Online monitoring solution for wind solar inverters

Scene Introduction

Guided by Xi Jinping Thought on Socialism with Chinese Characteristics for a New Era. fully implement the spirit of the 19th National Congress of the Communist Party of China and the 2nd, 3rd, 4th, 5th, and 6th Plenary Sessions of the 19th CPC Central Committee, grasp the new stage of development, completely, accurately and comprehensively implement the new development concept, build a new development pattern, take the supply-side structural reform as the main line, adapt to the development needs of the new power system, and build a smart photovoltaic industry ecosystem as the goal. Advance step by step, grasp the trend and law of the development of the digital economy, promote the integration and innovation of the new generation of information technology such as 5G communication, artificial intelligence. advanced computing, and industrial Internet with the photovoltaic industry, accelerate the improvement of the intelligent level of the whole industry chain, enhance the supply capacity of intelligent products and system solutions, encourage the application of smart photovoltaic industry, and promote China's photovoltaic industry to continue to move towards the middle and high end of the global value chain.

Previously, China's photovoltaic and wind power industry has achieved a huge leap from "following" and "running in parallel" to "leading".

With the development of new energy, photovoltaics and wind power have gradually become relatively mature sub fields of new energy. In 2023, new energy installations represented by photovoltaics and wind power will further grow and occupy an increasingly important position in the overall power generation market. One is the large-scale growth of new energy installed capacity. In the first quarter of 2023, the country's new installed capacity of renewable energy reached 47.4 million kilowatts, accounting for more than 80% of all new installed capacity. Among them, wind power added 10.4 million kilowatts to the grid, and photovoltaic power added 33.66 million kilowatts to the grid, far exceeding the growth of other renewable energy subcategories. The second is the continuous growth of renewable energy generation. In the first quarter of 2023, the national renewable energy generation reached 594.7 billion kilowatt hours, a year-on-year increase of 11.4%. Among them, the wind and photovoltaic power generation reached 342.2 billion kilowatt hours, a year-on-year increase of 27.8%. At the same time, the overall electricity consumption of the whole society increased by 3.6%

Industry demand

With the rapid development of the renewable energy industry, the demand for system reliability and performance from wind and photovoltaic power generation companies continues to increase. As a key component, the performance of wind solar inverters directly affects power generation efficiency and the long-term operation of the system. Therefore, the industry urgently needs an advanced online monitoring solution to promptly identify and address issues that may affect power generation efficiency and equipment lifespan.

solution

The online monitoring solution for wind solar inverters focuses on improving the stability and performance of wind and photovoltaic power generation systems. As a key device for converting wind and solar energy into electrical energy, inverters play a crucial role in the system. By tracking the operation status of the wind solar inverter in real time, the system ensures efficient power generation under different weather conditions.

The online monitoring solution for wind solar inverters has been specially customized with advanced technology for wind solar inverters to ensure efficient monitoring and management of this critical equipment：

Solution 1

Specific sensor technology for wind solar inverters： Adopting high-precision multi-channel sensors designed specifically for wind solar inverters, real-time monitoring of environmental conditions around the inverter (such as wind speed and light intensity) as well as key internal parameters (such as current, voltage, temperature, etc.). This ensures in-depth monitoring of specific characteristics of wind solar inverters.

Solution 2

Deep learning analysis of the behavior of wind solar inverters ： Introduce deep learning algorithms to focus on analyzing data patterns related to the behavior of wind solar inverters. This algorithm can more accurately identify potential anomalies and fault situations by learning the normal operation mode of the inverter, making monitoring more professional and accurate.

Solution 3

Real time alarm and maintenance response mechanism： Implement a real-time monitoring and feedback system to ensure that sensor data is transmitted in real-time to the cloud, combined with a real-time analysis engine. Once the system detects abnormal conditions related to the performance of the wind solar inverter, it will immediately issue an alarm to prompt rapid operation and maintenance response, minimizing downtime.

Solution 4

Intelligent predictive maintenance for wind solar inverter characteristics： Based on in-depth analysis of inverter data, establish an intelligent predictive maintenance model. This model can not only predict possible faults in wind solar inverters, but also provide maintenance recommendations specific to inverters to optimize equipment life and performance. Through this customized solution, the online monitoring solution for wind solar inverters aims to provide highly professional and personalized monitoring and maintenance services for wind solar power generation systems.