Blackout risk prevention in a smart grid based flexible optimal strategy using Grey WolÊpattern search algorithms

Abstract

Developing a flexible and reliable power system planning strategy under critical situations is of great importance to experts and industrials to minimize the probability ofblackouts occurrence. This paper introduces the first stage ofthis practical strategy by the application ofGrey WolfOptimizer coordinated with pattern search algorithm for solving the security smart grid power system management under critical siluations. The main objective ofthis proposed planning strategy is to prevent the practical power system against blackout due to the apparition offaults in generating units or important transmission lines. At the first stage the system is pushed to ils margin stability limit, the criticat loads shedding are selected using voltage stability index. In the second stage the generator control variables, the reactive power of shunt and dynamic compensators are adjusted in coordinalion with minimization the active and reactive power ât critical loads 1o maintain the system at security state to ensure service continuity. The feasibility and efficiency ofthe proposed strategy is applied to rFpe 30-Bus test syslem. Results are promising and prove the practical efficiency ofthe proposed strategy 1o ensure system security under critical situations