Along with the load demands rise and the electrical power be more far away from the load center, the power system is developing in the direction of long distance, great capacitance and extra-high voltage. At the same time, the introduction of power market brings us new pressure of economy and environment protection. As a result, the power system has to operate almost at its capacity limits. On this condition, to get exact transient stability limit is quite important for power system's safety and economic operation. However, the traditional calculation theories don't take static variable restrictions into account. So the transient stability limit may be not exact because of the variation of static variables from their standard values.The thesis presents a new method to calculate transient stability limit, describing the calculation problem as a best parameters selection problem, with an object of largest transport power on transmit lines and constrains of static variables and transient stability. It also apply an evolutionary algorithm 鈥?Particle Swarm Optimization ( PSO ) on the problem.The result of New England 39-nodes computation shows that the method and the algorithm can lead to exacter results. |