Reactive power optimization based on Multiple-fractal Feature cluster

The constraints of allowable operation times of tap changing transformers and switches of reactive power compensators should be taken into considered when the dynamic reactive power optimization model is set up to avoid the frequent operation of control devices. The global optimization of reactive power in a day is conducted by load levels forecasted in 24 times intervals. In the present study, the Multi-fractal Features will be used to estimate the variation trend on which is based the time intervals are redivided and the control variables start to work. The constraints of allowable operation times of the control variables are restored to economic costs. The test results show that the reactive power optimization based on the Multi-fractal Features can be appropriately described by the proposed model and is easily to be solved.