2021
DOI: 10.1049/rpg2.12199
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Hybrid energy management strategy based on dynamic setting and coordinated control for urban rail train with PMSM

Abstract: Due to the short distance between stations, frequent acceleration and braking for urban rail trains cause voltage fluctuation in the traction network and the regenerative braking energy loss. In this study, a hybrid energy storage system (HESS) was proposed to recover braking energy and stabilize the traction network voltage, where the on-board ultracapacitors were used to accommodate the rapid exchange of acceleration and braking energy of the permanent magnet traction system while the lithium batteries insta… Show more

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Cited by 11 publications
(9 citation statements)
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“…In case II, the average value of 50 sets of the MC approximated power is used as the ship microgrid system input power, which makes it easy to analyse the operation states of various energy systems, and rule‐based PI control [30] and two‐layer power allocation control [28] are further used for comparative analysis. Comparisons of the DC microgrid voltage sags and fluctuation ranges are shown in Figure 13 and Table 4, respectively.…”
Section: Simulation and Resultsmentioning
confidence: 99%
“…In case II, the average value of 50 sets of the MC approximated power is used as the ship microgrid system input power, which makes it easy to analyse the operation states of various energy systems, and rule‐based PI control [30] and two‐layer power allocation control [28] are further used for comparative analysis. Comparisons of the DC microgrid voltage sags and fluctuation ranges are shown in Figure 13 and Table 4, respectively.…”
Section: Simulation and Resultsmentioning
confidence: 99%
“…Where, I dc−ref is the current demand of DC bus; U dc−ref is the rated voltage of DC bus, that is, 1500 V; U dc is the DC bus voltage; K p and K i are the proportion and integral terms of the voltage controller [30], respectively; I load is the load current of DC bus; P ref is the power mitigation demand.…”
Section: Second Stage: Three-layer Power Allocationmentioning
confidence: 99%
“…In those time intervals, the power mismatch between load and generator sides is feedforward to the voltage controller to determine the voltage profiles. Therefore, the power mitigation demand ( P ref ) is shown as follows: { I d c r e f false( t false) = false )( U d c r e f ( t ) U d c ( t ) )( K p + K i s V o l t a g e c o n t r o l l e r I italicload false( t false) = P s false( t false) + P italicservice false( t false) P D G false( t false) P F C false( t false) U d c false( t false) P italicref false( t false) = I d c r e f false( t false) + I italicload false( t false) U d c false( t false) $\left\{\begin{array}{c}\ {I}_{dc-ref}(t)=\underset{Voltage\ controller}{\underbrace{\left({U}_{dc-ref}(t)-{U}_{dc}(t)\right)\left({K}_{p}+\frac{{K}_{i}}{s}\right)}}\\ \ {I}_{\mathit{load}}(t)=\frac{{P}_{s}(t)+{P}_{\mathit{service}}(t)-{P}_{DG}(t)-{P}_{FC}(t)}{{U}_{dc}(t)}\\ \ {P}_{\mathit{ref}}(t)=\left({I}_{dc-ref}(t)+{I}_{\mathit{load}}(t)\right){U}_{dc}(t)\end{array}\right.$ Where, I dc − ref is the current demand of DC bus; U dc − ref is the rated voltage of DC bus, that is, 1500 V; U dc is the DC bus voltage; K p and K i are the proportion and integral terms of the voltage controller [30], respectively; I load is the load current of DC bus; P ref is the power mitigation demand.…”
Section: Second Stage: Three‐layer Power Allocationmentioning
confidence: 99%
“…Considering the importance of efficient operation of STS, researchers in [18] developed several tasks to boost power and driving efficiency as well as to beneficially harvest the regenerative braking energy (RBE). To provide better understanding, RBE appears to be the most efficient way of improving the performance of STS as it can be simply obtained via traction motors installed on ETs [1,19]. In fact, this type of motors has the ability to reproduce the energy while ETs are decelerating [13].…”
Section: Introductionmentioning
confidence: 99%
“…RBE can be consumed by EVs in a real-time manner provided that the availability of ETs, that is, arrival and departure times is specified or optimally scheduled [20]. More efficiently, it is crucial to coordinate energy storages systems or EVs parking lots and RBE which is the scope of the author's works in [19]. This helps the sys-tem to ignore the complexity of scheduling but escalating the costs [21].…”
Section: Introductionmentioning
confidence: 99%