The Impact Analysis of Operational Overvoltage on Traction Transformers for High-Speed Trains Based on the Improved Capacitor Network Methodology

Xiao, Song; Wang, Zijing; Wu, Guangning; Guo, Yujun; Gao, Guoqiang; Zhang, Xueqin; Cao, Ye; Zhang, Yuhui; Yu, Jie; Liu, Puyang; Li, Pupu

doi:10.1109/tte.2023.3283668

Cited by 32 publications

(14 citation statements)

References 27 publications

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“…i. Initialization: A starting population and velocity of size [NP × D] are generated within the specified search range. At this point, “NP” denotes the population number, and "D" represents the problem dimension 48 .…”

Section: Optimization Techniques and Benchmark Function’smentioning

confidence: 99%

Optimizing grid-connected PV systems with novel super-twisting sliding mode controllers for real-time power management

Mohapatra,

Sahu,

Pati

et al. 2024

Sci Rep

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Over the past years, the use of renewable energy sources (RESs) has grown significantly as a means of providing clean energy to counteract the devastating effects of climate change. Reducing energy costs and pollution have been the primary causes of the rise in solar photovoltaic (PV) system integrations with the grid in recent years. A load that is locally connected to a GCPV requires both active and reactive power control. In order to control both active and reactive power, MAs and advanced controllers are essential. Researchers have used one of the recently developed MAs, known as the CAOA, which is based on mathematical arithmetic operators to tackle a few real-world optimization problems. Some disadvantages of CAOA include its natural tendency to converge to a local optimum and its limited capacity for exploration. By merging the PSO and CAOA methodologies, this article suggests the IAOA. To show how applicable IAOA is, its performance has been evaluated using four benchmark functions. The implementation of an IAOA-based ST-SMC for active and reactive power control is addressed in this article, which offers an innovative approach of research. In comparison to PSO-based ST-SMC and CAOA-based ST-SMC, the proposed IAOA-based ST-SMC appears to be superior, with settling time for active and reactive power control at a minimum of 0.01012 s and 0.5075 s. A real-time OPAL-RT 4510 simulator is used to validate the performance results of a 40 kW GCPV system after it has been investigated in the MATLAB environment.

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Section: Optimization Techniques and Benchmark Function’smentioning

confidence: 99%

Optimizing grid-connected PV systems with novel super-twisting sliding mode controllers for real-time power management

Mohapatra,

Sahu,

Pati

et al. 2024

Sci Rep

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“…Materials like silicon carbide (SiC) and gallium nitride (GaN), which are part of the wide bandgap (WBG) family, provide exceptional material features that allow for increased switching frequencies and reduced power consumption 59 , 60 . The deliberate distribution of converter duties guarantees a well-rounded strategy that combines the power-handling capacities of IGBTs with the switching efficiency of MOSFETs 61 , 62 . This technique effectively tackles the dual obstacles of high power and high switching.…”

Section: Related Workmentioning

confidence: 99%

Hybrid multimodule DC–DC converters accelerated by wide bandgap devices for electric vehicle systems

Waheed,

Rehman,

Alsaif

et al. 2024

Sci Rep

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In response to the growing demand for fast-charging electric vehicles (EVs), this study presents a novel hybrid multimodule DC–DC converter based on the dual-active bridge (DAB) topology. The converter comprises eight modules divided into two groups: four Insulated-Gate Bipolar Transistor (IGBT) modules and four Metal–Semiconductor Field-Effect Transistor (MESFET) modules. The former handles high power with a low switching frequency, while the latter caters to lower power with a high switching frequency. This configuration leverages the strengths of both types of semiconductors, enhancing the converter’s power efficiency and density. To investigate the converter’s performance, a small-signal model is developed, alongside a control strategy to ensure uniform power sharing among the modules. The model is evaluated through simulation using MATLAB, which confirms the uniformity of the charging current provided to EV batteries. The results show an impressive power efficiency of 99.25% and a power density of 10.99 kW/L, achieved through the utilization of fast-switching MESFETs and the DAB topology. This research suggests that the hybrid multimodule DC–DC converter is a promising solution for fast-charging EVs, providing high efficiency, power density, and switching speed. Future studies could explore the incorporation of advanced wide bandgap devices to handle even larger power fractions.

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“…Constraints are as equality and inequality formulation [82][83][84][85][86]. Optimization formulation is as non-linear, linear, mixed integer non-linear or mixed integer linear models [87][88][89][90][91]. In order to implement the optimization model on a network, it is necessary to have intelligent devices [92][93][94][95][96].…”

Section: Formulation Of the Ibvpp Operationmentioning

confidence: 99%

Energy management of distribution network with inverter‐based renewable virtual power plant considering voltage security index

Azarhooshang,

Rezazadeh

2023

IET Renewable Power Gen

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Virtual power plants (VPP) with resources and storages are able to control the active power of the network. They are also connected to the network through an inverter, which is capable of controlling reactive power. Therefore, it is expected that the optimal use of inverter‐based VPP can play an effective role in improving the economic and technical status of the distribution network. So, the operation of a smart distribution system is presented in this paper by considering inverter‐based VPPs constrained to the operator's measures. The weighted sum of expected energy loss (EEL) and voltage security index (VSI) is minimized while considering AC optimal power flow equations, restrictions of network's security, and operating model of the inverter‐based VPPs. Uncertainties with an origin of the amount of demand, renewable energy, and parameters of mobile energy storage are also discussed. The uncertainties are modelled using a stochastic optimization approach relying on the unscented transformation (UT). Evaluating inverter‐based VPP performance, providing models of flexible resources such as responsive loads and mobile storages, checking network voltage security status, and modelling uncertainties using the UT method are among the innovations of this study. According to the results, it is demonstrated that the technical situation of the distribution system is improved with the help of optimal management of the VPP. With energy management of the inverter‐based VPP, the suggested design has succeeded to enhance the operating status (voltage security) of the system by approximately 33–73% (12%) in comparison to power flow studies.

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The Impact Analysis of Operational Overvoltage on Traction Transformers for High-Speed Trains Based on the Improved Capacitor Network Methodology

Cited by 32 publications

References 27 publications

Optimizing grid-connected PV systems with novel super-twisting sliding mode controllers for real-time power management

Optimizing grid-connected PV systems with novel super-twisting sliding mode controllers for real-time power management

Hybrid multimodule DC–DC converters accelerated by wide bandgap devices for electric vehicle systems

Energy management of distribution network with inverter‐based renewable virtual power plant considering voltage security index

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