Abstract
This paper proposes a new optimal approach to determine the location and size of the Energy Storage System (ESS) in transmission expansion planning (TEP). The proposed method combines two steps in sequence: the improved MinCut algorithm (IMCA) and the Genetic Algorithm (GA) algorithm to reduce the search space and time for finding the optimal solution satisfying many constraints. This algorithm reduces the computational volume significantly compared to previous algorithms and thereby shortens the calculation time leading to investors making timely and competitive ESS system investment decisions. The research results are applied in determining the position of the ESS in the IEEE 24-bus system, which shows the possibility of a solution to the TEP problem.
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This research is funded by Thai Nguyen University of Technology (TNUT).
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Nguyen, T.L., Dinh, N.S., Truong, V.A., Duong, T.L., Du, D.H., Tuan, D.A. (2023). Enhancing Total Transfer Capability via Optimal Location of Energy Storage Systems Using a Hybrid Improved Min-Cut Algorithm and Genetic Algorithm. In: Nguyen, D.C., Vu, N.P., Long, B.T., Puta, H., Sattler, KU. (eds) Advances in Engineering Research and Application. ICERA 2022. Lecture Notes in Networks and Systems, vol 602. Springer, Cham. https://doi.org/10.1007/978-3-031-22200-9_57
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