Using Harris Hawks Optimization to Determine Optimal Placement and Sizing of Shunt Capacitors and Distributed Generators
Abstract
The power supply problem represents one of the never-ending problems that constantly remain prominent. Consequently, we continuously improve power generators, networks, and system configurations. The installation of shunt capacitors and distributed generators represents the main improvement. Because electricity systems are constantly growing, maximizing benefits and minimizing disadvantages is necessary. Therefore, one of the most important aspects of growing algorithms is optimization. In this work, Harries Hawks Optimization (HHO) is the optimization technique suggested to calculate and determine the optimal size of the shunt capacitors and distribution generation on the radial distribution system. The reconfiguration method (RM) is an approach that refers to the best and optimal location of the distribution generation and the shunt capacitor. The main goal of selecting the optimal size (using HHO) and optimal placement (using RM) is to minimize the voltage deviation. This paper presents three cases: the first case includes determining the optimal voltage deviation after installing shunt capacitors on radial distribution networks; the second case involves calculating the optimal voltage deviation after installing distribution generation on this system. The last case is conducted to calculate the optimal voltage deviation after installing SC and DG simultaneously. Results of the proposed HHO algorithm show a considerable reduction in the voltage deviation rate. That is, the voltage deviation is minimized to 38.95%, 75.13%, and 90.23 % in the three cases, respectively. The proposed approaches (HHO and RM) are applied to the IEEE 69-bus power system. Three scenarios have been used to demonstrate the effectiveness and superiority of the suggested methods.
Fields of Study & Subjects
Optimal Power Flow Distribution
Power System Optimization and Stability
Electric Power System Optimization
Publication details
- Journal / source
- Journal of Engineering and Sustainable Development
- Publisher
- Mustansiriyah University College of Engineering
- Volume
- 30
- Issue
- 2
- Pages
- 134–143
- Publication date
- 1 March 2026
- Language
- EN