Abstarct: Global blackouts have occurred a lot in the power system around the world in recent years. In this regard, the need for more efficient methods to avoid such disturbances is essential. In this thesis, a novel and efficient method for recovering the frequency of power systems considering the system stability during enormous disturbances in terms of urgent Demand Side Management is proposed. For this purpose, the Adaptive load shedding algorithm and the necessary Demand response algorithm have been combined as a new algorithm to achieve the power quality improvement of the power system besides its stability. Moreover, the proposed method has a valuable impact on the power system frequency recovery process utilizing presenting modules with different functions. The mentioned method put new steps in distinguishing the start time and type of the emergency situation using emergency indexes. So, instead of determining the specific frequency limit and frequency reduction, emergency indexes will be engaged. Another novelty is related to optimization of load and consumer's curtailment considering priorities which will increase the consumer's satisfaction and also the reliability increase of the power system. For evaluation of the proposed technique, the 39 bus New England standard case has been simulated in DIgSILENT software and the operation of the method has been tested in different power disturbing scenarios. The results show the advantage of the proposed method over previous ones in respect of optimized load curtailment with customer satisfaction, load shedding decrement, and reduction in the probability of power system collapse taking into consideration reducing the convergence time and minimizing the system frequency decline.