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

Gupta, Sushil Kumar; Kar, Manoj Kumar; Kumar, Lalit; Kumar, Sanjay

doi:10.1155/2022/2165966

Cited by 12 publications

(5 citation statements)

References 33 publications

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“…The sine-cosine optimisation algorithm (SCA), as a new stochastic optimisation algorithm based on the population technique, contains two phases, namely, exploration and exploitation, and has the advantages of simple structure, easy implementation and fast convergence [26], which can be used in conjunction with the VMD algorithm to adaptively search for the optimal decomposition parameters K and α.…”

Section: Sine-cosine Optimisation Algorithm (Sca)mentioning

confidence: 99%

Transformer Fault Diagnosis Method Based on SCA-VMD and Improved GoogLeNet

Zhang,

Sun,

et al. 2024

Applied Sciences

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Aiming at the influence of the fundamental frequency and its harmonics in transformer vibration signals on fault signals, which cause a low fault identification rate and degradation of classification model performance, a new strategy is proposed for fault diagnosis using periodic map spectrum feature maps as input features. In this study, the optimal decomposition parameters were first found adaptively using the VMD improved by the positive cosine optimisation algorithm; then, the transformer vibration signal was modally decomposed, and the periodic map spectrum features were plotted according to the differences in the energy distribution of the different modal components at different frequencies. Finally, the GoogLeNet classification model with the improved attention mechanism assigned different weights to the feature maps in both spatial and channel dimensions to improve the classification accuracy and achieve transformer fault diagnosis. The experimental results verified the validity of the adopted feature map and the proposed model, and the accuracy was significantly improved to 99.04% compared with the traditional GoogLeNet, which is valuable for engineering applications.

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Section: Sine-cosine Optimisation Algorithm (Sca)mentioning

confidence: 99%

Transformer Fault Diagnosis Method Based on SCA-VMD and Improved GoogLeNet

Zhang,

Sun,

et al. 2024

Applied Sciences

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“…A unique technique  ISSN: 2252-8792 for optimally positioning FACTS controllers in multi-objective issues is explored [15]. A novel sine cosine algorithm is used in [16] to address the minimizing of loss and running cost. The selection of weak buses is determined for establishing a reactive power supply.…”

Section: Introductionmentioning

confidence: 99%

Series and shunt FACTS controllers based optimal reactive power dispatch

Kar,

Parida,

Dash

2024

IJAPE

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Optimal reactive power dispatch involves the determination and management of reactive power resources in a power system to maintain voltage stability, improve power transfer capability, and minimize system losses. Reactive power is essential for maintaining voltage levels within acceptable limits and ensuring the reliable operation of electrical networks. The whale optimization algorithm (WOA) has been proposed to obtain the optimal location of flexible alternating current transmission system (FACTS) components. The efficacy of WOA is tested using conventional IEEE 14 and 30 bus test systems. Static var compensator (SVC) is used as shunt and the thyristor-controlled series capacitor (TCSC) as a series FACTS controller. The analysis is carried out for both the systems with and without FACTS controllers. Optimization techniques are applied to select the optimal control parameters. The suggested strategy is compared to other contemporary techniques such as particle swarm optimization (PSO) and grey wolf optimization (GWO). At various loading situations, the WOA-based technique outperforms other two techniques.

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“…In the 80s, the main goal of providing FACTS tools was to increase the power transfer capability of existing lines, in order to postpone investment and prevent the construction of new lines and increase the level of power exchanges between producers and consumers [1].The paper is presented for the development of the research conducted in the field of optimal placement of FACTS devices in order to reduce power losses and improve network load ability, which is the improvement of static voltage stability, and the performance of TCSC in improving the target functions will be evaluated. So far, a lot of research has been done in this field, including: In [2], the optimal location and capacity of TCSC is determined in order to increase network load. FACTS tools such as TCSC are one of the introduced tools that can increase the network's load at a lower cost.…”

Section: Introductionmentioning

confidence: 99%

Optimal Power Flow in the Presence of HVDC Lines Along With Optimal Placement of FACTS in Order to Power System Stability Improvement in Different Conditions: Technical and Economic Approach

2023

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Due to the high cost of investment for the development of the transmission network and the key role of transmission networks in the restructured environment, the use of FACTS devices is considered a key issue. In this paper, two issues of location and optimal capacity of TCSC in transmission networks has been investigated. In the proposed method, the objective function is defined in order to reduce losses and increase network load ability. This problem was studied in two technical and economic approaches and its results were presented. For this purpose, first, the problem of locating in peak load conditions of the network was done separately and then simultaneously in the technical approach. Next, in the economic approach, the cost of installing the equipment in question was also included in the optimization problem. In this approach, the profit from installing TCSC is considered as the objective function of the problem and the best place and capacity of the equipment was determined in order to achieve the maximum amount of profit. Average models available in the references have been used to model FACTS devices. Also, due to the contingency in the network, the improvement of the maximum load ability of the network lines under the outages conditions of the line and generator has been discussed. In order to two-objective optimization in the technical approach, the genetic algorithm based on the Pareto front and the multi-objective HSA has been used. This algorithm has a good speed in the convergence of large nonlinear problems. Also, a comprehensive and new model with the combination of TCSC-high-voltage direct current (HVDC)-static VAR compensators (SVC) has been introduced and the intended simulation has been performed. Finally, with the help of a new meta-heuristic algorithm, the topic of optimal power flow in the presence of these devices has been comprehensively presented and the results have been compared with similar methods. The results of numerical studies show that FACTS devices can have a significant effect in reducing losses and increasing network load ability.Also, the type of equipment used has a great impact on the outcome of the problem. As it is clear from the results of the simulations, in the technical approach, in order to achieve the lowest amount of losses in the IEEE 30-buses network by installing the equipment, TCSC should be installed in line number 15 between buses 4 and 12. The best amount of reactance compensation of this line was about 79.90% of the line reactance, as a result of which the network power loss was reduced by about 4.17%. Also, in the continuation of the simulations, the best place and capacity to install TCSC in the network was determined in order to improve the network load ability. As a result of this simulation, the best location of line 36 between buses 27 and 28 was determined, and the best amount of reactance compensationThe associate editor coordinating the review of this manuscript and approving it for publication was Ahmed F. Zobaa .

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

Cited by 12 publications

References 33 publications

Transformer Fault Diagnosis Method Based on SCA-VMD and Improved GoogLeNet

Transformer Fault Diagnosis Method Based on SCA-VMD and Improved GoogLeNet

Series and shunt FACTS controllers based optimal reactive power dispatch

Optimal Power Flow in the Presence of HVDC Lines Along With Optimal Placement of FACTS in Order to Power System Stability Improvement in Different Conditions: Technical and Economic Approach

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