1. Introduction
The integration of distributed generation into radial distribution networks can significantly reduce line losses and improve voltage regulation when units are optimally sited, but naive or load-proportional placement can introduce reverse power flow and voltage violations.
2. Methodology
The DG placement and sizing problem was formulated to minimise total real power loss subject to voltage and thermal constraints, and solved using Grey Wolf Optimization with a population of 30 search agents over 100 iterations on the IEEE 33-bus and 69-bus radial test systems, with backward-forward sweep load flow used for fitness evaluation.
3. Results
On the 33-bus system, optimal placement of three DG units reduced real power losses from 202.7 kW to 76.2 kW (62.4 percent reduction) and raised the minimum bus voltage from 0.913 pu to 0.968 pu. Comparable improvements of 58.9 percent loss reduction were observed on the 69-bus system, exceeding results reported for PSO and GA in comparable prior studies.
4. Conclusion
Grey Wolf Optimization proves effective and computationally efficient for joint DG siting and sizing in distribution networks. Future work will extend the formulation to include time-varying load and DG output profiles.
References
[1] Mirjalili S. et al., Grey Wolf Optimizer, Advances in Engineering Software, 2014. [2] Kansal S. et al., Optimal placement of distributed generation in distribution networks, IJEPES, 2013. [3] Gozel T. and Hocaoglu M. H., An analytical method for the sizing and siting of DG, Electric Power Systems Research, 2009.