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TitleComprehensive operational planning framework for self-healing control actions in smart distribution grids
 
AuthorArefifar, S AORCID logo; Mohamed, Y; El-Fouly, TORCID logo
SourceIEEE Transactions on Power Systems vol. 28, issue 4, 2013 p. 4192-4200, https://doi.org/10.1109/TPWRS.2013.2259852
Year2013
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Documentserial
Lang.English
Mediaon-line; digital
File formatPDF
SubjectsControl
Released2013 05 14
AbstractSelf-healing is a major driving force in the smart grid vision. This paper proposes a comprehensive design and operational planning framework to generate optimum self-healing control actions in a distribution system. For this purpose, a distribution system with optimally allocated distributed generators (DGs) is divided into a set of microgrids with high self-adequacy through allocation of distributed energy storage resources (DESRs) and distributed reactive sources (DRSs). Afterwards, by using the predicted load and generation of renewable-based distributed generators for the next hour of the day and other important factors (self-adequacy in the unfaulted microgrids, total distribution system's energy losses and the total supplied loads according to their requested reliability), the optimum self-healing strategy is planned for the system for all possible future faults. The IEEE 123-bus distribution system is selected as the test system; optimum microgrids are designed and several case studies are presented to demonstrate the effects of optimization coefficients on the optimum self-healing control actions.
Summary(Plain Language Summary, not published)
Electric utility engineers nowadays are facing new challenges to improve the operation of power distribution systems. Introducing distributed energy resources, advanced metering, communication and control technologies at the distribution level has changed the structure of conventional distribution systems to a faster-acting, potentially more controllable and reliable grid, so-called "smart grid". Self-healing is an important feature in smart distribution systems, which deals with the algorithms for taking preventative actions or to handle problems after they occur. In case of major faults in a distribution system, the system's ability to restore itself and supply power to as many loads as possible, makes the system more stable and trustworthy. This paper proposes a comprehensive design and operational planning framework to generate optimum self-healing control actions in a distribution system.
GEOSCAN ID298984

 
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