So it can be concise form said f = f (u, x) = () (6)) equality constraint conditions and inequality conghd green
straints optimal power flow distribution must satisfy the basic trend equation, this is the optimal tide problem of such type constraints.Namely f (x, u, p) = 0.Due to the disturbance of a given p is variable, this type can Jane =.Into g (x, u) = 0 = (7)) inequality constraints (1) active power output upper bound constraints;(2) adjustable reactive power output upper bound constraints;(3) take the load regulating transformer K adjustment range constraints;3 K (4) node voltage modulus upper bound constrghd blue limited edition
aints;(5) transmission lines or transformer device through the maximum current or installed power constraints;(6) line through the biggest active power flow or reactive power flow constraints (7) line voltage difference constraints on both ends of the node phase Angle, and so on.United said for h (u, x) < = 0 (8)) the optimal mathematical model with the trend of the power system, the mathematics model of the optimal power flow can be expressed as min f (u, x), u s. t.???G (u, x) = 0?H (u, x) than 0???(9)) using different target function and choice of different control variables, again and the corresponding constraints a combined with article, can form different optimal poweghd blue straighteners
r flow problem.(1) for the active andghd pink straighteners reactive for comprehensive optimization of the general term actually usually optimal power flow problem.(2) active optimal power flow (3) reactive power optimization tide, the optghd blue serenity hair straighteners
imal flow algorithm three review (a) the optimal flow algorithm the optimum flow algorithm classification a classified according to deal with different classification of choice according to the constraint of correction different classification according to how to determine the direction of the correction classification 1. According to deal with the method of constraint classification can be divided into three categories.