Fuzzy Modeling Method and Device for Distributed Generation System

Distributed generations have become an important part of electrical generation in many countries and its importance is continuing to increase. The exact models of distributed generations are important for load flow program, stability analyses and other applies in distribution systems. But the absence of basic data results in the difficulty of modeling for distributed generator. Based on the knowledge representation of cloud theory, a combination cloud generator is put forward, which combines forward cloud generator and backward cloud generator to a close-loop structure for solving the DGS origin data shortage. Considering of the DGS data characteristic, the restriction equations and system data complement unit are joined to combination cloud generator, which ensure that the created DGS data cover most of the system situation without impossible data. The characters of distributed generator of power system are considered. The influence factors and the manners of incorporating in power network for distributed generator are analyzed in principle. The multifarious distributed power supplies are modeled by T-S fuzzy identification method. A uniform fuzzy model for distributed power supply can be obtained. Then the fuzzy modeling device is invented and applied in Chinapsilas Tibet Xigaze power system. The identification result implies the effectiveness and usefulness of the approach.