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

Mohamed Tolba, Hegazy Rezk, Ahmed A. Zaki Diab and Mujahed Al-Dhaifallah
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Mohamed Tolba: Nuclear Researches Center, Egyptian Atomic Energy Authority, 11787 Cairo, Egypt
Hegazy Rezk: College of Engineering at Wadi Addawaser, Prince Sattam Bin Abdulaziz University, 11991 Wadi Addawaser, Saudi Arabia
Ahmed A. Zaki Diab: Electrical Engineering Dept., Faculty of Engineering, Minia University, 61111 Minia, Egypt
Mujahed Al-Dhaifallah: College of Engineering at Wadi Addawaser, Prince Sattam Bin Abdulaziz University, 11991 Wadi Addawaser, Saudi Arabia

Energies, 2018, vol. 11, issue 10, 1-34

Abstract: 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.

Keywords: salp swarm algorithm; renewable generators; shunt capacitors; MOFI; RDN (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)

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