Research For Dynamic Active Power Optimization With Classical Methods In Power Systems

The objective of this work is to develop a comprehensive formulation and an efficient solution algorithm for the dynamic active power optimization problem in Power Dispatch which takes into account the detailed and extensive modeling necessary for use in power flow analysis of real power system. The content relate to the aspect of electric power systems, power-flow calculation, incremental transmission losses, dynamic active optimization dispatch. Active power optimization is one of the economical operations of power system, it is very important for ensuring voltage quality, security and economic of power system.This work has focus attention to the following points: comprehensive analysis and research for the dynamic optimization dispatch theory and algorithms; proposing a dynamic analyzing method via static optimization strategy the load-curve pre-analysis process, back-navigation-constraint treatment; proposing the look-ahead-constraint in classical methods form. By studying the look-ahead-constraint of dynamic optimal dispatch, this thesis gives the concept of response capacity to the increase of load. Moreover, in accordance with the very special stages, an approach using back-navigation-constraint in load curve pre-analysis is presented. A complete dynamic active power dispatch model, calculation steps and flowchart which are recommended by their rapid computation, less memory requirements and higher computational accuracy are detailed in this work. The outcome can be regarded as the basis for the programming and the management of the power systems.