Framework for smart grid to implement a price elasticity-based peak time rebate demand response program

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.

Section: Methodsmentioning

confidence: 99%

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

Waheed,

Rehman,

Alsaif

et al. 2024

“…Self-adaptive population Rao (SAP-Rao) 41 is based entirely on the Rao algorithm. Based on the level of quality of the responses, this method splits the whole population into several groups, resulting in several subpopulations 42 . Instead of concentrating on a single area, the utilization of the number of sub-populations disperses the solutions across the search field.…”

Section: Design Of Dichotomy Methodsmentioning

confidence: 99%

Adaptive RAO ensembled dichotomy technique for the accurate parameters extraction of solar PV system

Ashwini Kumari,

Basha,

Fathima

et al. 2024

The parameter extraction process for PV models poses a complex nonlinear and multi-model optimization challenge. Accurately estimating these parameters is crucial for optimizing the efficiency of PV systems. To address this, the paper introduces the Adaptive Rao Dichotomy Method (ARDM) which leverages the adaptive characteristics of the Rao algorithm and the Dichotomy Technique. ARDM is compared with the several recent optimization techniques, including the tuna swarm optimizer, African vulture’s optimizer, and teaching–learning-based optimizer. Statistical analyses and experimental results demonstrate the ARDM's superior performance in the parameter extraction for the various PV models, such as RTC France and PWP 201 polycrystalline, utilizing manufacturer-provided datasheets. Comparisons with competing techniques further underscore ARDM dominance. Simulation results highlight ARDM quick processing time, steady convergence, and consistently high accuracy in delivering optimal solutions.

“…Integrating to a DC micro grid can be implemented in a usage able way, where the generated can be in a bulk amount and supplied in a bulk amount as well. DC microgrids present numerous advantages upon close examination and comparison with AC microgrids 12 . Firstly, they offer higher efficiency and lower losses by eliminating the need for multiple converters in a system.…”

Section: Introductionmentioning

confidence: 99%

Development of multiple input supply based modified SEPIC DC–DC converter for efficient management of DC microgrid

Reddy,

Alsaif,

Reddy

et al. 2024

The development of DC microgrids is reliant on multi-input converters, which offer several advantages, including enhanced DC power generation and consumption efficiency, simplified quality, and stability. This paper describes the development of a multiple input supply based modified SEPIC DC–DC Converter for efficient management of DC microgrid that is powered by two DC sources. Here Multi-Input SEPIC converter offers both versatility in handling output voltage ranges and efficiency in power flow, even under challenging operating conditions like lower duty cycle values. These features contribute to the converter's effectiveness in managing power within a DC microgrid. In this configuration, the DC sources can supply energy to the load together or separately, depending on how the power switches operate. The detailed working states with equivalent circuit diagrams and theoretical waveforms, under steady-state conditions, are shown along with the current direction equations. This paper also demonstrates the typical analysis of large-signal, small-signal, steady-state modeling techniques and detailed design equations. The proposed configuration is validated through the conceptual examination using theoretical and comprehensive MATLAB simulation results. Detailed performance analysis has been done for different cases with various duty ratios. Finally, to show the competitiveness, the multi-input SEPIC topology is compared with similar recent converters.