2020
DOI: 10.1016/j.ijepes.2020.106007
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Optimal control strategy for large-scale VRB energy storage auxiliary power system in peak shaving

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Cited by 25 publications
(10 citation statements)
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“…The constraints of the upper model energy storage power station are shown in the following equation (8)(9)(10)(11). P refer to the literature [12], and other thermal power generation unit parameters are shown in Table 1 and Table 2. The rated power of the energy storage power station is 100MW, the maximum charging and discharging power is 100MW, and the charging and discharging efficiency is 85%.…”
Section: )Constraintsmentioning
confidence: 99%
“…The constraints of the upper model energy storage power station are shown in the following equation (8)(9)(10)(11). P refer to the literature [12], and other thermal power generation unit parameters are shown in Table 1 and Table 2. The rated power of the energy storage power station is 100MW, the maximum charging and discharging power is 100MW, and the charging and discharging efficiency is 85%.…”
Section: )Constraintsmentioning
confidence: 99%
“…In Equation (17), "P charge " signifies the VRFB system's overall charging power consumption. "P Discharge " represents the power delivered by the VRFB system during discharging (W).…”
Section: Pso-based Vrfb System Power Loss Optimizationmentioning
confidence: 99%
“…VRFB has shown promising BESS performance in achieving efficient and reliable operations of renewable energy based microgrids, ranging from peak shaving to demand response management. 8,[14][15][16][17][18][19] Kerdphol et al 20 proposed Particle Swarm Optimization (PSO) method-based frequency control of the standalone microgrid to obtain optimum sizing of VRFB based BESS at a minimum total BESS cost. Further investigation by Kerdphol et al 21 proposed an optimum sizing of VRFB-based BESS using PSO incorporating dynamic demand response to mitigate the instability of microgrid during an emergency.…”
Section: Introductionmentioning
confidence: 99%
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