This research presents a Hybrid Particle Swarm Optimization with Bat Algorithm (HPSOBA) based
approach to solve Optimal Reactive Power Dispatch (ORPD) problem. The primary objective of
this project is minimization of the active power transmission losses by optimally setting the control
variables within their limits and at the same time making sure that the equality and inequality
constraints are not violated. Particle Swarm Optimization (PSO) and Bat Algorithm (BA)
algorithms which are nature-inspired algorithms have become potential options to solving very
difficult optimization problems like ORPD. Although PSO requires high computational time, it
converges quickly; while BA requires less computational time and has the ability of switching
automatically from exploration to exploitation when the optimality is imminent. This research
integrated the respective advantages of PSO and BA algorithms to form a hybrid tool denoted as
HPSOBA algorithm. HPSOBA combines the fast convergence ability of PSO with the less
computation time ability of BA algorithm to get a better optimal solution by incorporating the BA’s
frequency into the PSO velocity equation in order to control the pace. The HPSOBA, PSO and BA algorithms were implemented using MATLAB programming language and tested on three (3)
benchmark test functions (Griewank, Rastrigin and Schwefel) and on IEEE 30- and 118-bus test
systems to solve for ORPD without DG unit. A modified IEEE 30-bus test system was further used
to validate the proposed hybrid algorithm to solve for optimal placement of DG unit for active
power transmission line loss minimization. By comparison, HPSOBA algorithm results proved to
be superior to those of the PSO and BA methods.
In order to check if there will be a further improvement on the performance of the HPSOBA, the
HPSOBA was further modified by embedding three new modifications to form a modified Hybrid
approach denoted as MHPSOBA. This MHPSOBA was validated using IEEE 30-bus test system to
solve ORPD problem and the results show that the HPSOBA algorithm outperforms the modified
version (MHPSOBA). / Electrical and Mining Engineering / M. Tech. (Electrical Engineering)
| Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:unisa/oai:uir.unisa.ac.za:10500/23630 |
| Date | 06 1900 |
| Creators | Agbugba, Emmanuel Emenike |
| Contributors | Wang, Zenghui |
| Source Sets | South African National ETD Portal |
| Language | English |
| Detected Language | English |
| Type | Dissertation |
| Format | 1 online resource (xiii, 128 leaves) illustrations (some color) |
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