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AuthorZare Oskouei, Morteza
AuthorMehrjerdi, Hasan
AuthorBabazadeh, Davood
AuthorTeimourzadeh Baboli, Payam
AuthorBecker, Christian
AuthorPalensky, Peter
Available date2022-11-14T10:49:12Z
Publication Date2022
Publication NameApplied Energy
ResourceScopus
Resource2-s2.0-85125150568
URIhttp://dx.doi.org/10.1016/j.apenergy.2022.118721
URIhttp://hdl.handle.net/10576/36363
AbstractAs an achievement of innovations resulting from partitioning mechanisms, these mechanisms can contribute to the more flexible operation of power systems in local communities. The ever-increasing frequency and severity of unexpected real-time failures have created challenges for partitioned-based power system operators, affecting each partition's resiliency. With this in mind, this paper presents an adaptive local operation strategy (ALOS) for resilient scheduling of the renewable-dominated partitioned-based power systems under normal and islanding modes in a decentralized manner. The main objective of the developed ALOS lies in reaching an affordable preparedness level in each partition to deal with unscheduled islanding mode, which can occur subsequent to real-time failures at common lines between adjacent partitions on transmission level. To this end, a set of resilience-target constraints is presented to prepare sufficient spinning reserve capacity in each partition to ensure continuity of supply during islanding mode. The proposed strategy is formulated as a two-stage stochastic mixed-integer linear program (MILP), and the nested formation algorithm is employed to execute it in a hierarchical fashion based on the privacy-preserving protocols. Besides, the tri-state compressed air energy storage (CAES) system is also included in the proposed strategy to mitigate the negative consequences caused by real-time failures and uncertain sources. Numerical results conducted on the IEEE 30-bus test system reveal that the proposed ALOS can enhance the resilience of each partition in responding to unscheduled islanding mode by efficiently utilizing all available capacities on the generation side. Furthermore, the DIgSILENT PowerFactory is used to identify the worst possible series of events and to evaluate the effectiveness of the proposed resilience-promoting proactive strategy in dealing with these events. 2022 Elsevier Ltd
Languageen
PublisherElsevier
SubjectLocal operation
Nested strategy
Partitioning mechanisms
Privacy-preserving
Resiliency evaluation
TitleResilience-oriented operation of power systems: Hierarchical partitioning-based approach
TypeArticle
Volume Number312
dc.accessType Abstract Only


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