Efficient utilization of power system network through optimal location of
            <scp>FACTS</scp>
            devices using a proposed hybrid
            <scp>meta‐heuristic Ant Lion‐Moth Flame‐Salp Swarm</scp>
            optimization algorithm

Dash, Stita Pragnya; Subhashini, K. R.; Satapathy, J.K.

doi:10.1002/2050-7038.12402

Cited by 18 publications

(7 citation statements)

References 27 publications

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“…ACO algorithm is a discrete meta-heuristic optimization method, inspired by the way that ants indirectly communicate directions to each other and has become well-known for solving various optimization problems [29,30]. It is inspired by swarm intelligence (SI), where a colony of artifcial ants cooperates to fnd, in a variety of static and dynamic optimization problems, efcient solutions.…”

Section: Introductionmentioning

confidence: 99%

FPGA-Based Hardware in the Loop of Optimized Synergetic Controller for Active Power Filter

Bey

Krim

Gherouat

2023

International Transactions on Electrical Energy Systems

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This paper presents a discrete-time synergetic controller (DTSC) enhanced with ant colony optimization (ACO) technique for a shunt active power filter (SAPF). The developed controller is designed under MATLAB/Simulink environment; then, field-programmable gate array (FPGA) in the loop (FIL) technique is used to implement the DTSC model. The proposed DTSC parameters are optimally tuned according to ACO methodology. The DTSC-ACO should enhance power quality and eliminate grid current harmonics using an indirect current-controlled three-phase SAPF. Note that, the designed FPGA controller integrates the items needed to drive the SAPF. This digital implementation satisfies the hardware and recommended performance. In fact, it reduces significant resources and execution time. The experimental validation is carried out on Virtex-6 ML605 FPGA Xilinx Evaluation Kit using VIVADO processing. A total harmonic distortion (THD = 2.72%) is obtained for the grid current. Thus, the results obtained confirm proper operation of the developed approach. In addition, the proposed DTSC shows good dynamic performance during load step change and output voltage variation.

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Section: Introductionmentioning

confidence: 99%

FPGA-Based Hardware in the Loop of Optimized Synergetic Controller for Active Power Filter

Bey

Krim

Gherouat

2023

International Transactions on Electrical Energy Systems

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“…Some researchers also used hybrid methods to achieve the same objective with better performance. Through a hybrid technique that combines ant‐lion, salp‐swarm, and moth flame optimizations (Dash et al, 2020), and hybridization of crow search algorithm and JAYA algorithm (Karmakar & Bhattacharyya, 2020) the suggested work intends to establish an optimal balance between power available and cost incurred for the same.…”

Section: Introductionmentioning

confidence: 99%

Statistical analysis based reactive power optimization using improved differential evolutionary algorithm

2022

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This study presents a novel improved differential evolutionary (IDE) algorithm for optimizing reactive power management (RPM) problems. The effectiveness of IDE algorithm is tested on different unimodal and multimodal benchmark functions. The objective function of the RPM is considered as the minimization of active power losses. Initially, the power flow analysis approach is employed to detect the optimal position of flexible AC transmission system (FACTS) devices. The proposed method is used to determine the optimal value of control variables such as generator's reactive power generation, transformer tap settings, and reactive power sources. Furthermore, the efficacy of the IDE approach is compared with other promising optimization methods such as variants of differential evolution algorithm, moth flame optimization (MFO), brainstorm-based optimization algorithm (BSOA), and particle swarm optimization (PSO) on various IEEE standard test bus (i.e., IEEE-30, -57, -118, and -300) systems with active and reactive loading incorporating FACTS devices. A Static VAR compensator (SVC) for shunt compensation and a thyristor-controlled series compensator (TCSC) for series compensation were used as FACTS devices.The proposed IDE method significantly reduces the active power loss, that is, 55.65% in IEEE 30, 39.68% in IEEE 57, 16.32% in IEEE 118, and 8.56% in IEEE 300 bus system at nominal loading. Finally, the statistical analysis such as Wilcoxon signed-rank test (WSRT) and ANOVA test were thoroughly analysed to demonstrate the firmness and accuracy of the proposed technique.active power loss, FACTS devices, improved differential evolution, load flow analysis, optimal placement, statistical analysisExisting power transmission lines operating under extreme stress and transmitting power close to their thermal limits which causes grid disruptions and violations of different operating constraints. In this scenario, reactive power management becomes a challenging task for power

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“…Te voltage profle was found to be enhanced by applying GSA in [23], considering nominal and contingency conditions. Te maximum load ability was achieved by incorporating FACTS controllers with an objective to minimize cost in [24]. To achieve the same, the authors used a hybrid AL-MF-SS method and tested on the standard IEEE-6 and IEEE-30 bus system.…”

Section: Introductionmentioning

confidence: 99%

A Simplified Sine Cosine Algorithm for the Solution of Optimal Reactive Power Dispatch

Gupta

Kar

Kumar

et al. 2022

International Transactions on Electrical Energy Systems

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In this article, a simplified sine cosine algorithm (SSCA) is applied to solve the optimal reactive power dispatch (ORPD) issues by estimating the control variables. This algorithm uses sine cosine functions and generates number of random solutions to obtain the best solution by fluctuating inwards or outwards. The SSCA is implemented in the ORPD problem to find the best control variables to achieve minimum power loss and maximum net savings. Furthermore, the efficacy of SSCA is validated with other recently used algorithms considering three case studies, i.e., IEEE-30, -57, and -118 bus test system. The results show that the SSCA approach finds more precise and superior ORPD solutions. A comparison among SSCA and other methods proves the robustness of SSCA to attain the solution with faster convergence. The statistical analysis is performed to justify the effectiveness of SSCA by yielding minimum operating cost and maximum net savings as compared to other techniques considered in this study.

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Efficient utilization of power system network through optimal location of FACTS devices using a proposed hybrid meta‐heuristic Ant Lion‐Moth Flame‐Salp Swarm optimization algorithm

Cited by 18 publications

References 27 publications

FPGA-Based Hardware in the Loop of Optimized Synergetic Controller for Active Power Filter

FPGA-Based Hardware in the Loop of Optimized Synergetic Controller for Active Power Filter

Statistical analysis based reactive power optimization using improved differential evolutionary algorithm

A Simplified Sine Cosine Algorithm for the Solution of Optimal Reactive Power Dispatch

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