Abstract: In order to make the energy storage system achieve the expected peak-shaving and valley-filling effect, an energy-storage peak-shaving scheduling strategy considering the improvement goal of peak-valley difference is proposed.
Tan et al. proposed an energy storage peak-peak scheduling strategy to improve the peak–valley difference . A simulation based on a real power network verified that the proposed strategy could effectively reduce the load difference between the valley and peak.
The model aims to minimize the load peak-to-valley difference after peak-shaving and valley-filling. We consider six existing mainstream energy storage technologies: pumped hydro storage (PHS), compressed air energy storage (CAES), super-capacitors (SC), lithium-ion batteries, lead-acid batteries, and vanadium redox flow batteries (VRB).
Therefore, minimizing the load peak-to-valley difference after energy storage, peak-shaving, and valley-filling can utilize the role of energy storage in load smoothing and obtain an optimal configuration under a high-quality power supply that is in line with real-world scenarios.
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Learn MoreIn order to make the energy storage system achieve the expected peak-shaving and valley-filling effect, an energy-storage peak-shaving scheduling strategy considering the …
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