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论文编号：	15114
作者编号：	2320224300
上传时间：	2024/12/10 15:32:54
中文题目：	T公司新能源电站集中运维管理研究
英文题目：	Research on The Centralized Operation and Maintenance Management of T Company''''s New energy power station
指导老师：	李勇建
中文关键字：	新能源发电站；生产运维；组织优化；集中化
英文关键字：	Renewable Energy Power Station;Production and Operation maintenance;Organizational Optimization; Centralization
中文摘要：	摘要 随着全球能源结构的转型和新能源技术的快速发展，新能源发电逐渐成为电力行业的重要组成部分。然而，新能源发电站普遍具有选址偏远、地理位置分散、环境复杂等特点，给传统的生产方式和管理流程带来了巨大挑战。因此，进行新能源发电站运维管理集中化成为解决这些问题、提高运营效率、保障电力供应稳定性的重要途径。 本文以T公司新能源电站新能源电站生产运维工作为研究对象。以生产运营管理理论、运维管理集中化理论作为本研究的理论基础，查阅梳理新能源电站生产运维管理相关文献，并采用全员问卷调查的方式详细了解T公司生产运维情况，梳理出T公司存在工作效率低、现场作业风险高、检修成本高、人员流动性大、设备管理不足、信息共享低、自动化水平低、物资调配不及时等8项主要问题，并总结为4个大的方面问题。针对存在的主要问题通过构建原因分析矩阵的方式，查找T公司新能源生产运营管理问题的成因，主要有出场站分散、生活环境差、专业分工、信息平台不统一等4个主要原因所导致。 对T公司新能源电站生产运维管理模式进行设计，提出一套切实可行的方案包括：运维人员集中、组织优化、区域远程集中监控系统平台建设。借助信息技术和自动化技术，实现新能源发电的智能化、远程化和集中化管理，提高运行效率，降低运营成本，增强市场竞争力。从成立区域“一体化”工作组和运维人力保障等方面设计组织保障措施。并从集中运维管理系统建设、设备维护与检修保障、网络与数据安全保障、持续优化与改进等4个方面提出技术保障措施。同时为保证生产运维的应急灵活性，也提出了应急预案的编制、应急物资保障、应急程序的培训与演练等方面的应急保证措施。 最后对T公司新能源电站运维管理模式优化后的应用效果进行评价，对本文进行总结和未来研究展望。 关键词：新能源发电站；生产运维；组织优化；集中化
英文摘要：	Abstract With the transformation of the global energy structure and the rapid development of renewable energy technologies, renewable energy power generation has gradually become an important component of the electric power industry. However, renewable energy power stations are generally located in remote areas, have dispersed geographical locations, and operate in complex environments, posing significant challenges to traditional production methods and management processes. Therefore, centralized operation and maintenance (O&M) management of renewable energy power stations has become a crucial approach to addressing these issues, improving operational efficiency, and ensuring the stability of power supply. This thesis takes the O&M work of renewable energy power stations of Company T as the research object. Based on the theories of production and operations management and centralized O&M management, it reviews and sorts through relevant literature on the O&M management of renewable energy power stations. A comprehensive questionnaire survey of all staff was conducted to gain a detailed understanding of the production and O&M situation at Company T. Eight major issues were identified: low work efficiency, high on-site operational risks, high maintenance costs, high personnel turnover, inadequate equipment management, low information sharing, low automation levels, and timely material allocation challenges. To address these issues, a cause analysis matrix was constructed to identify the root causes of the problems in the renewable energy production and operations management at Company T, which were mainly attributed to dispersed power stations, poor living conditions, specialized division of labor, and inconsistent information platforms. The thesis designs a new O&M management model for Company T's renewable energy power stations and proposes a practical solution, including centralized O&M personnel, organizational optimization, and the construction of a regional remote centralized monitoring system platform. Leveraging information technology and automation, the goal is to achieve intelligent, remote, and centralized management of renewable energy power generation, thereby improving operational efficiency, reducing operating costs, and enhancing market competitiveness. Organizational safeguard measures are designed in terms of establishing regional "integrated" working groups and ensuring O&M manpower. Technical safeguard measures are proposed in four areas: centralized O&M management system construction, equipment maintenance and repair guarantees, network and data security, and continuous optimization and improvement. Meanwhile, in order to ensure the emergency flexibility of production and operation maintenance, emergency assurance measures have also been proposed, including the formulation of emergency response plans, emergency material supply guarantees, and training and drills for emergency procedures. Finally, the thesis evaluates the application effects of the optimized O&M management model for Company T's renewable energy power stations, summarizes the findings, and provides insights for future research. Key Words:Renewable Energy Power Station;Production and Operation maintenance;Organizational Optimization; Centralization
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