Making Distribution Automation Work: The Need for Smart Data
CIM for Analytics: Realizing the value in data
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CIM for Analytics: Realizing the value in dataWhile data acquisition and storage are no longer challenging, the question of what to do with the data is now the central challenge of grid modernization. The value in the data is realized through the application of analytics across the various domains shown in Figure 2. As shown in this figure, asset management is a domain that spans the utility enterprise, stretching from the customer premise meters to substation assets to lines and poles; and involving disparate functional areas of planning and procurement, maintenance, and operation. Consequently, the asset management decisions that play out on a daily basis are varied and complex; and therefore are best made on the basis of dispassionate analysis of relevant data. This domain provides a good example of how utilities are realizing the value in data and the enabling role of CIM in this endeavor. High-value assets such as power transformers are routinely kept in service beyond their nominal lifetime. From a planning and procurement perspective, the replacement planning and repair vs. replace decisions for such assets is driven by risk management calculations. From a maintenance perspective, right-sizing the maintenance program requires an accurate assessment of the asset condition, which is made on the basis of asset health analytics. From an operational perspective, smart tradeoff of use-related deterioration against revenue is a key aspect of maximizing efficiency of the distribution system. There is a growing realization of the value of an analytic-centric strategic asset management program that incorporates these analytical elements. Relevant standards for these are the British standard PAS-55 and the International standard ISO 55000, which enable the institutionalization of asset management best practices and consistent outcomes. 
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