This paper investigates the impact of time-varying voltage-dependent load models on hybrid distributed generation planning studies. Firstly, a multi-objective index is constructed with indices namely real and reactive power loss index, voltage deviation index, and mega-volt-ampere capacity index with an objective of reduction of real and reactive power loss, voltage profile improvement, and decreased line loading. The multi-objective index derived is minimised to locate the distributed generation. Secondly, the analytical expression is obtained to size the distributed generation units with the time-varying voltage-dependent load models and probabilistic nature of solar and wind generation. Finally, the impact of load models with the generation effects is separately analysed for PV/wind (hybrid) distributed generation planning. The proposed perspective was validated on the IEEE 33-bus, IEEE 69-bus radial distribution network, and a real 16-bus distribution substation for its effectiveness because the distributed generators are placed in the distribution side of an electrical network. The outcomes reveal that the distributed generation allocation for time-varying voltage-dependent load model and probabilistic nature of solar and wind has significant impacts on the distribution system by reducing real and reactive power loss, improving voltage deviation and reduced mega-volt-ampere intake.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.