors corresponding to the power system oscillatory modes was used to determine the relative motions of the machines at this mode and to find out which machines were swinging with and against each other in [15]. A hybrid BBO-DE with an eigenvalue analysis-based optimization problem was presented in [16]. The proposed algorithm was tested on an IEEE system with 10 generators and 19 load centers considering 2.0 s fault time and 2.50 s clearing time.…”

Section: Introductionmentioning

confidence: 99%

“…These neglected small signal oscillations do exit and, over time, cause a breakdown of network components. To identify the existence of these transient in a transmission network system, the eigenvalue principle, as the most classical mathematical approach, is appreciated for its high accuracy and has been used in several studies to determine such small oscillation in the distribution network or for optimal placement of FACTS devices [15][16][17]. This article proposes the utilization of the eigenvalue principle for clear cut details of the stability state of the transmission network in order to provide the needed control measures as efficiently as possible.…”

Section: Introductionmentioning

confidence: 99%

Transient Stability Analysis of a Transmission Network Using Eigenvalue Principles with Automated VAR Compensation: A Case Study of the Nigerian Eastern Grid

2021

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Power systems may encounter disturbances during operation as a result of switching of various components, etc. Such perturbations include transformer tap-changing action, load variations, and line outages due to various types of faults of which an earth fault is the most common. Stability analysis of a transmission system is necessary for us to determine the stability state of the system so that appropriate control measures can be implemented to guarantee system stability. This article presents the use of eigenvalue obtained from the system-linearized eigenvectors to analyze the stability state of the system. The choice of the eigenvalue principle is based on the strength of accuracy of the method to determine the actual state of the system providing adequate data for easy solution to the problem. The node admittance parameters computed from the line parameters is applied to the eigenvalue–eigenvector model to determine the system stability state. The state of the eigenvalue is used as an input to a control system, which utilized static volt-ampere reactive (VAR) compensators (SVC) to automatically stabilize the non-stable buses in the transmission network. The 6 × 6 nodal admittance matrix is formed and fed to the developed eigenvalue–eigenvector model via MATLAB in order to compute the right and left eigenvectors and the diagonal or eigenvalue of the network under steady-state and contingency condition. After this, the system stability state is determined, and necessary control actions by the SVC are implemented to guarantee system security. The developed model was tested on the 6 bus Eastern Grid Nigerian Transmission Network and validated using a 41 bus network of the same country. The compensated model showed considerable efficiency in improving the transient stability state of the transmission networks in terms of ease of operation, seamless integration into existing control system, and efficient utilization of SVS to compensate for reactive power imbalances. The results from the step response graph of the compensated model shows performance accuracy as the system regained stability in less than 0.5 s, which is a significant improvement over the uncompensated model.

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“…The quasi-oppositional based learning (QOBL) is combined to the conventional chemical reaction optimization (CRO) was applied on IEEE 14-bus and 30-bus to improve the quality and the convergence speed of the solution. SVC damping controller design by Bacteria Foraging Optimization Algorithm (BFOA) to enhance the power system stability [34]. To demonstrate the superior efficiency of the proposed BFOA in tuning SVC controller the Genetic Algorithm (GA) was used with BFOA but SVC based on BFOA gives better robust damping performance over wide range of operating conditions than SVC based on GA.…”

Section: Introductionmentioning

confidence: 99%

The Impact of Optimized PID Controller Based SVC on Power systems Stability Enhancement

2021

Aswan University Journal of Sciences and Technology

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The stability is the most important goal in any electrical network, and the control of this network is a part of the stability organization. This article presents application of three optimization algorithms, which are Henry Gas Solubility Optimization, Grey Wolf Optimization, and Ant Lion Optimization, to obtain the PID controller parameters for Static var compensator SVC connected to Single Machine Infinite Bus (SMIB) system. The suggested optimization techniques were used to choose the most accurate PID parameters to enhance the system stability. And then applied the proposed optimization algorithm which gives the best value of J-obj in the PID controller variables with the Static VAR Compensator's (SVC) variables to get the most suitable values for them which leads to more and faster stability than without the SVC then it compared with the Power System Stabilizer (PSS). So that the importance of installing optimized SVC based PID controller is evident.

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A Hybrid BBO-DE optimization with Eigen value analysis based transient stability improvement by coordinated design of SVC

Cited by 4 publications

References 4 publications

Adaptive Rat Swarm Optimization for Optimum Tuning of SVC and PSS in a Power System

Adaptive Rat Swarm Optimization for Optimum Tuning of SVC and PSS in a Power System

Transient Stability Analysis of a Transmission Network Using Eigenvalue Principles with Automated VAR Compensation: A Case Study of the Nigerian Eastern Grid

The Impact of Optimized PID Controller Based SVC on Power systems Stability Enhancement

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