Paper Info
Title
A Statistical Approach For Resilience Analysis Of Ess Deployment In Res-Based Power Systems
Abstract
The expected increasing exploitation of Renewable Energy Sources (RES) is pointing out the need of models able to evaluate key indexes for resilience characterisation of power systems for different RES-based energy scenarios. In particular, the resilience of a power system to fluctuations introduced by distributed and intermittent RESs is considered, at the present time, one of the most important topic in power and Energy Storage Systems (ESSs). In this context a stochastic methodology oriented to resilience analysis of RES-based power system is proposed. It is based on the ensemble approach, evaluated on the base of a numerical sampling that allows the identification of three resilience indexes connected to the probability of congestions events in power systems. The proposed methodology has been evaluated on the Italian transmission grid in order to quantify the evolution of the proposed resilience indexes when an increase of the power and the capacity of ESSs occurs. In particular, the comparison among centralised, distributed and mixed configuration of ESSs into power system has been developed. The simulation results, summarised by means of the proposed indexes, allows the statistical quantification of resilience improvement obtained in the different cases of study.
Year
Venue
Field
2017
2017 IEEE 26TH INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE)
Psychological resilience,Energy storage,Renewable energy,Software deployment,Stochastic process,Electric power system,Sampling (statistics),Engineering,Grid,Reliability engineering
DocType
ISSN
Citations 
Conference
2163-5137
0
PageRank 
References 
Authors
0.34
1
2
Name
Order
Citations
PageRank
Mario Mureddu111.64
Alfonso Damiano2347.94