Open AccessMulti‐attribute analysis on voltage sag insurance mechanisms and their feasibility for sensitive customers
Author(s) -
Xiao XianYong,
Chen YunZhu,
Wang Ying,
Ma YuanQian
Publication year - 2018
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2018.5426
Subject(s) - voltage sag , insurability , correctness , government (linguistics) , rationality , risk analysis (engineering) , computer science , process (computing) , business , insurance policy , power (physics) , actuarial science , electric power system , general insurance , insurance law , algorithm , linguistics , physics , philosophy , quantum mechanics , political science , law , operating system
Nowadays, more and more high‐tech enterprises pay great attention to the enormous losses and risks caused by voltage sag. There is an urgent desire for voltage sag insurance. However, a feasible insurance mechanism is not yet available. Relationships among stakeholders (customers, insurance institution, power utility and government) are studied based on the analysis of insurability of voltage sag loss risk, and three possible voltage sag insurance mechanisms are proposed. Multi‐objective two‐stage decision‐making method is introduced to combine the expectations of attributes of mechanisms for different stakeholders; the proposed method can simplify the fuzziness and the complexity of evaluating the process. This method combines the integrating scattered information into effective evaluation information, and it can reflect the recognition of different mechanisms by all the stakeholders objectively. This method can determine voltage sag insurance mechanisms, which are with the high feasibility to satisfy the requirement of all the stakeholders and to make sure all attributes are in good condition. Finally, the results of case studies for three high‐tech customers located in the high‐tech park have proved the correctness and rationality of the recommended insurance mechanism.