An extensive study of dynamic behavior of Iranian power network

Since phasor measurement units (PMUs) are being deployed in power systems, many different applications of such devices are being studied even before they are actually being employed. This paper documents an extensive study on dynamic behavior of the Iranian power system based on eigenvalue and participation factor analysis. The main problem with eigenvalue analysis is that because power systems are highly nonlinear, the result much depends on the operating conditions and the contingency. To overcome this shortcoming some have suggested complicated nonlinear theories, such as Lyapunov functions. Such approaches are not much applicable for such large scale systems. In this study first four different accurate models of the Iran power system, based on a particular loads and generations at four different seasons of 2009, have been developed. Then based on most recorded events, different scenarios are simulated in Iran Power systems and based on eigenvalue analysis the oscillatory modes have been identified. Then the generators which affect the dominant roots are determined by the summation of all the participation factors at different events and at the four models. Fine tuning of installed power system stabilizers of these generators shows a considerable improvement in dynamic behavior of the system at different operating conditions.