基于云模型的抽水蓄能电站技术人才技术进步程度评价研究

Cloud Model-based Technological Progress Degree Evaluation of Pumped Storage Power Plant Technical Personnel

  • 摘要: 抽水蓄能电站具有明显的灵活储能、电力调节优势,对构建新型电力系统有着重要的战略意义。抽水蓄能电站持续稳定发展目标的实现需要持续的技术人才支撑。本文在对抽水蓄能电站技术人才相关研究分析的基础上,立足组织需求,融合“知识、能力和实绩”全方位构建了技术人才技术进步程度评价指标体系;为有效减少主客观赋权中的片面性,综合运用G1-CRITIC法和博弈论思想,提出了进步程度评价指标的主客观权重和最优综合权重;利用云评价模型对指标体系进行评估与分析,验证了此评价指标体系能较好衡量技术人才的技术进步程度,指标权重分配合理。

     

    Abstract: With the in-depth construction of new power system, new energy planning and development, there is higher requirements for the flexibility of the power supply, energy storage construction and grid regulation. Pumped storage power plant has obvious advantages of flexible energy storage and power regulation, whose high-quality development has strategic significance towards the new power system construction. The realization of the goal of sustainable and stable development of pumped storage power plants requires continuous technical talent support. Therefore, how to measure the degree of technical progress of technical personnel and enhance the technical contribution of technical personnel is the key to promote the scientific and orderly high-quality development of pumped storage power plants. This paper is based on the analysis of pumped storage power station technical talent related research, the organization's needs, the integration of "knowledge, ability and performance" all-round construction of technical talent technical progress evaluation index system. In order to effectively reduce the subjective and objective empowerment of one-sidedness, the comprehensive G1-CRITIC method and the idea of game theory are employed, and the subjective and objective evaluation index of progress is used. In order to effectively reduce the one-sidedness in the subjective and objective weights, the subjective and objective weights and the optimal comprehensive weights of the progress evaluation indexes are proposed by using the G1-CRITIC method and the idea of game theory; the cloud evaluation model is utilized to evaluate and analyze the index system, and it is verified that this evaluation index system can better measure the degree of technical progress of the technological talents, and the weights of the indexes are reasonably distributed.

     

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