Abstract
Operational flexibility of power system at critical conditions becomes a worthy goal to all network operators (NOs). Such goal is challenging because of the high penetration of Renewable energy resources (RES) as well as the rapid demand growth that add more stresses to the network lines reducing the network reliability levels. To that extent, this paper proposes a reliability evaluation framework incorporating energy storage systems (ESS). The method shows the effectiveness of utilizing the available energy storage (ESS) in the network during contingencies as a secondary application for the ESS beside its main application at normal conditions. In addition, the benefits from considering time varying thermal ratings (TVTR) with the ESS is investigated showing the impact of TVTR on both ESS sizing and ESS effectiveness at contingencies as well as the network reliability. The impact of the proposed model is evaluated through metrics based on nodal reliability indices and the Sequential Monte Carlo simulation (SMC) approach on the 24-Bus IEEE Reliability Test System. The results from the proposed method significantly reduced the expected interruption costs (EIC) by 32%.
Original language | English |
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Title of host publication | 2018 IEEE Power and Energy Society General Meeting, PESGM 2018 Proceedings |
Publisher | IEEE Computer Society |
Volume | 2018-August |
ISBN (Electronic) | 9781538677032 |
DOIs | |
Publication status | Published - Feb 2019 |
Event | 2018 IEEE Power and Energy Society General Meeting, PESGM 2018 - Portland, United States Duration: 5 Aug 2018 → 10 Aug 2018 |
Conference
Conference | 2018 IEEE Power and Energy Society General Meeting, PESGM 2018 |
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Country/Territory | United States |
City | Portland |
Period | 5/08/18 → 10/08/18 |
Keywords
- Energy storage system
- Overhead lines
- Reliability assessment
- Sequential Monte Carlo
- Time varying thermal ratings.