An integrated energy service provider cloud collaborative-edge collaborative optimal scheduling method

Abstract

The invention discloses a comprehensive energy service provider cloud-edge collaborative optimization scheduling method, the method includes: establishing a micro-grid cluster integrated energy service provider cloud-edge collaborative optimization scheduling model, and the upper layer is a micro-grid cluster integrated energy service provider cloud Collaboration center, the lower layer is the edge collaboration center of each micro-grid; the upper-layer cluster cloud collaboration center comprehensively considers the revenue entropy constraints and optimizes the calculation of the micro-grid cluster’s user-oriented electricity sales and heat sales power as decision variables according to global goals, and transmits them to the lower micro-grids. Network edge coordination center; the lower micro-grid edge coordination center makes corrections to the power generation and calorific value of the micro-energy according to its own local goals; and then transmits it to the upper-level cluster cloud coordination center; iteratively corrects and iterates until a satisfactory coordination between the upper and lower layers is achieved untie. The invention adapts to the fully distributed optimization characteristics of micro-grid cluster integrated energy service providers, and can realize cloud-edge collaborative operation between multiple micro-grids.

Description

technical field [0001] The present invention relates to the technical field of electric power optimization dispatching, in particular to a comprehensive energy service provider cloud collaborative-edge collaborative optimal dispatching method considering revenue entropy. Background technique [0002] The continuously tense energy situation in the world has promoted the adjustment and development of the energy industry structure. The multi-optimization and hierarchical control operation mechanism of the Energy Internet based on the multi-energy coupling principle has become the focus of research to realize the diversification of distributed energy forms. The microgrid connects distributed energy resources with relatively concentrated geographic locations into a small energy Internet, which provides an effective method for coordinated control of large-scale distributed energy resources. [0003] With the large-scale access of distributed energy, in order to give full play to ...

AI Technical Summary

Problems solved by technology

At the same time, compared with traditional power dispatching, microgrid cluster dispatching has the characteristics of diverse energy forms and multi-level dispatching, and the traditional power dispatching structure is not suitable for microgrid cluster dispatching.

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