Mirsaeidi, Sohrab and Li, Shangru and Devkota, Subash and Li, Meng and He, Jinghan and Tzelepis, Dimitrios and Konstantinou, Charalambos and Mat Said, Dalila (2022) A power loss minimization strategy based on optimal placement and sizing of distributed energy resources. International Journal of Numerical Modelling: Electronic Networks, Devices and Fields, 35 (4). n/a. ISSN 0894-3370
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Official URL: http://dx.doi.org/10.1002/jnm.3000
Abstract
Due to the enhanced price of electricity, the gradual depletion of fossil fuels, and the global warming concerns, power loss minimization through deployment of distributed generators (DGs) has attracted significant attention in recent decades. This paper proposes a genetic algorithm (GA) based strategy for minimization of active and reactive power losses through optimal location and size of DGs. It also quantifies and tallies the total network power losses for the cases with random as well as optimal allocation of DGs. To validate the accuracy of the obtained results from GA, another nature-inspired optimization algorithm, cuckoo search, is also deployed. The simulation results on IEEE 30 and 118 bus systems indicate that the proposed strategy not only can effectively reduce the total network active and reactive power losses but also lead to the improvement of network voltage profile.
Item Type: | Article |
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Uncontrolled Keywords: | cuckoo search algorithm, distributed generator, genetic algorithm |
Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
Divisions: | Electrical Engineering |
ID Code: | 101371 |
Deposited By: | Narimah Nawil |
Deposited On: | 08 Jun 2023 09:55 |
Last Modified: | 08 Jun 2023 09:55 |
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