Go to:
Logótipo
Comuta visibilidade da coluna esquerda
Você está em: Start > Publications > View > Allocation of Fast-Acting Energy Storage Systems in Transmission Grids With High Renewable Generation
Publication

Publications

Allocation of Fast-Acting Energy Storage Systems in Transmission Grids With High Renewable Generation

Title
Allocation of Fast-Acting Energy Storage Systems in Transmission Grids With High Renewable Generation
Type
Article in International Scientific Journal
Year
2020
Authors
Nikoobakht, A
(Author)
Other
The person does not belong to the institution. The person does not belong to the institution. The person does not belong to the institution. Without AUTHENTICUS Without ORCID
Aghaei, J
(Author)
Other
The person does not belong to the institution. The person does not belong to the institution. The person does not belong to the institution. Without AUTHENTICUS Without ORCID
Shafie khah, M
(Author)
Other
The person does not belong to the institution. The person does not belong to the institution. The person does not belong to the institution. Without AUTHENTICUS Without ORCID
Journal
Vol. 11
Pages: 1728-1738
ISSN: 1949-3029
Publisher: IEEE
Other information
Authenticus ID: P-00S-B53
Abstract (EN): The major challenge in coordinating between fast-acting energy storage systems (FA-ESSs) and renewable energy sources (RESs) in the existing transmission grid is to determine the location and capacity of the FA-ESS in the power systems. The optimal allocation of FA-ESS with conventional hourly discrete time method (DTM) can result in the increased operation cost, non-optimal placements and larger storage capacity and therefore, having an opposite effect on the operation. Accordingly, in this paper, a continuous-time method (CTM) is proposed to coordinate FA-ESS and RESs to cover fast fluctuations of renewable generations (RGs). Besides, based on the CTM, an adaptive interval-based robust optimization framework, to deal with uncertainty of the RGs, has been proposed. The proposed optimal allocation of FA-ESS with CTM provides the best sitting and sizing for the installation of the FA-ESSs and the best possible continuous-time scheduling plan for FA-ESSs. Also, in other to have better implementations of their ramping capability to track the continuous-time changes and deviations of the RGs rather than hourly DTM. The proposed model has been implemented and evaluated on the IEEE Reliability Test System (IEEE-RTS).
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 11
Documents
We could not find any documents associated to the publication.
Related Publications

Of the same authors

Self-Scheduling Approach to Coordinating Wind Power Producers With Energy Storage and Demand Response (2020)
Article in International Scientific Journal
Jamali, A; Aghaei, J; Esmaili, M; Nikoobakht, A; Niknam, T; Shafie khah, M; Catalao, JPS
Minimizing Wind Power Curtailment Using a Continuous-Time Risk-Based Model of Generating Units and Bulk Energy Storage (2020)
Article in International Scientific Journal
Nikoobakht, A; Aghaei, J; Shafie Khah, M; Catalao, JPS
Continuous-Time Co-Operation of Integrated Electricity and Natural Gas Systems With Responsive Demands Under Wind Power Generation Uncertainty (2020)
Article in International Scientific Journal
Nikoobakht, A; Aghaei, J; Shafie Khah, M; Catalao, JPS

Of the same journal

Guest Editorial Special Section on Reserve and Flexibility for Handling Variability and Uncertainty of Renewable Generation (2016)
Another Publication in an International Scientific Journal
Catalao, JPS; Contreras, J; Bakirtzis, A; Wang, JH; Zareipour, H; Wu, L
Time Adaptive Conditional Kernel Density Estimation for Wind Power Forecasting (2012)
Article in International Scientific Journal
Ricardo Bessa; Vladimiro Miranda; Audun Botterud; Jianhui Wang; Emil Constantinescu
Smart Wire Placement to Facilitate Large-Scale Wind Energy Integration: An Adaptive Robust Approach (2019)
Article in International Scientific Journal
Ahmad Nikoobakht; Jamshid Aghaei; Taher Niknam; Miadreza Shafie-khah ; João P. S. Catalão
Self-Scheduling Approach to Coordinating Wind Power Producers With Energy Storage and Demand Response (2020)
Article in International Scientific Journal
Jamali, A; Aghaei, J; Esmaili, M; Nikoobakht, A; Niknam, T; Shafie khah, M; Catalao, JPS
Risk-Oriented Multi-Area Economic Dispatch Solution With High Penetration of Wind Power Generation and Compressed Air Energy Storage System (2020)
Article in International Scientific Journal
Azizivahed, A; Razavi, SE; Arefi, A; Ghadi, MJ; Li, L; Zhang, JF; Shafie khan, M; Catalao, JPS

See all (46)

Recommend this page Top
Copyright 1996-2025 © Faculdade de Direito da Universidade do Porto  I Terms and Conditions  I Acessibility  I Index A-Z
Page created on: 2025-07-28 at 15:36:37 | Privacy Policy | Personal Data Protection Policy | Whistleblowing