Wind power warning cloud

The wind power warning cloud platform can centrally manage and monitor various equipment operation data, on-site environmental conditions, video monitoring information, warning models, etc. on a unified platform, helping operators to respond quickly to problems; Assisted by mobile homework terminals and other means, real-time and intuitive interaction between the site and the control center can be achieved. It can effectively improve the management efficiency of wind farms, save operational human resources, enhance equipment operation level, and improve overall power generation efficiency.

Overview

Wind power warning cloudThe platform can centrally manage and monitor various equipment operation data, on-site environmental conditions, video surveillance information, warning models, etc. on a unified platform to help operators respond quickly to problems; Assisted by mobile homework terminals and other means, real-time and intuitive interaction between the site and the control center can be achieved. It can effectively improve the management efficiency of wind farms, save operational human resources, enhance equipment operation level, and improve overall power generation efficiency.

General principle

(1) The selection of system software and hardware should follow open system specifications and support multiple international standard protocols, including the use of open operating systems, databases, applications, development tools, interface protocols, etc.

(2) The system adopts advanced concepts, technologies, methods, and equipment, which are reliable and mature, reflect the current international level, and have development potential. The overall technical performance of the system shall reach the advanced level of the current domestic system construction, and maintain its progressiveness within a certain period of time.

(3) The system should have expandability in terms of system capacity, communication capability, processing capability, etc., which can facilitate product upgrades, replacements, and functional expansion. The system adopts advanced technology, methods, and equipment to provide open standard interfaces for third-party applications. In future upgrades, it can effectively protect existing investments and has a high comprehensive performance price ratio.

(4) The system can operate normally 24 hours a day, 365 days a year, and all equipment has high reliability and excellent performance.

(5) The system has high security and confidentiality, and various forms of illegal intrusion into the system are prevented through graded protection, control of data storage permissions, and network security isolation.

(6) The system administrator is able to maintain and manage the system, and during maintenance and repair, it does not affect the overall business operation of the system. At the same time, all documents of the recording system must be complete, accurate, and consistent, and the accuracy of physical connections must be accurately recorded in the corresponding documents. In addition to accurately recording themselves, various documents must also ensure logical consistency between each other. Facilitating user maintenance after handover.

System Network Structure

Main Features

(1) Standardization: The design of the entire monitoring system complies with national or international standards. The system software and hardware adopt standardized design, provide open interfaces, and can interconnect with devices and software systems from different suppliers.

(2) Progressiveness: based on the design concept of configuration software, with a set of general platform, it solves the problems of photovoltaic data acquisition, local SCADA monitoring, cloud platform data analysis, and mobile app operation and maintenance management. The four-dimensional integrated solution promotes the intelligence of distributed photovoltaic operation and maintenance platforms.

(3) Practicality: Based on real-time databases, it can monitor multiple users and screens in real-time, remotely control, and connect to various alarm devices to meet the monitoring requirements of users.

(4) Security: The security of platform monitoring systems is one of the key issues in management. Security is divided into data security and information security, and there are the following requirements in the above three aspects:

Data security: Multi level and distributed storage of data to prevent it from being easily compromised. The AES encryption mechanism for data ensures the security of data during network transmission, preventing interception, tampering, and exploitation;

Information security: All configuration information, management information, and log information are stored in the central database for centralized information management;

Hierarchical authorization: Authorize the application functions and access scope of subordinate administrators. Authorize and manage the application functions and access scope of the operators of the affiliated institutions by subordinate administrators.

(5) Scalability: The entire system has the ability to further expand its functionality and can adapt well to the needs of modern intelligent control. Ensure effective development and use of the system by users, and provide a favorable environment for future development. Can fully utilize and protect existing network resources for current and future expansion; The platform server has the ability to expand and stack, facilitating the integration and expansion of centers at different levels. The system must have strong monitoring points and storage space expansion capabilities.

Feature Introduction

Warning List

Comparison of N fault running time

Summary of Warning Information

Warning mode

summary

The operation of wind farms is developing towards intelligence and unmanned operation. Correspondingly, the maintenance mode of wind turbines is shifting from passive fault repair to proactive preventive maintenance. Identifying and resolving hidden dangers before faults occur, truly preventing them before they occur, is the effective way to reduce costs and increase efficiency.

case

The project is located on the Gobi Desert in the southwest of Jiuquan City, Gansu Province. The site has an altitude between 1405m-1490m and abundant wind resources. The wind direction and frequency of the East Northeast (ENE) wind are the highest, and the prevailing wind direction is stable. The wind speed in this region is relatively high from February to May, and slightly lower in other months, with strong winds in winter and spring, and slightly lower monsoon speeds in summer and autumn. The feasible annual utilization hours are 3027 hours, and the feasible annual average wind speed is 7.66m/s. The wind farm is equipped with four main transformers for a 330KV substation, with a single transformer capacity of 240MVA and a voltage of 35KV/330KV. There are a total of four main transformer incoming lines. The annual power generation is about 605.315 million kWh, which can reduce carbon dioxide emissions by 681400 tons per year. The emission of harmful substances such as smoke and dust is about 275 tons, equivalent to saving 185800 tons of standard coal.

Project construction:

Establish an intelligent distribution operation and maintenance platform at the wind power plant. It is mainly through the reasonable collection of data to accurately grasp the operating status and safety hazards of each device. The project is located on a Gobi Desert, where multiple wind turbine power generation equipment are distributed. There are two box transformers and one equipment container at the bottom of the wind turbines; By communicating with devices such as smoke detectors, temperature and humidity sensors, multifunctional electricity meters for fan cases, multifunctional electricity meters for external box transformers, fan measurement and control devices, cameras, etc., data storage, processing, and real-time alarm functions can be achieved; By collecting or importing wind speed and climate data, the platform analyzes it, calculates the power generation efficiency corresponding to wind speed and climate, and generates corresponding energy-saving solutions.

Users can analyze and manage data on the platform through web access, in order to provide timely warnings of abnormal equipment operation on site. Combined with on-site service or technical support provided by user on duty personnel and regional offline service personnel, the wind turbine case can be unmanned or less manned, as well as real-time monitoring of operation conditions, analysis of operation data, and alarm prompts for fault information. Ultimately, it achieves a safe and reliable, centralized monitoring, regular inspections, on-site defect disposal, accident repair, and regular preventive testing intelligent power operation and maintenance management mode.