Evolutive algorithm to optimize the power flow in a network using series compensators

The actual lines have many operation problems like oscillations, a important reactive power flow in the lines... other kind of problems are the planification of the network (power of the generators, reactive power flow in the lines...) or the bad distribution of the power flow in the lines of the network, for example one line overloaded and the other lines below their nominal power, this case happens, for example, in a network when a line falls. Many techniques have been used to solve this second type of problems, actually techniques based in the evolution and natural selection (like genetic algorithms or evolutionary algorithms) are being used combined with electronic equipment. The FACTS are a good electronic equipment to be used in these problems, because the converter can stay in bypass until a line falls, in this moment the converter can be used to solve the problem. The line impedance can be changed using SSSC converters, because they can inject a voltage in quadrature with the line current, so the effect of the converter is a capacitive or a inductive reactance in series with the line impedance. This paper presents an evolutive algorithm that solves the problem of placing SSSC converters in a network to optimize the power flow across all the lines of those network, minimizing the total installed power. The number of converters to be placed and their power will be chosen by the algorithm too.