Abstract:
The reliability assessment of generation systems nowadays has drawn prime interest in the
area of power system planning, designing and evaluation of reliability. As the demand of the
modem society is to have electrical energy as economically as possi15le with a specified
degree of reliability, therefore, there is a significant need to assess the reliability of
generation systems. There are two basic techniques available in the literature for reliability
evaluation of generation systems: the analytical approach and the simulation approach. Most
of the techniques available in the literature for assessing the reliability of generation systems
are based on analytical methods. The simulation approach estimates reliability indices by
simulating the actual behaviour of the system.
A new methodology has been developed in this thesis for inclusion of multi-state failures of
generating units in sequential Monte Carlo simulation procedures. The developed approach
for accommodating multi-state failures is first applied to solve the state space diagram of
such failures and the results are compared with those obtained by using analytical technique.
The results show very close comparison. Finally the new algorithm is included in sequential
Monte Carlo simulation procedures and applied to evaluate the IEEE-RTS with multi-state
generating units. The results are also compared with that obtained by using analytical
techniques. They compare favourably indicating the effectiveness of the new approach.
