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Summary In the industrial sector, poor power quality (PQ) can malfunction or shut down the processes or equipment, which leads to excessive loss in revenue. During a visit to a chemical industry, it has been observed that equipment ceases operation frequently due to PQ issues, which hinders the completion of consignment within the stipulated time. It has made the industrial authority to feel the need for quantifying the loss of economy due to frequent equipment trip to provide proper immunity to the system against PQ issues. This paper deals with the assessment of financial losses in industrial loads due to voltage sag. Analytical methods considering Monte Carlo simulation technique is implemented for the evaluation of voltage sag due to the occurrence of symmetrical and unsymmetrical faults. Depending on the characteristics of sensitive equipment towards voltage sag, the process trips were evaluated using probabilistic methods for a chemical industry's distribution system. In this paper, a concept of sag score is used to find out the most sensitive buses for the evaluation of the cost of the equipment trip. An energy index is given for the industrial system to find out how much energy is being unused during a voltage sag event. Factors like variable cost, restart cost and hidden cost are influenced by the tripping of sensitive equipment due to voltage sag. The data are collected from the industrial personnel for the evaluation of the proposed methodology.

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