為了評估我國實施需量反應中直接負載控制之可行性,本文提出「COP最佳化法」、「容量比例分配法」及「混合型卸載最佳化法」應用於「需求面能源管理系統」執行需量卸載的分配演算法。在都會地區之高壓用戶中,有高達65%之用戶認為若欲實施需量交易,空調負載是最適合進行交易之電力負載。由於一般的工廠、大樓等場所中的空調主機是由多台組成的,用戶為了達成允諾的負載量,若以手動的方式卸載時,不易調整至期望值,並且造成機電人員在計算分配卸載的麻煩。因此「COP最佳化法」利用非線性規劃配合著空調主機的性能係數,自動地分配每一台空調主機的卸載量,使得空調主機群的冷凍能力總合發揮到最大。當空調主機的性能係數無法取得時,則改以「容量比例分配法」依照空調容量的比例來平均分配每台空調的卸載量,使得用戶自動化地完成需量卸載。若用戶的空調主機不敷需量卸載要求時,可以增加其他電力設備,如:泵浦、照明設備等一同卸載,此時以「混合型卸載最佳化法」計算其卸載分配量。
In this thesis, we proposed the "COP(Coefficient Of Performance) optimization method", the "capacity ratio method" and the "mix shed optimization method" in “Demand-side Energy Management System” in order to evaluate the possibility of direct load control of demand response. About 65% of users in the metro consider the air-condition load to be a good way of shed load in the demand exchange. Nevertheless the staffs have difficulties in shed balance because there are many air-conditioners in the buildings or factories. The "COP optimization method" distributes the shedding load in air-conditioners automatically with the use of nonlinear programming to maximize the COP of air-conditioners. We used the "capacity ratio method" to distribute the shedding load in air-conditioners if we do not have the coefficients of air-conditioners. We also used the "mix shed optimization method" if the air-conditioners load does not fit the demand shedding.