Real-Power Rescheduling of Generators for Congestion Management Using a Novel Satin Bowerbird Optimization Algorithm

Chintam, Jagadeeswar Reddy; Daniel, M Jason

doi:10.3390/en11010183

Cited by 49 publications

(29 citation statements)

References 20 publications

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“…The second class of algorithms includes Firefly1 and Firefly2, variants of Firefly algorithms considering the updating rules (31) and (36) respectively. In our tests the parameters were set as follows: β 0 = 2, γ = 2, α damp = 0.98 and the population size is 30.…”

Section: Resultsmentioning

confidence: 99%

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New Evolutionary-Based Techniques for Image Registration

Cocianu¹,

Stan²

2019

Applied Sciences

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The work reported in this paper aims at the development of evolutionary algorithms to register images for signature recognition purposes. We propose and develop several registration methods in order to obtain accurate and fast algorithms. First, we introduce two variants of the firefly method that proved to have excellent accuracy and fair run times. In order to speed up the computation, we propose two variants of Accelerated Particle Swarm Optimization (APSO) method. The resulted algorithms are significantly faster than the firefly-based ones, but the recognition rates are a little bit lower. In order to find a trade-off between the recognition rate and the computational complexity of the algorithms, we developed a hybrid method that combines the ability of auto-adaptive Evolution Strategies (ES) search to discover a global optimum solution with the strong quick convergence ability of APSO. The accuracy and the efficiency of the resulted algorithms have been experimentally proved by conducting a long series of tests on various pairs of signature images. The comparative analysis concerning the quality of the proposed methods together with conclusions and suggestions for further developments are provided in the final part of the paper.

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Section: Resultsmentioning

confidence: 99%

“…Note that the APSO and Firefly parameters β 0 and γ are usually set in (0, 10) [25,31]. In order to tune the parameters values to the considered registration problem, we have implemented a standard self-adaptive method.…”

Section: Resultsmentioning

confidence: 99%

New Evolutionary-Based Techniques for Image Registration

Cocianu¹,

Stan²

2019

Applied Sciences

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“…In [19][20][21][22][23], Various techniques are introduced for various applications. Figure 1 illustrates the proposed single anchor node which could identify the position of static sensor node in respective network.…”

Section: Related Workmentioning

confidence: 99%

“…The mapping of level (l-1) with level (l) is done by replacing each vertex of the four basic curves, C1;C2;C3;C4 with that of level (l-1), as depicted [19] in Figure 2(a). For this, the level could be rotated in apt manner and made to reflect for getting fit to the new curve.…”

Section: Z-curve Trajectorymentioning

confidence: 99%

Scan and Z-Curve Trajectory for Mobile Anchor in Localization of Wireless Sensor Network

Subramanian¹,

Balakannan²

2019

IJRTE

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In the recent decades, Wireless Sensor Networks has become an inevitable and dependable research area in the field of communication. Sensor Networks is an apt application for the complicated and instant communication fields like the surveillance in the military services, monitoring of medical analysis and research, detecting forest fire break outs, and detection of acoustics. For an effective application of sensor networks, the research issue shall be laid on the path planning. By path planning it is meant the path through which the mobile beacon should travel without any interruption by enhancing the accuracy in localization process. Of late Global Positioning System (GPS) has become a reliable means for its precision in sensor localization. However, GPS does not provide cost-efficiency or energy-efficiency. As a result, single GPS could be positioned along the travel path. To optimize this constraint, in this paper, an attempt is made to derive the performances of two path planning techniques namely Z-curve and SCAN. It is known that in sensor localizing and for broadcasting of data, the mobile beacon is determined to travel in both directions, viz forward and backward. Comparison is made between the Z-curve trajectory positioned with mobile beacon and SCAN trajectory affixed with mobile beacon having a path planning scheme. The comparison results showed that Z-curve method yielded better performance in terms of high precision and short duration for localization. Further, Z-curve produced only minimum localization error.

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“…Control variables are voltage of generation buses, on load tap-changer setting of transformers and generated reactive power of capacitor banks, while dependent variables are voltage of load buses, apparent power flow of transmission lines, and reactive power of generators. So, the major objectives of such ORPF problem is to find control variable so that others have values falling into a permitted operating range [1,2]. Traditionally, the ORPF problem concentrates on reducing three individual objectives such as power losses of transmission lines, voltage deviation, and voltage stability index.…”

Section: Introductionmentioning

confidence: 99%

Optimal Reactive Power Flow for Large-Scale Power Systems Using an Effective Metaheuristic Algorithm

Duong

Phan

et al. 2020

Journal of Electrical and Computer Engineering

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In this paper, stochastic fractal search method (SFS) is employed for solving the optimal reactive power flow (ORPF) problem with a target of optimizing total active power losses (TPL), voltage deviation (VD), and voltage stability index (VSI). SFS is an effective metaheuristic algorithm consisting of diffusion process and two update processes. ORPF is a complex problem giving challenges to applied algorithms by taking into account many complex constraints such as operating voltage from generators and loads, active and reactive power generation of generators, limit of capacitors, apparent power limit from branches, and tap setting of transformers. For verifying the performance, solutions of IEEE 30 and 118-bus system with TPL, VD, and VSI objectives are found by the SFS method with different control parameter settings. Result comparisons indicate that SFS is more favorable than other methods about finding effective solutions and having faster speed. As a result, it is suggested that SFS should be used for ORPF problem, and modifications performed on SFS are encouraged for better results.

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Real-Power Rescheduling of Generators for Congestion Management Using a Novel Satin Bowerbird Optimization Algorithm

Cited by 49 publications

References 20 publications

New Evolutionary-Based Techniques for Image Registration

New Evolutionary-Based Techniques for Image Registration

Scan and Z-Curve Trajectory for Mobile Anchor in Localization of Wireless Sensor Network

Optimal Reactive Power Flow for Large-Scale Power Systems Using an Effective Metaheuristic Algorithm

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