New energy data colleting device, system and method for multiple application scenes

Abstract

The invention discloses a new energy data colleting device, system and method for multiple application scenes. Onsite data is collected, and an electric energy quality analysis module, a fault behavior characteristic analysis module, an active power control capability test module and an island preventive analysis module are used to analyze the data. Characteristics of many data types, large data bulk and high requirement for reliability of a tester are taken into consideration, and the new energy data colleting device, system and method have the advantages that a data classification capabilityis high, test functions are comprehensive and a test result is highly reliable.

Description

technical field [0001] The invention relates to the technical field of new energy remote testing, in particular to a new energy data acquisition device, system and method for multiple application scenarios. Background technique [0002] The "Global Energy Internet Concept" proposed by the power grid company has received positive responses from major countries in the world. From a global perspective and a strategic perspective, it studies and thinks about the sustainable development of world energy, which is a major proposition related to the common interests of all mankind. It systematically analyzes the historical role, current role and future positioning of global fossil energy and clean energy, and reveals the objective laws of energy development. Profoundly pointed out that clean substitution and electric energy substitution will become the inevitable trend of global energy development, and proposed to establish a global energy concept, with a global, historic, different...

AI Technical Summary

Problems solved by technology

[0005] The remote test system in the existing technology generally only conducts comprehensive collection and analysis for the operation data of wind farm or photovoltaic power plant equipment, and cannot conduct in-depth analysis of a certain characteristic behavior alone

[0006] The test nodes are located in geographically dispersed locations. The test system collects data from multiple different information collection nodes. It is extremely important to select the correct dynamic data for analysis to improve the accuracy of the test. Due to network delays and other reasons, the delivery test and The data time and space of the detection data center cannot be correctly corresponded, which will have a significant impact on the performance of the entire system. However, the existing system does not have high requirements for real-time data, and the data of each node cannot reflect the accurate state of time at a certain moment due to network delay problems. , affecting the test results

[0007] The operating status of the equipment will have a certain impact on the test results. However, the number of wind farms or photovoltaic power plants is scattered and the distribution is relatively scattered. The existing remote testing system generally does not supervise the equipment, and cannot grasp the operating status of the equipment in time during the test.

To conduct a more comprehensive test and supervision of wind farms or photovoltaic power plants, it is necessary to install multiple systems with different functions at the same time. Each system collects data repeatedly, and the information interaction between systems is poor and the operation is more complicated. Therefore, it is urgent to build a system that can meet various Functional requirements, remote experiments and test systems applied in different scenarios

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