With the development of artificial intelligence, the control strategies for critical power devices has a diversity such that more reliability solution can be guaranteed in diversity complicated working condition. LC-inverter is known as one of the most applied power conversion equipment nowadays due to the significantly increasing demand for more electrical transportation and multiple renewable energy source generation. To address the challenge of developing a degradation-aware control strategy, this paper intend to incorporates a novel degradation to the finite-set model predictive control for the LC inverter.

Increasing net profits and ensuring the comfort of the residents in community daily energy management is the primary mission of community power operators (CPOs). To reach these goals, the CPO may tailor a bidding strategy to pre-procure a portion of the cheaper power for the reservation to ensure a reliable power supply for scheduling programs. This paper develops a novel bi-level optimization model to resolve this challenge. In the upper level, the CPO aims to maximize net profits through customized power pre-procurement and real-time bi-directional power trading. The lower level focuses on minimizing the electricity costs of the buildings incorporating the building's thermal inertia depending on the real-time temperature variations. The proposed bi-level model presents an interdependent non-linear programming challenge. The instantiations indicate that setting different pre-order power levels for each time slot may improve net profitability for CPO.

This paper proposes distributed, event-triggered, power-sharing strategies to solve the economic power dispatch (EPD) problem for virtual energy storage systems (VESS) composed of smart homes in microgrids. Existing literature on this subject requires continuous or periodic communication. In this paper we propose a dynamic, event-triggered, information delivery strategy, combined with a weighted, distributed optimization algorithm. By inheriting economic parameters, the proposed algorithm guarantees power balance at each iteration, while power capacity constraints are guaranteed by deriving a virtual energy price for each smart home. These techniques enable the proposed resilient, distributed algorithm to solve EPD problem online with reduced communications. Theoretical analyses demonstrate the convergence and optimality of the proposed algorithm, which also excludes Zeno triggering behavior. Numerical analyses and simulations demonstrate the validity and effectiveness of the proposed strategies.

Insulated Gate Bipolar Transistor modules, known as IGBT modules, play a critical and indispensable role in a wide range of power converter applications. However, IGBT modules are not immune to failures, which can have severe consequences such as system faults, downtime, and economic losses for industries relying on their functionality. Accurately estimating the junction temperature of IGBT modules is essential for managing their thermal characteristics, performing condition monitoring and lifetime prediction. Therefore, in this paper, recent IGBT junction temperature estimation methods of are summarized. First, the package, circuit principle and failure mode of IGBT module are introduced, followed by a discussion of various junction temperature estimation methods, including methods based on optical technologies, thermal network and Finite Element Analysis models, and temperature-sensitive electrical parameters (TSEPs). Finally, future research challenges and opportunities for implementing these technologies are presented.

As one of the vital load types in the military shipboard power system (SPS), the pulsed load normally features with the transient high power. Thus, in the case that the SPS has a small inertia constant, the operation of pulsed loads may heavily affects the voltage stability. Benefiting from various advantages of the DC microgrid in terms of the flexibility of power source connection, generator efficiency, and fuel consumption, the DC SPS is recognized as the next-generation solution. In order to assess the impact of pulsed loads in the future DC SPS, a comprehensive time-domain simulation study in Matlab/Simulink software has been conducted in this paper, where pulsed loads with two types of profiles, namely, single-pulse signal and multiple-pulses signal, have been included in the evaluation. Especially, the effect of pulse signal parameters, including the peak power, the pulse duration, the pulse interval time, and the pulse number has been simultaneously tested and analyzed. The DC bus voltage drop during the pulsed load operation has been taken as the index in the simulation. Key findings in the study have been summarized in detail, which leads to the final conclusions.

An average power sharing control strategy for parallel operation of voltage source inverter (VSI) based modular Uninterruptible Power Systems (UPSs) is proposed in this paper. The presented method is based on a modified droop control. The proposed method conquers the drawback of conventional droop plus virtual impedance control, and at the same time some challenges in the real applications have been considered. Such as the mismatch of output impedance of the parallel modules, the different calibration accuracy of the sample circuit, and the offset of the voltage reference from the control unit. Simulation has been presented in order to verify the effectiveness of the proposed control methodology under these three different conditions. The simulation results demonstrate that a better power sharing performance is obtained and successfully prevent of negative power which can protect the DC bus.

In this paper, a novel control method was proposed for current source inverters under the grid-connected working mode. The control scheme is based on a modified droop control method, with an additional current reference signal that will be generated instead of the voltage reference. Hence, there is only a current control loop with droop control in the whole control scheme without voltage control loop. So it is very suitable for grid-connected current source inverter which will simplify the design of the control scheme and combine the advantage of droop control. The parallel configuration is widely used to acquire high power demand, but the circulating current problem is a key issue that should be considered. In this paper, a simulation based on parallel current source inverters using the proposed control scheme is provided. Simulation results showed that a good circulating current suppression capability of the proposed control scheme is obtained with a proper controller design.