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Optimal scheduling for residential load equalization using Integer linear programming
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In this paper, we propose an optimal power demand scheduling algorithm for residential load equalization in a smart grid using integer linear programming. The purpose of the proposed algorithm is to equalize the daily hourly load by minimizing the hourly peak load. In addition, the proposed algorithm first divides residential loads into shiftable loads and non-shiftable loads, and secondly, the shiftable loads are again power-shiftable and time-shiftable. By classifying the load into possible loads, a scheduling was established to optimize each power load and power use time. As a result of applying this optimization algorithm to each electrical device in the residential load, it was analyzed that the result was obtained by minimizing the hourly peak load and reducing the daily hourly peak load.
Abstract
In this paper, we propose an optimal power demand scheduling algorithm for residential load equalization in a smart grid using integer linear programming. The purpose of the proposed algorithm is to equalize the daily hourly load by minimizing the hourly peak load. In addition, the proposed algorithm first divides residential loads into shiftable loads and non-shiftable loads, and secondly, the shiftable loads are again power-shiftable and time-shiftable. By classifying the load into possible loads, a scheduling was established to optimize each power load and power use time. As a result of applying this optimization algorithm to each electrical device in the residential load, it was analyzed that the result was obtained by minimizing the hourly peak load and reducing the daily hourly peak load.
참고문헌 (14)
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