Creating interior layout designs has numerous applications, including virtual reality, architectural visualization and real estate planning. Generating realistic and functional indoor scenes requires a nuanced understanding of spatial configurations and human-centered design principles. We propose InteriorAgent, an LLM-agent-driven framework for text-to-3D indoor scene generation that produces scenes with visual quality and functional utility that significantly surpass prior works. We achieve this through several key advantages of InteriorAgent: (1) encoding of interior design principles with a novel scene description language, (2) aesthetics and functionality through synthesis tools that satisfy design principles, (3) realism and prompt adherence with optimization tools that ensure ergonomics and iterative constraint satisfaction, (4) extensibility with a framework that allows incorporating even mature, complex tools like diffusion models, LLMs and 3D generation repositories. We evaluate InteriorAgent through a user study, where participants strongly favor its generated scenes over prior state-of-the-art methods. Additionally, we demonstrate novel applications uniquely enabled by InteriorAgent, including language-based scene editing and seamless tool integration for new tasks. Code and data will be publicly released.

Nonlinear loads in islanded microgrids often drive the total harmonic distortion (THD) of grid-forming inverter output voltage above 5%, exceeding IEEE Std 519-2014 limits. To address this challenge, we propose a control strategy for three-phase four-wire inverters to ensure robust power quality. We model the inverter’s output impedance to analyze harmonic behavior and develop a phase-compensated resonant controller (PCRC) to suppress harmonics at the nominal frequency. However, PCRC’s narrow bandwidth struggles with frequency deviations caused by droop control. To overcome this, we introduce a hybrid feedforward strategy, integrating wideband capacitor voltage feedforward with load current feedforward, modeled as a virtual impedance network. Compared with existing methods, our approach better sustains harmonic suppression during frequency shifts. Experimental results verify the effectiveness of the control strategy, demonstrating that the hybrid feedforward strategy significantly reduces the THD of the output voltage.

The single-phase differential boost inverter (SPDBI) possesses unique single-stage boost capability, which conventional voltage source inverters lack. While the discontinuous modulation strategy offers superior efficiency advantages, the inherent nonlinear distortion issues in SPDBI remain unresolved. This paper proposes a dual-loop control strategy based on pulse train control, which achieves excellent voltage tracking and dynamic performance through well-designed duty cycles for two pulse train sets. Simulation and experimental results validate the effectiveness of the proposed control strategy.

In wireless power transfer (WPT) systems, effective communication between the transmitter and receiver is crucial for precise control and system monitoring. To address this need, simultaneous power and information transfer (SWPIT) has been extensively studied. However, SWPIT implementations often require additional coils or circuits, which complicates the overall system. This work presents the design and numerical experiments of a minimal SWPIT system. The auxiliary modulation circuits are simplified using phase shift control in the inverter, while multi-carrier modulation can be embedded to enhance frequency band utilization. Similarly, auxiliary demodulation circuits are simplified by leveraging the frequency-mixing effect in the rectifier. The proposed minimal SWPIT method is adaptable across diverse compensation networks. The key transfer characteristics of the compensation network are cloned in the information transmission, enabling load-independent communication. Simulation results confirm the theoretical analysis, demonstrating the transfer characteristics and elasticity of the minimal SWPIT system.

The differential boost inverter has a bright future because of its single-stage boosting capability, which offsets the disadvantages of multi-stage boost inverters' poor efficiency and large size. In this paper, the inner-loop feedback linearization controller converts the nonlinear characteristics of the three-phase differential Boost inverter (TPDBI) to linearity for grid-connected conditions; the outer loop calculates active and reactive power by decoupling the output voltage and current; and the droop control strategy calculates the reference voltage of the feedback linearization voltage loop. Finally, the Matlab/Simulink simulation platform is used to validate the effectiveness of the suggested control approach.

Compared with traditional inverters, the T -type three-phase three-port inverter can realize bi-directional power flow in three sources with a smaller size and lower cost. In this paper, a novel T -type three-phase four-leg (3P4L) three-port inverter with two DC ports and an AC port is proposed and its output vectors are analyzed. Correspondingly, the maximum power distribution range named maximum distribution ratio control (MDRC) between two DC ports is extended from the three-phase three-wire (3P3W) system to the three-phase four-wire (3P4W) system. A mathematically proven algorithm for simplifying the calculation of duty cycles and implementing MDRC is proposed. Finally, this paper selects a three-phase unbalanced linear load to verify the proposed power control strategy in MATLAB/Simulink.

This paper introduces an isolated high voltage gain DC-DC converter, which can achieve high output voltage and large power level with hybrid connection of modular active-clamping current-fed push-pull(CFPP) converters. Thanks to the modularity, the voltage stress of semiconductor devices and the power rating of magnetic components are low. In addition, zero-voltage-switching operation is achieved for all switches and thus low EMI noise can be obtained. Furthermore, the secondary current of different CFPP converters in the same column is auto-balanced, contributing to reduced control complexity. With redundant rows and columns, the converter can remain normal operation under fault state. In the paper, the operation and analysis of the converter are illustrated in detail and the simulation results are demonstrated to verify its advantages.

Selection of suitable energy solutions for a rural location seems complicated while addressing multiple and simultaneous technical, social, economic and environmental traits. Even with achievements of theoretical progress towards binding their synergies, only a handful of approaches exists for well-designed multiple objective frameworks considering rural electrification. For a successful implementation of rural electrification project for any demography of world, the social criteria play a very crucial role. Decision analysis involving technical, financial, social and environmental aspects becomes more diverged and challenging. However, Multi-Criteria Decision Analysis Tool (MCDA) has arisen as a solution to diverse criterion and differing views. A MCDA method facilitates decision processes that are logically difficult, participative and translucent, for energy planning. In this paper, a methodology framework incorporating decision analysis techniques has been presented to evaluate and determine a suitable energy system for rural electrification with a perspective to sustainable development. Technically mature, commercially available and government regulated energy sources were considered to generate the possible alternatives. A total of twelve alternatives were proposed; the first six in a Compact Centralized Off Grid Generation and another six as Compact Centralized Grid connected systems. Solar, wind, diesel generator was considered as energy sources along with battery as storage.

An optimized modulation is proposed for the bidirectional DC-DC converter based on the full-bridge/push-pull circuit. With the proposed strategy, the zero-voltage-switching (ZVS) range of the lagging-leg switches in the conventional full-bridge topology can be extended. Moreover, severe voltage overshoots across main switches caused by the leakage inductance of the transformer in the current push-pull circuit are suppressed. Furthermore, the modulation is unified for both the buck mode and the boost mode, which is easy to realize compared with the conventional methods. In addition, no auxiliary circuits are employed, resulting in low cost and small volume. Detailed analysis and design of the proposed modulation are described. The simulation results validate the operation principle and a \kW prototype is built to show the effectiveness of the proposed strategy.

The modeling of switching loss in semiconductor power devices is important in practice for the prediction and evaluation of thermal safety and system reliability. Both simulation-based behavioral models and data processing-based empirical models are difficult and have limited applications. Although the artificial neural network (ANN) algorithm has often been used for modeling, it has never been used for modeling insulated gate bipolar transistor (IGBT) transient loss. In this paper, we attempt to use the ANN method for this purpose, using a customized switching loss test bench. We compare its performance with two conventional curve-fitting models and verify the results by experiment. Our model is generally superior in calculation speed, accuracy, and data requirement, and is also able to be extended to loss modeling for all kinds of semiconductor power devices.