الفهرس | Only 14 pages are availabe for public view |
Abstract Development of reliability assessment techniques and programs is very important in power system planning and testing of existing power network configuration for detecting its weak points. The Development and utilization of a reliability program are greatly influenced by experience of a utility and the intent pf the system manager, planner and designer conducting the reliability studies. The reliability studies of bulk power system indicate the ability of the composite generation and transmission system to satisfy the load demand at the major load points. Considerable effort has been applied over the last two decades to develop techniques and criteria for adequacy evaluation of composite power system. A major burden in the developed methods used in evaluation of large composite system reliability is the computation time required to solve large number of credible contingencies of outage states. The use of historical data and heuristic methods are inadequate for determining how reliable a system is. They also poorly explain the characteristics of the system such as, age, location, climate, and exposure to trees. A fuzzy reasoning approach may better explain these factors than traditional methods because it does not rely on historical data which may not availability of system. power system reliability problem is a multi-objective problem. The evaluation of such problem is very complicated and required a large scale of time especially if we take into consideration of any constraints (i.e capacity constraints). Implementation of fuzzy concepts in evaluating the power system reliability is then introduced, the results this method are nearly the same as the exact results with negligible error, and the computational efforts and time will be very small compared with that of the traditional methods. The validation and efficiency of the proposed algorithm are realized through applications to IEEE 14-bus, IEEE 14-bus (RTS), and IEEE 30-bus systems. |