
This project, developed by Vietnam Electricity (EVN) in collaboration with the Asian Development Bank (ADB), Rocky Mountain Institute (RMI), Global Energy Alliance for People and Planet (GEAPP), and the Vietnam Energy Institute, marks a crucial step towards Vietnam’s target of developing 300MW of energy storage by 2030, as outlined in the latest Eighth Power Development Plan (PDP 8). [pdf]

Base station energy cabinet: a highly integrated and intelligent hybrid power system that combines multi-input power modules (photovoltaic, wind energy, rectifier modules), monitoring units, power distribution units, lithium batteries, smart switches, FSU and ODF wiring, etc., to effectively solve Various functional requirements such as power supply, backup power supply, and optical network access of base station communication equipment. [pdf]

Utilizing convolutional neural networks to train composite energy storage parameters, introducing softmax classifiers to identify the discharge state of composite energy storage, simulating energy storage capacity, light intensity, and temperature as inputs to the convolutional neural network, and using genetic algorithms to solve the output value of composite energy storage control, achieving adaptive adjustment of composite energy storage in distribution networks. [pdf]
As multiple types of Energy Storages Systems (ESSs) are integrated into Active Distribution Networks (ADNs), their distinct physical characteristics must be individually considered. This complexity accentuates the non-convex and nonlinear of collaborative optimization dispatch for ADNs, posing challenges for traditional solution methods.
To achieve economic and safe operation of the distribution network, an active distribution network-network planning model considering the dynamic configuration of energy storage system energy storage is constructed. This model focuses on energy storage batteries with high ease of use, high modularity, and strong mobility.
After applying the DG grid planning model of ADN energy storage dynamic configuration, the reliability of residential power supply significantly improved, with an improvement rate of 23.56%. Therefore, the maximum power consumption should be considered in the planning of regional variable voltage capacity and distribution network structure.
The reliability index of electricity consumption was improved. The distribution network framework planning method that considers dynamic energy storage configuration can reduce the network construction cost of distribution network operators, while improving the economic benefits of distribution network operators.
Considering the difference of initial state of each cell, a capacity allocation method of energy storage system (ESS) for ADN considering health risk assessment is proposed in the paper.
Based on the above analysis, an ADN network planning model that considers the ESS energy storage dynamic configuration is constructed. Based on the analysis of network structure planning, this model considers the flexible configuration of energy storage in different scenarios of ADN. The role of ESS dynamic energy storage in ADN is maximized.

This is a 10kw 3 phase Hybrid solar inverter on grid off grid solar inverter with battery bank up max solar power 14850w that can can feedback to Grid and provides battery-backup support; Main features include:Hybrid SOLAR inverter with 3 operation modes: Grid-Tie, Off-Grid, and Grid-tie with battery backup."PLUS" model features 14850w PV support to facilitate greater flexibility and supply of power to load and battery charging, thereby reducing dependence on utility.. [pdf]
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