Resilience Capacity Evaluation for the Safety Management System of Power Grid Enterprise Based on AHP-MEE Model
Resilience Capacity Evaluation for the Safety Management System of Power Grid Enterprise Based on AHP-MEE Model
复制标题
基于AHP-MEE模型的电网企业安全管理体系弹性能力评估
DOI：
10.1155/2022/8065814
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发表时间：
2022-07-13
影响因子：
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通讯作者：
Liu，Jiafeng
中科院分区：
文献类型：
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作者：
Zhang，Kai;Wang，Lu;Liu，Jiafeng
随着城市化和现代化的快速发展，人们对电力的要求也随之提高。因此，确保电力的持续稳定供应，维护电网的安全性能至关重要。构建现代化的安全管理体系可以有效提高电力企业应对突发事件的能力。为了有效评价电力企业抵御风险冲击的能力，以及冲击后的恢复和优化能力，本文对电力企业安全管理体系进行了系统的研究。从稳定性、冗余性、效率性和适应性四个基本要素来评价SMS的安全弹性能力。电力企业安全抗灾能力多级评价体系由4个一级指标和25个二级指标组成。在此基础上，提出了一种层次分析法（AHP）与物元可拓法（AHP）相结合的电力企业抗灾能力评价模型。应用所构建的安全弹性评价指标体系和评价模型，对电力企业安全弹性评价进行了实例研究。结果表明，所提出的模型与实际情况相符，验证了指标体系和模型对电力企业安全的可靠性和适用性。根据评价结果，提出了企业安全弹性改进建议。提出了一种新风险下的安全弹性能力评估方法，为构建新能源电力系统奠定了良好的工作基础。
With the rapid development of urbanization and modernization, people’s requirements for electric power are also consequently increasing. It is thus essential to ensure the sustainable and stable supply of power and maintain the safety performance of the power grid. Constructing a modern safety management system (SMS) can effectively improve power enterprises’ ability to respond to emergencies. To effectively evaluate the ability of electric power enterprises to resist risk impact, and the recovery and optimization ability after impact, this paper makes a systematic investigation of the SMS of power enterprises. It evaluates the safety resilience capabilities of the SMS from four basic elements of stability, redundancy, efficiency, and adaptability. A multilevel evaluation system of electric power enterprises’ safety resilience capacity consists of four first‐level and 25 second‐level indices. Then, an analytic hierarchy process (AHP) and matter‐element extension (MEE) joint model—the AHP‐MEE evaluation model of the resilience capacity of power enterprises—is proposed. A case study of electric power enterprise safety resilience evaluation is conducted using the proposed resilience evaluation index system and assessment model. The results showed that the provided model agrees with the actual situation and verified the index system and model for electric power enterprise safety reliability and applicability. Improved enterprise safety resilience recommendations are proposed accordingly based on the evaluation results. This work proposes a robust safety resilience capacity evaluation method in the face of upcoming new risks, thus building a good working foundation to construct a new power system with new energy sources.