海上风电场智慧运维管理系统 |
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作者姓名: | 杨源 汪少勇 谭江平 陈亮 |
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作者单位: | 中国能源建设集团广东省电力设计研究院有限公司,广州510663 |
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基金项目: | 国家自然科学基金资助项目“考虑变压器非线性高频特性的海上风电场内部过电压产生机理及暂态特征提取方法研究”51477054中国能建广东院科技项目“海上风电智能运维策略研究”ER05281W |
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摘 要: | 目的]针对海上风电场运维安全管理,提出了海上风电场智慧运维管理系统.方法]通过海上风电智慧调度系统、海上风电雷达多源跟踪及边界警示系统、海上风电场风机平台作业监管系统,搭建出海上风电场智慧运维管理系统.结果]通过陆上集控中心的海上风电智慧调度系统,实现人员的安全管理以及船舶调度.通过海上风电雷达多源跟踪及边界警示...
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关 键 词: | 海上风电 智慧运维管理系统 雷达多源跟踪及边界警示系统 风机平台作业监管系统 |
收稿时间: | 2020-07-09 |
The Intelligent Operation and Maintenance Management System for Offshore Wind Farms |
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Affiliation: | China Energy Engineering Group Guangdong Electric Power Design Institute Co., Ltd., Guangzhou510663, China |
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Abstract: | Introduction Aiming at the operation & maintenance and safety management of offshore wind farm, the intelligent operation and maintenance management system for offshore wind farms is proposed. Method Through the intelligent dispatching system of offshore wind power, multi-source tracking and boundary warning system of offshore wind power radar, and operation supervision system of offshore wind farm wind turbine platform, the intelligent operation and maintenance management system of offshore wind farm was built. Result Through the offshore wind power intelligent dispatching system of the onshore centralized control center, personnel safety management and ship dispatching can be realized. Through the offshore wind power radar multi-source tracking and boundary warning system, the full-range tracking of ships in the ocean area is realized, and the safety of the wind turbines and submarine cables of the offshore wind farm can be ensured. Through the wind turbine platform's offshore wind farm fan platform operation supervision system, the comprehensive management of wind turbine operators on the wind turbine platform can be assured. Conclusion Therefore, it can realize the overall management of personnel, ships and wind turbines in offshore wind farms, it effectively ensures the safety management of personnel and ship scheduling, improves the safety of wind turbines and submarine cables of offshore wind farms, and realizes the intelligent operation and maintenance efficiency of offshore wind farms, which is expected to be applied and promoted in the project. |
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