The coordinated load scheduling problem in residential sector based on an independent method of dynamic pricing schemes is addressed in this chapter. For this purpose, a collective energy consumption scheduling (CECS) algorithm using combination of energy consumption plans under a bi-level game theory method is proposed. First, a local level collects data from individual users and focuses on the reduction of selfish load demand. Then, an external demand management system is designed. It is focused on modeling a coalition between the local load management modules, as well as giving the redistributed demand profiles to maximize the global profit through a peak load minimization, financial gain and peak-to-average ratio reduction. The proposed CECS algorithm considers a non-static load management strategy for the flexibility of consumer requirement. Consequently, users are permitted to change their daily power demand patterns depending on their requirements, needs, and preferences.