Ning Liu

This paper proposes an optimization strategy for Feeder Terminal Unit (FTU) configuration in distribution networks, accounting for the influence of Distributed Generation (DG). Firstly, the impact of different FTU configurations on load interruption duration was analyzed. Regions were divided based on the planned installation locations of FTUs, and a model for calculating load interruption losses in different regions was established. Secondly, an all-probability model was introduced to calculate the probability of DG disconnection during faults. The importance weight of DG was determined based on its capacity, and a loss model for photovoltaic disconnection was constructed accordingly. Then, an optimization configuration model was established with the objective of minimizing the weighted sum of FTU installation costs, load interruption losses, and DG disconnection losses, while constraining the solution by supply reliability. Finally, the accuracy of the proposed optimization model was validated using Particle Swarm Optimization (PSO) through the IEEE 33-node distribution network model.

Coordinated operation among various converters within a power router (PR) is crucial for ensuring its normal operation. Since the power balance among converters in a DC PR is reflected by the DC bus voltage level, maintaining stable DC bus voltage control is particularly important as it directly affects the coordinated operation of each converter. This study proposes a coordinated control strategy for multi-port power routers based on DC bus voltage droop regulation, addressing the limitations of existing methods that rely on communication and complex control units. Based on DC bus voltage signals, all power ports automatically switch their operating states, ensuring that only one converter operates in voltage source mode at any given time, thereby maintaining the system’s bus voltage and power balance. This enables effective coordination among converters and ensures stable system operation without requiring communication between converters, simplifying control while maintaining internal system stability.

This paper presents an advanced dynamic voltage restorer with integrated energy optimal compensation (EOC-DVR), which combines the advantages of pre-sag compensation and energy minimization compensation. The performance parameters of the EOC-DVR, such as the compensatory capability, loss of energy, and duration of compensation, can be balanced by this optimal compensation strategy. Additionally, the impact on the load is further reduced by the proposed method. By analyzing the working process of optimal comprehensive energy, the compensation limit of the strategy is discussed. After that, both the voltage and active power of the system for compensating are obtained by analyzing the compensation characteristics of the strategy. Therefore, the relations of the formula and curve between the related physical quantities can be obtained. Finally, simulation results based on MATLAB/Simulink are provided to verify the effectiveness of proposed compensation method.

As a result of distributed energy development, the demand for energy storage grows more rapidly. The optimization of energy storage allocation is urgently needed. The economic benefits and characteristics of storage allocation have been thoroughly explored, and a mathematical model of economy was established. The centralized configuration of energy storage can make the best use of surplus electricity and reduce charging loss. The peak cutting and valley filling effect is quite obvious. Furthermore, some allocation strategies of storage were proposed. Based on the data of a user-side transformer and photovoltaic power generation, the cost under different strategies and the configuration scheme with the lowest cost is calculated. The example was used to analyze and compare the benefits under various strategies, and the results show it works in cost-saving. The strategy of similarity storage allocation has a positive effect on energy and cost-saving.