@Article{ee.2026.086975,
AUTHOR = {Yulong Che, Xia Jin, Yunchuan Deng, Xiaoru Wang, Enjie He, Xiaoqin Lv},
TITLE = {Weighted Multi-Criteria Capacity Optimization of Hybrid Energy Storage for Smoothing Traction Load Fluctuations in High-Speed Railways Based on Adaptive Frequency-Domain Decomposition},
JOURNAL = {Energy Engineering},
VOLUME = {},
YEAR = {},
NUMBER = {},
PAGES = {{pages}},
URL = {http://www.techscience.com/energy/online/detail/28055},
ISSN = {1546-0118},
ABSTRACT = {As high-speed railway (HSR) networks expand and train density increases, traction substations (TSSs) face short-duration, high-intensity power pulses and concentrated regenerative-braking power, which increase grid-capacity pressure and limit regenerative-braking energy (RBE) utilization. Because lithium-ion batteries (LIBs) are poorly suited to sustained high-frequency, high-rate impacts, this study proposes a weighted multi-criteria capacity-optimization framework for a fully active LIB-supercapacitor (SC) hybrid energy storage system (HESS) based on adaptive frequency-domain decomposition. First, the HESS is integrated into the TSS through the common DC link of a railway power conditioner (RPC). Positive traction power exceeding a prescribed peak-shaving threshold and all negative bus-side regenerative-braking power are extracted to form the HESS regulation sequence. Second, a first-order low-pass filter assigns the low-frequency component to the LIB and the complementary high-frequency component to the SC. Both branches’ rated energy and power and the filter cutoff frequency are jointly optimized. The time-series dispatch enforces rated-power, energy, state-of-charge (SOC), terminal-SOC, and 3C design-screening constraints, together with idle-state filter reset and residual-command reallocation. Finally, a normalized weighted optimization model combining initial capital cost, maximum grid-side demand, and unabsorbed bus-side RBE is formulated and solved using an improved sparrow search algorithm (ISSA). The three objectives are non-exhaustive. Based on one anonymized 7 h aggregate TSS power record sampled every 10 s, the selected terminal-feasible design comprises a 717.460 kWh/0.500 MW LIB, a 62.645 kWh/2.474 MW SC, and a boundary cutoff frequency of 0.000200 Hz. It reduces the grid-side peak power from 13.580 to 10.606 MW, corresponding to a peak-shaving rate of 21.90%, and absorbs 128.000 kWh, or 76.77%, of the bus-side RBE while satisfying terminal-SOC tolerances. Weight, normalization, threshold, terminal-SOC, and battery-stress analyses reveal material trade-offs, indicating that the reported sizing result is specific to the adopted design preferences and measured load record rather than a universal HSR configuration.},
DOI = {10.32604/ee.2026.086975}
}