A multi-objective synergistic regulation method and system based on dynamic electric carbon factor

Abstract

The application discloses a kind of multi-objective collaborative regulation method and system based on dynamic electric carbon factor, belong to power system dispatching and optimization control technical field, the method is: based on original predicted load sequence, time-of-use electricity price sequence and dynamic electric carbon factor sequence, constructs multi-objective collaborative optimization model;Based on nonlinear convergence factor, the multi-objective collaborative optimization model is iteratively solved, obtains several initial solutions;If any initial solution does not satisfy the constraint requirement, then the initial solution is modified until all initial solutions satisfy the constraint requirement, obtain the Pareto optimal solution set;Based on multi-criteria decision, compromise scheduling scheme that satisfies preset score requirement is selected from the Pareto optimal solution set, complete electric carbon collaborative regulation.Therefore, by implementing the application, the dynamic electric carbon factor sensing mechanism is introduced to deeply couple electric carbon information, and the nonlinear convergence factor adjustment strategy is used to fully consider the global exploration ability in the face of multi-objective conflict, to improve the reliability of electric carbon regulation of power system.

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