GoodWe

In utility-scaled projects, large distributed industrial and commercial projects and energy storage projects, MV station will be used according to the different grid-connected voltage level. MV station as a system of transformer, distribution and ring main unit, the product needs to guarantee the operational safety of the system and the reliability of the power supply.

With the vigorous development of photovoltaic systems and the long-term goal of global carbon neutrality, the grid-connected capacity of photovoltaic systems in countries around the world has also increased

GoodWe provides a new data transfer method using Apache Kafka system. This document will introduce you the pros and cons of this methods and how to get access to it.

PV module is the most expensive part of the entire PV system, module failure directly affects the power generation profit of the whole project lifetime. While module failures such as shattering, hidden cracks, and hot spots are irreversible, the PID effect of a module is a failure that affects power generation efficiency but can be prevented and repaired.

With the gradual establishment of a new power system which renewable energy as the main source, profound changes have taken place in the power system in terms of power supply structure.

It is more important to find a proper communication methods based on different system environment. For example, PLC is normally used in large commercial or utility scale projects because of it cost-saving characters like saving communication cable cost and O&M and system installation cost comparing with RS485.

According to requirement in IEC standards, the reconnection time of inverter to the grid should be within the range of 20 to 300 seconds.

Millions of households around the world install PV systems and some of these systems have been involved in emergency cases, which are caused by the system itself or the environment, such as fifire, lightning, cable damage, etc.

Based on thousands of tests carried on-site, GoodWe arc detection and protection solution adopts the machine learning technology, which can detect the arc fault accurately and protect the system from the arcing, either from the PV module side or the battery side.