Stability Investigations in Power Systems With The National Grid of the Sudan as Special Case

Index:

4003

Year:

2003

Thesis Title:

Stability Investigations in Power Systems With The National Grid of the Sudan as Special Case

Student Name:

Kamal Ramadan Daod

Supervisor:

Dr. Abdel Rahman Ali Karrar

Department:

Electrical

Abstract

 

The Stability and control of electrical power systems represent the most serious problems, which may faced the expansion of power systems. The National Grid of the Sudan (N.G), which supply electricity to the Capital Khartoum and most of the center towns, has faced many problems of stability during its continuously expanding in size and complexity by adding new power station or new load. These problems have been complicated by a lack of real understanding of the systemís behavior. The National Electricity Corporation of Sudan has carried out many studies to estimate load forecasts for short and long term planning, and suggest reinforcements for the weakness points of the system. But still the problems of small signal stability of the N.G. remains especially as the demand increases continuously.

In this study the problem of the small signal stability is presented and discussed in details. Also, the study presents new techniques fort he evaluation and interpretation of eigen value sensitivity in the context of analysis and control of oscillatory stability in multi-machine power system. These techniques combine the numeric power of modal analysis of state-space models with the insight that can be obtained from transfer function.

Certain models and equations for power system elements in the area of steady state, transient and dynamic stability were presented and many computer programs were written to analysis and improve small signal stability for any power system and then applied to the N.G of the Sudan. These programs were efficient with straightforward formulation and less computer.

The study, also, give many suggestion to improve the stability of the N. G. covering the existing and forecasting loads and generations up to 2006.