Distributed generation (DG) resources based on solar and wind energies are among the DGs that can optimize the voltage profile and reduce network losses by optimal locating and sizing in distribution systems. In this paper, 4-Rule Harmony Search (4-RHS) algorithm is presented for optimal placement and sizing of the renewable DG resources. In this regard, installation of the DG is performed by loss sensitivity factors first in the most candidate buses. Then, the 4-RHS is employed for placement and sizing of DGs from the selected buses. In 4-RHS, an extra rule is added to standard HS. The 4-RHS is studied on IEEE 69-bus distribution system. The results comparison of the 4-RHS algorithm with the standard HS algorithm and other optimization methods in the literature shows the efficiency and effectiveness of the 4-RHS in finding the optimal location and size of renewable DG resources and subsequently reducing losses and improving voltage profiles.
|Title of host publication
|Proceedings of 6th International Conference on Harmony Search, Soft Computing and Applications - ICHSA 2020
|Sinan Melih Nigdeli, Gebrail Bekdas, Joong Hoon Kim, Anupam Yadav
|Springer Science and Business Media Deutschland GmbH
|Number of pages
|Published - 2021
|6th International Conference on Harmony Search, Soft Computing and Applications, ICHSA 2020 - Istanbul, Turkey
Duration: 2020 Apr 22 → 2020 Apr 24
|Advances in Intelligent Systems and Computing
|6th International Conference on Harmony Search, Soft Computing and Applications, ICHSA 2020
|20/4/22 → 20/4/24
Bibliographical noteFunding Information:
Acknowledgments This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. 2019R1A2B5B03069810).
© 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
- 4-rule harmony search
- Distributed generation
- Harmony search
- Loss reduction
- Optimal placement
- Voltage profile improvement
ASJC Scopus subject areas
- Control and Systems Engineering
- General Computer Science