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基于系统思维的重大电力工程项目管控研究
引用本文:朱学文,裴爱华,彭 飞,张 伟. 基于系统思维的重大电力工程项目管控研究[J]. 工程管理学报, 2022, 36(5): 113-118. DOI: 10.13991/j.cnki.jem.2022.05.020
作者姓名:朱学文  裴爱华  彭 飞  张 伟
作者单位:1. 南方电网有限责任公司;2. 超高压输电公司;3.南方电网能源发展研究院;4. 华中科技大学土木与水利工程学院
摘    要:为提高重大电力工程建设管理的科学性和有效性,通过引入系统思维,构建了8个子系统28个指标的重大电力工程系统管控及其绩效评价模型,并运用G1法确定了指标权重。以昆柳龙特高压多端直流示范工程为案例,实施云模型的绩效评价结果为介于“优”和“良”之间,其中进度管理绩效接近于“特优”,而结构分解仅为“中”。结果表明,所构建的重大电力工程系统管控及其评价体系较为全面,可为实现多目标、全周期、多主体和全要素的统筹管理提供借鉴。同时所揭示的管理薄弱方面,如结构分解、环保管理等应得到更高程度的重视和更严格的管控。

关 键 词:重大电力项目  系统思维  绩效评价模型  昆柳龙工程  云模型

Comprehensive Model of Mega Power Project ManagementBased on System Thinking
ZHU Xue-wen,PEI Ai-hua,PENG Fei,ZHANG Wei. Comprehensive Model of Mega Power Project ManagementBased on System Thinking[J]. Journal of Engineering Management, 2022, 36(5): 113-118. DOI: 10.13991/j.cnki.jem.2022.05.020
Authors:ZHU Xue-wen  PEI Ai-hua  PENG Fei  ZHANG Wei
Affiliation:1. China Southern Power Grid;2. EHV Transmission Company;3. China Southern Power Grid Energy Devlopment Research Institute;4.School of Civil and HydraulicEngineering,Huazhong University of Science and Technology
Abstract:To improve the scientificity and effectiveness of the construction management of mega power projects,this paperintroduces systematic thinking and builds a performance evaluation model of mega power engineering systems containing 28indicators in 8 subsystems. The G1 method is used to determine the comprehensive weight of each index. Taking the Kunliulong DCdemonstration project as a case,the performance evaluation value using the cloud model is "good". The results show that theestablished management and control evaluation system of mega power engineering projects is relatively comprehensive,which canprovide reference for the realization of multi-objective,full-cycle overall management. Meanwhile,the exposed weak links inmanagement,such as structural decomposition and environmental protection,should be highly valued and strictly controlled.
Keywords:mega power project   system thinking   performance evaluation model   Kunliulong project   cloud model
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