Based On Adaptive Ant Colony Algorithm For Reactive Power Optimization

Rational distribution of reactive power in power system is the prior condition which can ensure voltage quality and reduce the loss. Optimization adjustment of reactive power can act on secure and economical operation of power system. So reactive power optimization of power network is an important problem which directly influences voltage quality of the system as well as which relates to economical operation of power network.This paper refers to dynamic reactive optimization. It takes the minimum system network loss in 24 hours as the object function, while adjustment cost of the reactive compensation instruments is considered. The tough aspect of dynamic reactive optimization study is that the real load is always keeping in continuous change. This paper tried to resolve the restriction of instrument by controlling the load periodly, and furthermore transforming the dynamic reactive optimization into reactive optimization on several periods of time. Accordingly, it led to the final particular control project in 24 hours.Ant Colony Optimization (ACO) is an algorithmic approach, inspired by the foraging behavior of the real ants, which can be applied to many problems. Because of its simple mechanism, strong lustiness and effective parallelization, its has been attracting more and more researchers and successfully applied to production problem such as scheduling problems and routing problems. At present the research results of Ant Colony Optimization are not concentrated and the development of theory is not matured. Currently,the research achievements of ant algorithm is dispersive, and the theory development is immethodical. Domestic research achievements of ant algorithm are summarized in the paper. Meanwhile, the usage of adaptive ant algorithm in dynamic reactive optimization of power system is discussed as well. Adaptive ant algorithm mainly involves selection of probability, adaptive adjustment of evaporation of quantity and parameter of information and updating strategy of parameter of information.The adaptive ant algorithm is applied in this thesis according to the features of reactive power optimization of high voltage transmission bus, which are the non-linear problems with multi-variables and multi-restrictions. The objective function is to minimize the active power loss and the system limitations are appended to it as punished functions.The experiments IEEE-30 systems indicate the adaptive ant algorithm is correct and effective when applied in power system.