間歇性負載的動作特性是較為特殊的,可能有週期性及非週期性,有載動作時間並不是連續的而是非連續的。傳統在規劃此類型負載線路之導線、開關、熔絲、斷路器及變壓器時,皆是以間歇性負載連續使用時之等效額定為基準。若要考慮間歇性負載的使用率來做變壓器的規劃則較不易訂定,因此如何將變壓器容量的規劃達到負載需求及最經濟的考量是重要的探討方向。 本文利用基因演算法,規劃具間歇性負載工廠中之變壓器容量,並配合變壓器出廠容量規格來做為設計值,使其結果更具真實性。本文考慮間歇性負載壓降持續時間造成的壓降限制及發生次數的影響,在滿足系統負載特性的同時,將變壓器總成本極小化,得到最經濟建設成本的需求。 本文以11匯流排及18匯流排之2個具間歇性負載工廠作為測試對象,由模擬測試結果找出最佳的變壓器組合,並由結果顯示本文所提之方法具相當之可行性。 關鍵詞:間歇性負載,週期性,非週期性,變壓器容量,基因演算法
The characteristics of intermittent loads are special. It may be periodic or non-periodic. The action period of the intermittent loads is not continuous. Traditionally, the feeder, switch, fuse, breaker and transformer planning were based on the full load. When considering the rate of use of intermittent loads, it is not easy to determine the transformer capacities. Therefore, it is important to explore the transformer capacity planning by considering the demand and economic factors. This thesis proposed a new method based on Genetic Algorithms (GA) to determine the transformer capacities for intermittent loads. The transformer capacities should satisfy the specifications. The costs of transformers were minimized while the voltage fluctuations (dips) and frequency should satisfy relevant standards. An 11-bus and 18-bus systems were used to be the test systems. From the simulation results, it is found the proposed method can be used for determining transformer capacities efficiently. Keywords: Intermittent loads, periodic, non-periodic, Transformer capacities, Genetic Algorithms