The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Optimal Storage Planning in Active Distribution Network Considering Uncertainty of Wind Power Distributed Generation
Abstract
The penetration of renewable distributed generation (DG) sources has been increased in active distribution networks due to their unique advantages. However, non-dispatchable DGs such as wind turbines raise the risk of distribution networks. Such a problem could be eliminated using the proper application of energy storage units. In this paper, optimal planning of batteries in the distribution grid is presented. The optimal planning determines the location, capacity and power rating of batteries while minimizing the cost objective function subject to technical constraints. The optimal long-term planning is based on the short-term optimal power flow considering the uncertainties. The point estimate method (PEM) is employed for probabilistic optimal power flow. The batteries are scheduled optimally for several purposes to maximize the benefits. A hybrid Tabu search/particle swarm optimization (TS/PSO) algorithm is used to solve the problem. The numerical studies on a 21-node distribution system show the advantages of the proposed methodology. The proposed approach can also be applied to the realistic sized networks when some sensitive nodes are considered as candidate locations for installing the storage units.
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Cites
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Optimal Allocation of ESS in Distribution Systems With a High Penetration of Wind Energy
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Optimal Power Flow Using Tabu Search Algorithm
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Optimization of Pumped Storage Capacity in an Isolated Power System With Large Renewable Penetration
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Analysis of the Cost per Kilowatt Hour to Store Electricity
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A Stochastic Optimization Approach to Rating of Energy Storage Systems in Wind-Diesel Isolated Grids
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Cited by
Hesse, H., Schimpe, M., Kucevic, D., & Jossen, A. (2017) · Energies · doi:10.3390/en10122107 · Cited by 770
Wali, S. B., Hannan, M. A., Reza, M. S., Ker, P. J., Begum, R. A., Rahman, M. S. A., & Mansor, M. (2021) · Journal of Energy Storage · doi:10.1016/j.est.2021.102296 · Cited by 149
Probabilistic hosting capacity for active distribution networks
Al-Saadi, H., Zivanovic, R., & Al-Sarawi, S. F. (2017) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2017.2698505 · Cited by 124
Stochastic Energy Management of Microgrid with Nodal Pricing
Prudhviraj, D., B. S. Kiran, P., & M. Pindoriya, N. (2020) · Journal of Modern Power Systems and Clean Energy · doi:10.35833/mpce.2018.000519 · Cited by 41
Metadata
- Authors
- Sedghi, M., Ahmadian, A., & Aliakbar-Golkar, M.
- Venue
- IEEE Transactions on Power Systems
- Published
- 2016-01
- Volume
- 31
- Issue
- 1
- Pages
- 304-316
- ISSN
- 0885-8950 (ISSN-L)
- 1558-0679
- OpenAlex
- W2024605755
- Cited by
- 422
- References
- 16
- FWCI
- 20.85
- Type
- journal article
- Language
- en
- Open access
- closed
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- Sedghi, M., Ahmadian, A., & Aliakbar-Golkar, M. (2016). Optimal Storage Planning in Active Distribution Network Considering Uncertainty of Wind Power Distributed Generation. IEEE Transactions on Power Systems. https://doi.org/10.1109/tpwrs.2015.2404533
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