Optimal Allocation and Hourly Scheduling of Capacitor Banks Using Sine Cosine Algorithm for Maximizing Technical and Economic Benefits

ABSTRACT—

This article introduces a problem solution of optimal allocation and hourly scheduling of capacitor banks (C-Bs) using the sine cosine optimization algorithm (SCA) to maximize the cost saving and enhance the system reliability. The impact of reliability enhancement reveals in the objective function as a reduction of energy not supplied cost. The optimal location and size of C-Bs are determined based on two strategies; strategy 1, loss sensitivity factor is used to select the candidate buses after that optimal size of C-Bs is determined by SCA while in strategy 2, the optimal location and size of C-Bs are determined by SCA. The proposed algorithm is tested on IEEE 33 and 69-bus radial distribution systems with different scenarios of single and multi-C-Bs installation. Also the daily load variations have been considered to optimally schedule switched C-Bs steps. The simulation results using Matlab programing environment have been verified using the non-parametric Wilcoxon signed rank statistical test. The superiority of proposed algorithm is also ensured by comparing its results with other optimization methods.

Keywords:

• distribution networks
• optimization
• sine cosine algorithm
• capacitor banks
• switched capacitors

Disclosure Statement

No potential conflict of interest was reported by the authors.

Additional information

Notes on contributors

Abdelazeem A. Abdelsalam

Abdelazeem A. Abdelsalam is an Associate Professor at Suez Canal University, Egypt. He was a post doctorate fellow at University of Ontario Institute of Technology (UOIT), Canada. He received his B.Sc., M.Sc. and Ph.D. degrees in Electrical Engineering from Suez Canal University, Egypt in 2001, 2005, and 2011, respectively. He is a Member of the IEEE. His research areas include power quality, D-FACTS technology, switched filter compensators, microgrid interface and control and application of artificial intelligence techniques on power systems.

Hany S. E. Mansour

Hany S. E. Mansour received the B.Sc. degree from the electrical engineering department, Suez Canal University, Egypt, in 2013. He is currently an assistant lecturer and a PhD candidate at the electrical engineering department, Suez Canal University, Egypt. His research is focused on distribution networks operation and control, demand-side management and application of optimization algorithms in power systems.