Abstract
Abstract There is a knowledge gap about how the load modeling of smart grid affects the accuracy of the analytical reliability evaluation process and its calculation time. This paper tries to fill such a research gap by contributing to developing a methodology which is used to quantify the time reduction of the smart grid reliability assessment provided by various load state reduction strategies. In this paper, four novel load state reduction strategies (the aggregation of identical load states and time/magnitude/time of use pricing-dependent ones) are developed. It is useful to determine the appropriate number of load states according to the trade-off between the computing time and calculation accuracy. The sensitivity analyses are performed to get insight into how the load modeling of smart grids is affected due to various DG technology scenarios and their different penetration levels. To illustrate the advantages of the proposed method, it is applied to IEEE 69-bus test system. The test results imply that a significant time reduction of the reliability assessment process has been achieved while the desired accuracy criteria have been satisfied.
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