Proceedings of the 2nd International Conference on Engineering Management and Information Science, EMIS 2023, February 24-26, 2023, Chengdu, China

Research Article

Social stability risk assessment model for photovoltaic energy project under the background of artificial intelligence

Download179 downloads
  • @INPROCEEDINGS{10.4108/eai.24-2-2023.2330618,
        author={Naiwen  Li and Zijian  Lu},
        title={Social stability risk assessment model for photovoltaic energy project under the background of artificial intelligence},
        proceedings={Proceedings of the 2nd International Conference on Engineering Management and Information Science, EMIS 2023, February 24-26, 2023, Chengdu, China},
        publisher={EAI},
        proceedings_a={EMIS},
        year={2023},
        month={6},
        keywords={photovoltaic artificial intelligence ahp ewm comprehensive evaluation social stability risk},
        doi={10.4108/eai.24-2-2023.2330618}
    }
    
  • Naiwen Li
    Zijian Lu
    Year: 2023
    Social stability risk assessment model for photovoltaic energy project under the background of artificial intelligence
    EMIS
    EAI
    DOI: 10.4108/eai.24-2-2023.2330618
Naiwen Li1, Zijian Lu1,*
  • 1: Liaoning Technical University
*Contact email: 853279221@qq.com

Abstract

To scientifically and accurately assess the level of social stability risk of PV projects, through literature search, field research, accident analysis and expert consultation, build a PV project social stability stability risk system containing 4 level 1 indicators and 14 level 2 indicators, take the L PV project in Inner Mongolia Autonomous Region as an example, verify the validity of the evaluation model. The results show that, the overall risk index of the project is 1.58, risk level is low risk, where the ecological risk level is low risk, public management risk level is medium risk, policy specification and establishment level is low risk, project management risk level is low risk, highly compatible with the actual situation of the project, the evaluation model can reflect the social stability risk level of PV projects more accurately and objectively, and to provide a reference for risk management and early warning mechanism.