Effect of Optimal Multi-DG Siting and Sizing in Transmission System using Hybrid Optimization Technique for Loss Control
Sharifah A. Shaaya1, Ismail Musirin2, Shahril I. Sulaiman3, Mohd H. Mansor4, Sharifah A. S. Mustaffa5, Karmila Kamil6
1Sharifah A. Shaaya, Department of Electrical and Electronics, Engineering, College of Engineering, University Tenaga Nasional, Kajang, Selangor, Malaysia.
2Ismail Musirin, Faculty of Electrical Engineering, University Teknologi MARA, Shah Alam, Malaysia.
3Shahril I. Sulaiman, Faculty of Electrical Engineering, Universiti Teknologi MARA, Shah Alam, Malaysia.
4Mohd H. Mansor, Department of Electrical and Electronics Engineering, College of Engineering, University Tenaga Nasional, Kajang, Selangor, Malaysia.
5Sharifah A. S. Mustaffa, Department of Electrical and Electronics Engineering, College of Engineering, University Tenaga Nasional, Kajang, Selangor, Malaysia.
6Karmila Kamil, Department of Electrical and Electronics Engineering, College of Engineering, University Tenaga Nasional, Kajang, Selangor, Malaysia.
Manuscript received on September 22, 2019. | Revised Manuscript received on October 20, 2019. | Manuscript published on October 30, 2019. | PP: 2526-2530 | Volume-9 Issue-1, October 2019 | Retrieval Number: A2676109119/2019©BEIESP | DOI: 10.35940/ijeat.A2676.109119
Open Access | Ethics and Policies | Cite | Mendeley
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The advancement of Distributed Generation (DG) technologies have caused great impact to power system operation. The installation of DG has been expanded in both the transmission and distribution systems. Improper planning of DGs installation may lead to over-compensation or under-compensation. Thus, a reliable optimization is urgent to alleviate any undesirable event. This paper analyses the impact of multi-DGs installation utilizing a pre-developed hybrid optimization technique termed as Immunized-Brainstorm-Evolutionary Programming (IBSEP). It is imperative to study the effect of multi-DGs installation such that a relevant utility can make a correct decision, whether its installation is worth or vice versa. Rigorous study has been conducted in terms of identifying the optimal location and sizing, installed on transmission system for loss control involving different DG types. Comprehensive results embedded in this paper show that more optimal DGs of a particular type are superior to the other in controlling transmission system loss.
Keywords: Distributed Generation, Hybrid Optimization, Immunized-Brainstorm-Evolutionary Programming, Loss Control, Multi-DG.