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Resilience Modeling And Assessment Of Power Systems Considering The Extreme Meteorological Disasters

Posted on:2020-01-15Degree:MasterType:Thesis
Country:ChinaCandidate:Y H YangFull Text:PDF
GTID:2480306485956789Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
Resilience describes the system capability of defense and recovery to withstand extreme events.Power system,as an important infrastructure,may occur large area power blackouts under extreme events,which are low-probability but highly-risk events.Therefore,in order to mitigate the impact of high-impact,low-probability events on power supply,some people propose to accelerate research and development on resilient power systems.At present,the research on the resilience of power systems is still at the starting stage.To improve the resilience evaluation method,this paper develops a new framework considering the spatial and temporal impacts under extreme meteorological disasters and an improved resilience index(RICD),to assess the resilience of power transmission systems.Using typhoon and ice storm as examples,the intensity of typhoon and ice storm impacts are quantified by a wind field model and a model for freezing rain ice loads for disaster risk assessment,respectively.And the duration of meteorological disaster impacts is determined by the geographical location of power system and the path of meteorological disaster.In addition,the restoration model of systems is developed considering locations of damaged components,the weather intensity,the emergency,and the number of repair teams.A power systems response model is developed,which consider a power grid suffers from grid splitting and forms several sub-grids when multiple component outages occur.Then,resilience assessment for power systems is proposed considering load losses of systems,based on the sequential Monte Carlo simulation method and a cell partition method.Finally,the IEEE 6 buses system and IEEE RTS-79 system are employed as an example to demonstrate the validity and effectiveness of the proposed index and method.The influence of three typical measures on the resilience enhancement is studied.The results show that the developed method can provide a quantitative reference for decision-making on network planning and operation.
Keywords/Search Tags:resilience assessment, resilience modeling, extreme meteorological disasters, power systems, spatial-temporal characteristics
PDF Full Text Request
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