Flexible Load-Driven Multi-Objective Cooperative Scheduling Framework for Distribution Networks

Traditional load management methods have become inadequate to cope with the complex and ever-changing load demands in modern power grids. To address these challenges, this paper proposes a flexible load integration multiobjective optimization scheduling method based on distributed networks. The research method in this paper first centrally controls flexible loads through distributed networks, utilizing advanced communication technologies and intelligent control strategies to achieve precise regulation of various load resources. The multiple controllable loads are classified and modeled according to the power physical characteristics of adjustable load resources, to fully exploit their regulation potential. By establishing a multi-objective optimization model and comprehensively considering multiple objectives of grid operation, this paper proposes a scheduling idea based on chance-constrained programming. This method can solve for the optimal load scheduling scheme through optimization algorithms under the premise of meeting the operational constraints of the power grid, thereby ensuring the user's power consumption experience.