The distributed generations (DGs) and dynamic voltage restorer (DVR) play an important role in the context of environmental problems and sustainable development throughout the world. The traditional DG and DVR locating and sizing method is based on a fixed network structure, which is assumed to be unchangeable during the planning period. The research presented here discusses a hybrid approach working on Monte Carlo simulation (MCS) and genetic algorithm (GA), which can be used for enhancement of system power factor (SPF) and voltage profile (VP) by the integration of DGs with DVR planning in distribution networks with ZIP load models from the minimization of total real power loss of the system viewpoint. The proposed methodology was applied to a 75-bus distribution network. This article is useful for researchers as well as practitioners who are working in the fields of integration of DG with DVR for improvement of system performances such as power factors and voltage profile from minimizing the losses.
The integration of distributed generations (DGs), dynamic voltage restorer (DVR), and distribution static compensator (DSC) plays an important role in the context of environmental problems and sustainable development throughout the world. The traditional DG, DVR, and DSC locating and sizing methods are based on a fixed network structure, which is assumed to be unchangeable during the planning period. The research presented here discusses a hybrid approach working on genetic algorithm (GA) and Monte Carlo simulation (MCS) which can be used for enhancement of system power factor (SPF) and voltage profile (VP) by the integration of DG, DVR, and DSC planning in distribution networks with constant impedance (Z), constant current (I), constant power (P) load models (ZIP-LMs) from the minimization of total real power loss of the system viewpoint. The proposed methodology is applied to a 75-bus distribution network. This article is useful for researchers as well as practitioners who are working in the fields of integration of DG, DVR, and DSC for the improvement of system performances such as SPF and voltage profile from the minimization of total real power loss of the system viewpoint.
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.