Analysis Of The Interaction Of Upfc Controller Coordination Of Design,

With the development of the electric power system and the increasing requirement of the operation in power system, the technique of Flexible AC Transmission System (FACTS) has been widely applied. The Unified Power Flow Controller (UPFC) is a new kind of FACTS which is implemented by multiple control functions. However, the interaction between UPFC is emerging and may impose negative influence on power system operation and control. So there are many problems to be explored thoroughly, the dissertation consists of four main parts as follows:Firstly, this dissertation summarizes the basic frame of the FACTS's characteristic, modeling and control. In addition, several interaction analysis methods and coordination controller design methods are also introduced in this part.Secondly, a method of interaction analysis is introduced, which uses the Singular Value Decomposition (SVD) theory and presents a criterion for assessing the interaction, and tests a single machine infinite bus (SMIB) power system with UPFC.Thirdly, outlines the functional operations and control strategy of UPFC and a mathematical model included UPFC in multi-machine power system is derived. Summarizes the ordinary methods for assessing the locations of FACTS device, and SVD theory is proposed to assess the interaction between UPFC which is installed with New England test power system (NETPS). The detailed simulation results accord with the analysis results by SVD methods, which demonstrated the proposed method can quantify the interaction and indicate the best placement for devices to weaken the influence of interaction.Fourthly, a novelty multi-objective particle swarm optimization (MOPSO) based approach is developed to solve the coordination design problem of UPFC by optimizing UPFC controller parameters. The paper presents the theory and the process of MOPSO, and compares MOPSO with Multi-objective evolutionary algorithm (MOEA), simulation results show that the proposed MOPSO method is capable ofobtaining high quality solution, stable convergence characteristic and good computation efficiency. At last, time-domain results show the effectiveness of the proposed coordinated controllers.