Abstract

In recent years, power grid accidents have occurred frequently and higher requirements have been placed on their safety operation. In current safety management in the world, there is an effective practice that uses a unified standard for structuring an accident case database and based on that database, conducts quantitative analysis to cope with accident risks. However, that is not the case for power safety management. Case-based reasoning (CBR) is such a process that solves new problems based on the solutions to similar past problems. It works by matching a current problem with historical cases and solutions in a database, in order to obtain similar case solutions or inspirations. In the matching process, if necessary, such past solutions may be modified in order to better adapt to the current actual problems. Based on the CBR method, this paper proposes how to construct a case database of power grid operational accidents, provide data support for management of power grid risks and provide knowledge services for accurate grasping of grid accident development dynamics and making quick decisions to rapidly response to the emergencies. First, it designs an operational accident case database after considering the following three aspects: case features, power grid features and accident features based on safety management theory. Secondly, in terms of how to use the power grid operational accident case database, it proposed a two-level search strategy, as well as the corresponding similarity calculation methods for different feature attributes of the case. Finally, it carried out a demonstration to verify the model by selecting four typical grid accidents. The grid database and CBR strategy proposed in this article could help China’s power grids practice intelligent analysis of grid operational accidents and improve digitalization in safety management.

Highlights

  • Electricity power is vital to the commerce and daily functioning of the world

  • From the perspective of management of power grid operational accidents, the current research focuses on specific cases, so it lacks a systematic approach and universal relevance and the research results can only be applied to specific circumstances, environments and conditions

  • Different from previous studies, which mainly involved the qualitative analysis of accident information, this research analyzes the features of grid operational accidents, quantifies and standardizes them, forms a standardized database structure and considers the complexity of grid operation accident management and propose a two-level case retrieval strategy

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Summary

Introduction

Electricity power is vital to the commerce and daily functioning of the world. An electric power grid comprises all of the power plants generating electricity and the transmission and distribution lines and systems which transmit power to end-users. From the perspective of management of power grid operational accidents, the current research focuses on specific cases, so it lacks a systematic approach and universal relevance and the research results can only be applied to specific circumstances, environments and conditions. From the above literature review, it can be seen that currently China’s research on the risk and accident management of power grid operations is still based on the qualitative analysis of individual cases. PEER REVIEW of 12 operational accidents information system based on CBR, designs the structure of the grid operational early warning and decision-making has become a research hotspot. Paperdata proposes the for the accident case database and studies the case retrieval strategy, whichThis can offer support architecture of a power grid operational accidents information system based on CBR, designs the management of power grid risks. The full text is summarized and the future research work is prospected

Framework of Case
Database Design
Power Grid Accident Data Collection
Search Strategy
Similarity Calculation
Research Context and Case Data
Data Analysis
Discussion
Managerial Implications
Conclusion and Future Work
Full Text
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