Monitoring device and method for power of photovoltaic power station based on edge calculation

Abstract

The invention provides a monitoring device and a method for the power of a photovoltaic power station based on the edge calculation. The device comprises a photovoltaic module controller and a DTU concentrator, a cloud server, and a user terminal. The photovoltaic module controller is mounted in a photovoltaic component, and integrates: an MPPT photovoltaic component output control unit, an MCU processor unit, and a ZigBee communication unit. The DTU concentrator constitutes a collection node of the ZigBee communication unit, and forwards data such as photovoltaic power to a cloud server through a wireless communication network. The user terminal is configured to read data of the cloud server, and realize visual monitoring of power of each photovoltaic component in the photovoltaic power station. According to the monitoring device and the method for the power of a photovoltaic power station based on the edge calculation, the PV module controller has certain edge computing capabilitiesthrough hardware and software improvements basing on the existing PV module controller and MPPT tracker design. The computational efficiency and speed are improved, and efficient and real-time power tracking is achieved, thereby achieving unexpected benefits.

Description

technical field [0001] The invention relates to the field of Internet of Things and photovoltaics, in particular to a photovoltaic power station power monitoring device and method based on edge computing. Background technique [0002] Distributed photovoltaics has achieved tremendous development in my country in recent years. In 2017, the installed capacity of distributed photovoltaic power generation in China was about 19.4GW, which was 3.6 times higher than that in 2016, accounting for 27.1% of the total installed capacity of solar photovoltaic power generation in China. 13.7TWh of electricity was generated, enough to power all households in Beijing for 7.5 months. At present, China's distributed photovoltaic power generation devices are mainly installed in the eastern and southern regions where China's economy is the most prosperous. Most of the distributed photovoltaics are installed directly on the roof of buildings or public spaces in communities, so they are closely re...

AI Technical Summary

Problems solved by technology

However, the only component controllers currently on the market (mainly international brands) are not only expensive and difficult to popularize, but also have certain deficiencies in technology, including: large data granularity, such as collecting a set of data in 5-10 minutes; The data collected by each controller is uploaded to the data center or cloud in a unified and concurrent manner, resulting in strong network dependence, so there is a relatively obvious delay (about 30 minutes) from data collection to platform display results; long delays are also not conducive to feedback Direction control and shutdown; network transmission is unstable and disconnected, and data may be lost when the network is disconnected;

[0005] Due to the above-mentioned technical and data problems, the data value and application effect of the component controller are objectively affected, and it is difficult to achieve timely, accurate and fast data processing and event response

One of the important reasons for this is that none of the photovoltaic module controllers on the market currently has the capability of edge computing, that is, the controller can only perform basic data collection and transmission, and can only be remotely controlled by the server, and the power generation data is stored on the cloud server. Real-time and historical data cannot be stored, queried, calculated, analyzed and judged locally

When the number of controllers continues to increase, the data throughput and computing power of the cloud server will be under tremendous pressure, and even cause the server to crash

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