Evolutionary Programming (EP) based technique for secure point identification with load shedding technique in power transmission / Abdul Rahman Minhat

Voltage stability has been identified as a crucial issue in power system study which
has been identified as one of the causes that lead to cascading power system blackout
in many parts of the world. This phenomenon has made this subject a very relevant
issue in power system planning and operation.
This thesis presents the Evolutionary Programming (EP) based technique for secure
point identification with load shedding technique in power transmission system. The
study was initiated by the development of new algorithm for automatic voltage
stability assessment (AVSA). This algorithm is used to estimate the maximum
loadability point in power system. Consequently, another algorithm for maximum
loadability identification using EP optimization technique was also developed.
Several load buses have undergone maximum loadability tests for the determination
of secure point prior to system instability occurrence, which may lead to possibility
of voltage collapse in the system. In highlighting the merit of the proposed EP based
technique for maximum loadability identification, established artificial immune
system (AIS) optimization technique and AVSA were utilized for comparative
studies purposes. The strength of EP in this study was evaluated in terms of its
capability to search for the accurate solution and fast computation time.
Consequently, the algorithm for load increase simultaneously at several load buses
was also developed in order to search the optimal value at each bus in a system such
that the system can maintain a stable condition. The ability of EP to search for the
optimal values of multi-load increase as compared to AVSA which is only able to
conduct uniform load increase at several load buses has been identified as the
strength of EP over AVSA.