An integrated decision-making approach for managing transformer tap changer operation while optimizing renewable energy storage allocation using ANP-entropy and TOPSIS
Article
Article Title | An integrated decision-making approach for managing transformer tap changer operation while optimizing renewable energy storage allocation using ANP-entropy and TOPSIS |
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ERA Journal ID | 4409 |
Article Category | Article |
Authors | Haidar, Ahmed M. A., Sharip, Mohd R. M. and Ahfock, Tony |
Journal Title | Electrical Engineering: Archiv fuer elektrotechnik |
Journal Citation | 106 (3), pp. 2407-2423 |
Number of Pages | 17 |
Year | 2023 |
Publisher | Springer |
Place of Publication | Germany |
ISSN | 0003-9039 |
0948-7921 | |
1432-0487 | |
Digital Object Identifier (DOI) | https://doi.org/10.1007/s00202-023-02057-1 |
Web Address (URL) | https://link.springer.com/article/10.1007/s00202-023-02057-1 |
Abstract | The power industry is currently undergoing a rapid transformation toward the maximum utilization of renewable energy resources. In grid-connected renewable energy systems, enhancing the voltage stability during the fluctuations in renewable energy outputs can be achieved using a transformer with built-in on-load tap changing. It is one of the main traditional voltage regulation techniques utilized to improve the voltage profile in the power grid. Due to the unpredictable nature of renewable energy penetration, the frequent operation of an on-load tap changer (OLTC) may increase significantly. Despite the proposed methods used to optimize the location and size of renewable generation, there is a lack of empirical or detailed studies that have been looking at the issue of tap changers, mainly the impact of renewable energy storage allocation. The main aim of this paper is to find a compromise approach to mitigate unnecessary tap-changing operation time by wisely siting and sizing the renewable energy storage system (RESS). Initially, a generalized method is proposed to formulate an analytical optimization framework coupled with a renewable storage index. This approach is employed to evaluate the behavior of OLTC in a grid-connected renewable energy system. The formulation is then used to model a decision-making approach to confirm the location and size of RESS, using the analytic network process (ANP) with entropy and technique for order of preference by similarity to an ideal solution (TOPSIS). The performance of the proposed approach is evaluated and compared using the IEEE benchmark networks. Aspects in relation to the predictions of future operations about the management of renewable energy storage in coordination with voltage regulators in the smart grid context, which will be the subject matter of additional studies are also discussed. |
Keywords | Multi-criteria decision-making; Analytical optimization; Voltage management; Renewable energy storage; Transformer tap changer |
Contains Sensitive Content | Does not contain sensitive content |
ANZSRC Field of Research 2020 | 400803. Electrical energy generation (incl. renewables, excl. photovoltaics) |
400805. Electrical energy transmission, networks and systems | |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | School of Engineering |
University of Malaysia, Sarawak, Malaysia |
https://research.usq.edu.au/item/z24vq/an-integrated-decision-making-approach-for-managing-transformer-tap-changer-operation-while-optimizing-renewable-energy-storage-allocation-using-anp-entropy-and-topsis
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