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投稿时间:2023-04-24 修订日期:2023-05-23
投稿时间:2023-04-24 修订日期:2023-05-23
中文摘要: 设备质量是电网安全稳定的物质基础,提高电网装备水平,推动电网装备迈向中高端,持之以恒提升电网本质安全水平,是当前和今后一个时期工作的重中之重,而只有把好电网设备入网质量关,即从采购质量入手,才能从本质上提高设备质量。近年来,国网公司在招标前开展供应商资质能力核实,通过对供应商的资质、业绩等信息及现场实际生产情况核实确认,初步掌握了潜在供应商是否具备生产合格产品的资质和能力。但仍存在设备运行期间发生重大故障等情况。因此,为有效防控和杜绝产品技术风险,推动现有电力企业由规模扩张型向质量效益型转变,强化电网全过程质量管控,从源头入手提高设备质量,建立基于PSO-ELM的供应商选择机制,推动电网设备向中高端迈进、提升电网本质安全与可靠水平。
Abstract:The quality of equipment is the material basis for the security and stability of power grid. Improving the level of power grid equipment, promoting the power grid equipment to move towards the middle and high-end, and constantly improving the intrinsic safety level of power grid are the most important tasks at present and in the future. Only by controlling the quality of grid equipment entering the network, that is, starting from the procurement quality, can the equipment quality be improved in essence. In recent years, State Grid Corporation of China has carried out supplier qualification and capability verification before bidding. Through verification and confirmation of supplier"s qualification, performance and other information and on-site actual production situation, it has preliminarily grasped whether potential suppliers have the qualification and ability to produce qualified products. However, there are still major failures during the operation of the equipment. Therefore, in order to effectively prevent and eliminate product technology risks, promote the transformation of existing power enterprises from scale expansion type to quality benefit type, strengthen the whole process quality control of power grid, improve equipment quality from the source, establish a supplier selection mechanism based on pso-elm, promote power grid equipment to move towards the middle and high-end, and improve the intrinsic safety and reliability level of power grid.
keywords: power equipment index evaluation suppliers evaluation and selection particle swarm optimization algorithm extreme learning machine
文章编号: 中图分类号:F203 ?? 文献标志码:
基金项目:国家电网公司科技项目(基于大数据分析的运检策略与资源优化研究,52020118000V);国家电网北京市电力公司科技项目(基于大数据分析的供应商绩效评价方法研究,52022318001H)
作者 | 单位 | |
滕景竹* | 国家电网北京电力科学研究院 | 1043429711@qq.com |
Author Name | Affiliation | |
tengjingzhu | State Grid Beijing Electric Power Research Institute | 1043429711@qq.com |
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