scholarly journals A Novel Robust Methodology Based Salp Swarm Algorithm for Allocation and Capacity of Renewable Distributed Generators on Distribution Grids

Energies ◽  
2018 ◽  
Vol 11 (10) ◽  
pp. 2556 ◽  
Author(s):  
Mohamed Tolba ◽  
Hegazy Rezk ◽  
Ahmed A. Zaki Diab ◽  
Mujahed Al-Dhaifallah
Keyword(s):  
Radial Distribution ◽  
Optimization Algorithm ◽  
Distribution Networks ◽  
Practical Case ◽  
Salp Swarm Algorithm ◽  
Distributed Generators ◽  
Hybrid Particle Swarm Optimization ◽  
Grasshopper Optimization Algorithm ◽  
Radial Distribution Networks ◽  
Swarm Algorithm

A novel methodology based on the recent metaheuristic optimization algorithm Salp Swarm Algorithm (SSA) for locating and optimal sizing of renewable distributed generators (RDGs) and shunt capacitor banks (SCBs) on radial distribution networks (RDNs) is proposed. A multi-objective function index (MOFI) approach is used for assuring the power quality (PQ) through enhancing the voltage level in addition to minimizing the power losses of the system and the whole operating cost of the grid. The proposed methodology is tested via 33-Bus standard radial distribution networks at different scenarios to prove their validity and performance. The obtained results are compared with the Grasshopper Optimization Algorithm (GOA), and the hybrid Particle Swarm Optimization (PSO) and Gravitational Search Algorithm (PSOGSA). The SSA optimizer proved its superiority with high attitude and accuracy for solving the problems of RDGs’ and SCBs’ locations and capacities simultaneously. An Egyptian practical case study at different load levels via different scenarios including the control operation within 24 h is considered.

A new Hybrid Taguchi-salp swarm optimization algorithm for the robust design of real-world engineering problems

2021 ◽  
Vol 63 (2) ◽  
pp. 157-162
Author(s):  
Ali Rıza Yıldız ◽  
Mehmet Umut Erdaş
Keyword(s):  
Objective Function ◽  
Optimization Algorithm ◽  
Structural Design ◽  
Design Problem ◽  
Optimization Techniques ◽  
Stress Constraint ◽  
Element Analysis ◽  
Salp Swarm Algorithm ◽  
Grasshopper Optimization Algorithm ◽  
Swarm Algorithm

Abstract In this paper, a new hybrid Taguchi salp swarm algorithm (HTSSA) has been developed to speed up the optimization processes of structural design problems in industry and to approach a global optimum solution. The design problem is posed for the shape optimization of a seat bracket with a mass objective function and a stress constraint. Objective function evaluations are based on finite element analysis, while the response surface method is used to obtain the equations necessary for objective and constraint functions. Recent optimization techniques such as the salp swarm algorithm, grasshopper optimization algorithm and, Harris hawks optimization algorithm are used to compare the performance of the HTSSA in solving the structural design problem. The results show the hybrid Taguchi salp swarm algorithm’s ability and the superiority of the method developed for optimum product design processes.

scholarly journals Determining optimal location and size of capacitors in radial distribution networks using moth swarm algorithm

2020 ◽  
Vol 10 (5) ◽  
pp. 4514
Author(s):  
Thanh Long Duong ◽  
Thuan Thanh Nguyen ◽  
Van-Duc Phan ◽  
Thang Trung  Nguyen
Keyword(s):  
Radial Distribution ◽  
Power Loss ◽  
Solution Method ◽  
Distribution Networks ◽  
Test System ◽  
Optimal Location ◽  
Effective Solution ◽  
Voltage Profile ◽  
Radial Distribution Networks ◽  
Swarm Algorithm

In this study, the problem of optimal capacitor location and size determination (OCLSD) in radial distribution networks for reducing losses is unraveled by moth swarm algorithm (MSA). MSA is one of the most powerful meta-heuristic algorithm that is taken from the inspiration of the food source finding behavior of moths. Four study cases of installing different numbers of capacitors in the 15-bus radial distribution test system including two, three, four and five capacitors areemployed to run the applied MSA for an investigation of behavior and assessment of performances. Power loss and the improvement of voltage profile obtained by MSA are compared with those fromother methods. As a result, it can be concluded that MSA can give a good truthful and effective solution method for OCLSD problem.

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