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This study explains the construction and use of SAGE, a commercial analysis program used in the development of Stirling engines, and describes its applications. The free piston Stirling engine (FPSE), which is a type of Stirling engine, eliminates excessive mechanical parts to solve the disadvantages of conventional Stirling engines (weight, size, and mechanical loss of connecting parts for reciprocating...
The micro grid is operated in the grid-connected mode and the islanded mode according to the upstream grid. Commonly, micro grid operates the grid-connected mode. But, when a fault occurs in the upstream grid, it should disconnect and shift into islanded operation mode. It is important to maintain the voltage and frequency constant values in islanded mode. To achieve these management goals appropriately,...
In this paper, we introduce data mining techniques for short-term load forecasting (STLF). The proposed approach is K-mean clustering and k-NN classification before forecasting. The K-mean algorithm to classify historical load data by season into four patterns. After that, the electric load which is clustered by seasonal patterns is divided into day-type pattern by use of the k-NN algorithm. The classified...
The micro grid operates in grid-connect mode, but, when a fault occurs in the upstream grid, it should disconnect and shift into islanded operation mode. In grid-connect mode, the controlling power at the PCC(Point of Common Coupling) is necessary management function rather than the frequency and voltage. However, the controlling the frequency and voltage is asked in islanded mode. To achieve these...
In this paper, we performed short-term electric load forecasting using three methods and compared each results. We classified before making a forecasting model using K-means and k-NN to eliminate error from calendar based classification. Classified load data used as inputs of forecasting model. We compared three methods such as ANN, SES, GMDH. We carried out 1-day ahead prediction for two weeks, January...
In this paper, the short-term load forecast is conducted by utilizing SARIMA model and Holt-Winters model including load classification by use of k-NN algorithm. With embodiment of a load classification procedure, it could be possible to provide more accurate load data. After load classification using 1-year training set and 1-year test set, forecast was performed through the two models. Although...
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