Patent•
Distributed photovoltaic power station fault monitoring method and device based on edge computing
29 Oct 2019-
TL;DR: In this article, a distributed photovoltaic power station fault monitoring method and device based on edge computing, which are applied to an edge computing device, is presented, which comprises the steps of: obtaining meteorological and environmental parameters of an area where a target DPS is located, cloud block image data and field equipment image data above the target DSS, predicting the power generation power of the target distributed DPS in a set time period by using the cloud block images above and the field Equipment image data to serve as predicted power generator power.
Abstract: The application provides a distributed photovoltaic power station fault monitoring method and device based on edge computing, which are applied to an edge computing device. The method comprises the steps of: obtaining meteorological and environmental parameters of an area where a target distributed photovoltaic power station is located, cloud block image data and field equipment image data above the target distributed photovoltaic power station; predicting the power generation power of the target distributed photovoltaic power station in a set time period by using the meteorological and environmental parameters, the cloud block image data above and the field equipment image data to serve as predicted power generation power; acquiring actual power generation power of the target distributedphotovoltaic power station within the set time period; and monitoring whether the target distributed photovoltaic power station has abnormity or faults or not by comparing the predicted power generation power with the actual power generation power. In the application, the abnormity or fault monitoring of the target distributed photovoltaic power station can be achieved through the mode, and the monitoring reliability is improved.
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Patent•
07 Jul 2020
TL;DR: In this article, a distributed power supply scheduling control method based on edge calculation is proposed to reduce the influence of a renewable energy power station with unstable output on the power distribution network.
Abstract: The invention relates to the technical field of power distribution networks, in particular to a distributed power supply scheduling control method based on edge calculation. The method comprises the following steps: A) obtaining a topological structure and scheduling data of a target distribution network, and listing a transformer, energy storage equipment and a wind-solar power station in the target distribution network; B) reading an active power prediction value and a reactive power prediction value of the load in the next time period, and predicting the output of the wind-solar power station; C) calculating a characteristic value, and if the characteristic value is smaller than a set threshold value, entering a step E); D) only outputting active power by the wind-solar power station, and returning to the step B); E) calculating the ratio of active power to reactive power output by the wind-solar power station; and F) respectively outputting the real-time output of the wind-solar power station as active power and reactive power according to the ratio, and returning to the step B. The method has the substantive effects of reducing the influence on the power distribution network when the renewable energy power station with unstable output is accessed to the power distribution network, being beneficial to expanding the access of renewable energy, and being suitable for the power distribution network with high permeability.
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Patent•
24 Feb 2010
TL;DR: In this article, a tracker system for photovoltaic power generation is provided to control the operation of trackers by monitoring the operation state and the abnormality of the trackers which are installed in a PV power plant.
Abstract: PURPOSE: A tracker system for a photovoltaic power generation is provided to control the operation of trackers by monitoring the operation state and the abnormality of the trackers which are installed in a photovoltaic power plant. CONSTITUTION: A GPS receiver(110) extracts a GPS time data from a received data. A wind direction and speed monitoring device(120) monitors an abnormal climate such as a tornado and a local gale according to seasons. An image monitoring device(130) monitors the image display, the image recording and the movement of a plurality of trackers which is installed in a photovoltaic power plant. A weather data providing server(140) transmits a forecast data for the abnormal climate. A tracker management server(200) outputs a synchronizing signal and a slant angle control signal according to the operation signal of tracker components.
3 citations
Patent•
24 May 2017
TL;DR: In this article, a real-time photovoltaic power prediction system using realtime shooting is presented. But the system is composed of a camera, a camera storage module, an image change recognition module, a environmental monitoring instrument, a computer, image processing program module, and a power analysis module, as well as a history and statistical analysis database subsystem.
Abstract: The invention, which belongs to the technical field of new energy power generation, particularly relates to a system for realizing ultra-short-term photovoltaic power prediction by using real-time shooting. The system is composed of a camera, a camera storage module, an image change recognition module, an environmental monitoring instrument, a computer, an image processing program module, a photovoltaic power analysis module, a history and statistical analysis database subsystem, a communication connection device, and a system power supply. A common shooting device and the environmental monitoring instrument obtain cloud data and environmental data of a photovoltaic power plant area; the computer analyzes and sets a cloud image change and an image gray scale at a time interval; and accurate minute-level ultra-short-term photovoltaic power prediction is realized by combining historical and statistical analysis data and data of the solar track point. The system can be implemented simply and practically and can be popularized easily.
1 citations
Patent•
04 Jan 2019
TL;DR: In this article, the authors proposed a fault detection method for photovoltaic power stations in various environments at provincial or national scales connected to the State Grid Distributed Photovolta Cloud Network.
Abstract: Embodiments of the present application provide a fault detection method, apparatus, apparatus, and storage medium for a photovoltaic power station. The fault detection method comprises the following steps of: acquiring photovoltaic power generation and environmental parameters of the photovoltaic power station in a specified period of time; According to the neutralization of the environmental parameters and the neural network model trained in advance, the power prediction value and prediction error of the photovoltaic power station in a specified period of time are determined. According to thepower of photovoltaic power generation, power prediction value and prediction error, whether the photovoltaic power station has a fault in a specified period of time is judged. The embodiment of thepresent application realizes accurate detection of photovoltaic power station faults, is applicable to photovoltaic power stations in various environments at provincial or national scales connected tothe State Grid Distributed Photovoltaic Cloud Network, and can realize effective dispatch of a large number of photovoltaic power stations at provincial or national scales.
1 citations