FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4285795075> ?p ?o ?g. }

• W4285795075 endingPage "2510" @default.
• W4285795075 startingPage "2510" @default.
• W4285795075 abstract "In recent years, the occurrence of cascading failures and blackouts arising from cyber intrusions in the underlying configuration of power systems has increasingly highlighted the need for effective power management that is able to handle this issue properly. Moreover, the growing use of renewable energy resources demonstrates their irrefutable comparative usefulness in various areas of the grid, especially during cascading failures. This paper aims to first identify and eventually protect the vulnerable areas of these systems by developing a hybrid structure-based microgrid against malicious cyber-attacks. First, a well-set model of system vulnerability indices is presented to indicate the generation unit to which the lines or buses are directly related. Indeed, we want to understand what percentage of the grid equipment, such as the lines, buses, and generators, are vulnerable to the outage of lines or generators arising from cyber-attacks. This can help us make timely decisions to deal with the reduction of the vulnerability indices in the best way possible. The fact is that employing sundry renewable resources in efficient areas of the grid can remarkably improve system vulnerability mitigation effectiveness. In this regard, this paper proposes an outstanding hybrid-energy framework of AC/DC microgrids made up of photovoltaic units, wind turbine units, tidal turbine units, and hydrogen-based fuel cell resources, all of which are in grid-connect mode via the main grid, with the aim to reduce the percentage of the system that is vulnerable. To clearly demonstrate the proposed solution’s effectiveness and ease of use in the framework, a cyber-attack of the false data injection (FDI) type is modeled and developed on the studied system to corrupt information (for instance, via settings on protective devices), leading to cascading failures or large-scale blackouts. Another key factor that can have a profound impact on the unerring vulnerability analysis concerns the uncertainty parameters that are modeled by the unscented transform (UT) in this study. From the results, it can be inferred that vulnerability percentage mitigation can be achieved by the proposed hybrid energy framework based on its effectiveness in the system against the modeled cyber-attacks." @default.
• W4285795075 created "2022-07-19" @default.
• W4285795075 creator A5012890444 @default.
• W4285795075 creator A5061901055 @default.
• W4285795075 creator A5082032960 @default.
• W4285795075 creator A5086297619 @default.
• W4285795075 creator A5090324328 @default.
• W4285795075 date "2022-07-19" @default.
• W4285795075 modified "2023-09-30" @default.
• W4285795075 title "An Effective Hybrid-Energy Framework for Grid Vulnerability Alleviation under Cyber-Stealthy Intrusions" @default.
• W4285795075 cites W1964320264 @default.
• W4285795075 cites W2064111006 @default.
• W4285795075 cites W2107802551 @default.
• W4285795075 cites W2342622353 @default.
• W4285795075 cites W2608487769 @default.
• W4285795075 cites W2743413514 @default.
• W4285795075 cites W2764573849 @default.
• W4285795075 cites W2781022622 @default.
• W4285795075 cites W2951342946 @default.
• W4285795075 cites W2966703277 @default.
• W4285795075 cites W2981972145 @default.
• W4285795075 cites W2987370277 @default.
• W4285795075 cites W2998960369 @default.
• W4285795075 cites W3001336289 @default.
• W4285795075 cites W3021963930 @default.
• W4285795075 cites W3082240632 @default.
• W4285795075 cites W3108591536 @default.
• W4285795075 cites W3120264545 @default.
• W4285795075 cites W3125835663 @default.
• W4285795075 cites W3126027485 @default.
• W4285795075 cites W3138954248 @default.
• W4285795075 cites W3173450677 @default.
• W4285795075 cites W3179264644 @default.
• W4285795075 cites W3187629163 @default.
• W4285795075 cites W3192237783 @default.
• W4285795075 cites W3209405464 @default.
• W4285795075 cites W3210256085 @default.
• W4285795075 cites W3210548918 @default.
• W4285795075 cites W3216920652 @default.
• W4285795075 cites W3217406871 @default.
• W4285795075 cites W4206282304 @default.
• W4285795075 cites W4206999487 @default.
• W4285795075 cites W4224139482 @default.
• W4285795075 cites W4281615041 @default.
• W4285795075 cites W4281699188 @default.
• W4285795075 cites W4281725269 @default.
• W4285795075 doi "https://doi.org/10.3390/math10142510" @default.
• W4285795075 hasPublicationYear "2022" @default.
• W4285795075 type Work @default.
• W4285795075 citedByCount "4" @default.
• W4285795075 countsByYear W42857950752022 @default.
• W4285795075 countsByYear W42857950752023 @default.
• W4285795075 crossrefType "journal-article" @default.
• W4285795075 hasAuthorship W4285795075A5012890444 @default.
• W4285795075 hasAuthorship W4285795075A5061901055 @default.
• W4285795075 hasAuthorship W4285795075A5082032960 @default.
• W4285795075 hasAuthorship W4285795075A5086297619 @default.
• W4285795075 hasAuthorship W4285795075A5090324328 @default.
• W4285795075 hasBestOaLocation W42857950751 @default.
• W4285795075 hasConcept C10558101 @default.
• W4285795075 hasConcept C112930515 @default.
• W4285795075 hasConcept C119599485 @default.
• W4285795075 hasConcept C121332964 @default.
• W4285795075 hasConcept C127413603 @default.
• W4285795075 hasConcept C144133560 @default.
• W4285795075 hasConcept C163258240 @default.
• W4285795075 hasConcept C187691185 @default.
• W4285795075 hasConcept C188573790 @default.
• W4285795075 hasConcept C200601418 @default.
• W4285795075 hasConcept C2524010 @default.
• W4285795075 hasConcept C2776784348 @default.
• W4285795075 hasConcept C2778449969 @default.
• W4285795075 hasConcept C33923547 @default.
• W4285795075 hasConcept C38652104 @default.
• W4285795075 hasConcept C41008148 @default.
• W4285795075 hasConcept C41291067 @default.
• W4285795075 hasConcept C544738498 @default.
• W4285795075 hasConcept C62520636 @default.
• W4285795075 hasConcept C78519656 @default.
• W4285795075 hasConcept C78600449 @default.
• W4285795075 hasConcept C89227174 @default.
• W4285795075 hasConcept C95713431 @default.
• W4285795075 hasConceptScore W4285795075C10558101 @default.
• W4285795075 hasConceptScore W4285795075C112930515 @default.
• W4285795075 hasConceptScore W4285795075C119599485 @default.
• W4285795075 hasConceptScore W4285795075C121332964 @default.
• W4285795075 hasConceptScore W4285795075C127413603 @default.
• W4285795075 hasConceptScore W4285795075C144133560 @default.
• W4285795075 hasConceptScore W4285795075C163258240 @default.
• W4285795075 hasConceptScore W4285795075C187691185 @default.
• W4285795075 hasConceptScore W4285795075C188573790 @default.
• W4285795075 hasConceptScore W4285795075C200601418 @default.
• W4285795075 hasConceptScore W4285795075C2524010 @default.
• W4285795075 hasConceptScore W4285795075C2776784348 @default.
• W4285795075 hasConceptScore W4285795075C2778449969 @default.
• W4285795075 hasConceptScore W4285795075C33923547 @default.
• W4285795075 hasConceptScore W4285795075C38652104 @default.
• W4285795075 hasConceptScore W4285795075C41008148 @default.

• next