A Solution of Distribution Network Reconfiguration with Wind Power Using Improved ACO Algorithm

The issue of distribution network reconfiguration has always been the focus of attention from industry and academia. In particular, the integration of large number of distributed wind farms brings new problems and severe challenges to the network reconfiguration of active distribution network. The paper presents a solution pertinent to the optimal network reconfiguration of distribution network considering wind power integration. This optimization model is composed of three objectives: minimum power loss, minimum average value of voltage deviation, and minimum variance of voltage deviation, whilst satisfying a series of system constraints. Regarding the established multi-objective optimization model, a kind of super-efficiency data envelopment analysis (SEDEA) model is applied to convert the muti-objective optimization model into a single-objective optimization model, and the scenario-based analysis method is utilized to handle the uncertainty of distributed generation. In addition, the reactive power characteristics of wind turbines are also considered during solutions. Taking into account the complex nonlinear characteristics of the established optimization model, an improved ant colony optimization (ACO) algorithm is applied to find the optimal decision solution. Finally, the simulations are performed on the IEEE 33-bus system as an example to validate the effectiveness of the proposed model and method.