Mitigation of power quality issues in smart grid using levy flight based moth flame optimization algorithm

2021 ◽  
Author(s):  
K. R. Suja
Keyword(s):  
Smart Grid ◽  
Power Quality ◽  
Optimization Algorithm ◽  
Lévy Flight ◽  
Levy Flight ◽  
Quality Issues ◽  
Moth Flame Optimization Algorithm

scholarly journals An Improved Moth-Flame Optimization Algorithm for Engineering Problems

Symmetry ◽  
2020 ◽  
Vol 12 (8) ◽  
pp. 1234
Author(s):  
Yu Li ◽  
Xinya Zhu ◽  
Jingsen Liu
Keyword(s):  
Optimization Algorithm ◽  
Local Development ◽  
Global Search ◽  
Population Diversity ◽  
Lévy Flight ◽  
Test Functions ◽  
Levy Flight ◽  
Engineering Design Problems ◽  
Engineering Problems ◽  
Moth Flame Optimization Algorithm

In this paper, an improved moth-flame optimization algorithm (IMFO) is presented to solve engineering problems. Two novel effective strategies composed of Lévy flight and dimension-by-dimension evaluation are synchronously introduced into the moth-flame optimization algorithm (MFO) to maintain a great global exploration ability and effective balance between the global and local search. The search strategy of Lévy flight is used as a regulator of the moth-position update mechanism of global search to maintain a good research population diversity and expand the algorithm’s global search capability, and the dimension-by-dimension evaluation mechanism is added, which can effectively improve the quality of the solution and balance the global search and local development capability. To substantiate the efficacy of the enhanced algorithm, the proposed algorithm is then tested on a set of 23 benchmark test functions. It is also used to solve four classical engineering design problems, with great progress. In terms of test functions, the experimental results and analysis show that the proposed method is effective and better than other well-known nature-inspired algorithms in terms of convergence speed and accuracy. Additionally, the results of the solution of the engineering problems demonstrate the merits of this algorithm in solving challenging problems with constrained and unknown search spaces.

scholarly journals Multiverse Optimization Algorithm Based on Lévy Flight Improvement for Multithreshold Color Image Segmentation

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 32805-32844 ◽  
Author(s):  
Heming Jia ◽  
Xiaoxu Peng ◽  
Wenlong Song ◽  
Chunbo Lang ◽  
Zhikai Xing ◽  
...  
Keyword(s):  
Image Segmentation ◽  
Optimization Algorithm ◽  
Color Image ◽  
Color Image Segmentation ◽  
Lévy Flight ◽  
Levy Flight

DEVELOPMENT OF BONOBO ALGORITHM AND ITS APPLICATION FOR OPTIMAL COORDINATION OF DIRECTIONAL OVERCURRENT RELAYS IN POWER SYSTEMS

10.6036/10060 ◽  
2021 ◽  
Vol 96 (5) ◽  
pp. 492-497
Author(s):  
MOHAMMED ABDELHAMID ◽  
SALAH KAMEL ◽  
ALI SELIM ◽  
MOHAMED MOHAMED ◽  
MAHDROUS AMED ◽  
...  
Keyword(s):  
Power Systems ◽  
Optimization Algorithm ◽  
Operating Time ◽  
Lévy Flight ◽  
Levy Flight ◽  
System Protection ◽  
Total Operating Time ◽  
Overcurrent Relays ◽  
Optimal Coordination ◽  
Operational Constraints

In this paper, an improved Bonobo optimization algorithm (IBO) is proposed to solve the optimal coordination of directional overcurrent relays (DOCRs) problem. This problem is important for power system protection. It is considered a nonlinear and highly constrained optimization problem. IBO aims to improve the performance of the original Bonobo optimization algorithm (BO) using Levy flight distribution and three leaders selection. Both BO and IBO are utilized to develop two solvers for optimal coordination of DOCRs. The 15-bus and 30-bus test systems are used to validate BO and IBO in minimizing the total operating time of relays with satisfying the operational constraints. The results of the proposed IBO algorithm have been compared with the original BO algorithm and other well-known algorithms. The obtained results confirmed the effectiveness and superiority of the proposed IBO algorithm compared with the other algorithms in minimizing the total operating time of relays for the optimal coordination of DOCRs. Keywords: Directional overcurrent relays; Optimal coordination; Improved Bonobo algorithm; Levy flight distribution; Three leaders selection.

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