Simultaneous Allocation of Multiple Distributed Generators and Shunt Capacitor Banks in Radial Distribution Systems using Grasshopper Optimization Algorithm

2020 ◽  
Vol 16 (5) ◽  
pp. 1
Author(s):  
Suresh Velamuri ◽  
Suresh Kumar Sudabattula ◽  
Kowsalya M
Keyword(s):  
Radial Distribution ◽  
Optimization Algorithm ◽  
Distribution Systems ◽  
Capacitor Banks ◽  
Distributed Generators ◽  
Grasshopper Optimization Algorithm ◽  
Grasshopper Optimization ◽  
Shunt Capacitor

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.

Robust design of a robot gripper mechanism using new hybrid grasshopper optimization algorithm

2021 ◽  
Author(s):  
Betül Sultan Yildiz ◽  
Nantiwat Pholdee ◽  
Sujin Bureerat ◽  
Ali Riza Yildiz ◽  
Sadiq M. Sait
Keyword(s):  
Robust Design ◽  
Optimization Algorithm ◽  
Robot Gripper ◽  
Grasshopper Optimization Algorithm ◽  
Grasshopper Optimization
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