Layered optimization method of regional distribution network comprising micro-grid

Abstract

The invention relates to an optimization method in the field of power system automation, in particular to a layered optimization method of a regional distribution network comprising a micro-grid. The method includes the following steps: (1) building a micro-grid and distribution network combined dispatching model; (2) building an efficiency-maximizing secondary dispatching model of the micro-grid; (3) optimizing the two dispatching models. According to the method, the micro-grid is taken as a controllable unit capable of dispatching independently; through coordinated dispatching of a controllable distributed power supply on the distribution network side, the micro-grid and the distribution network and bi-layer dispatching control of economic dispatch of distributed energy resources inside the micro-grid, the distributed energy resources are used in a maximized manner internally, the regional distribution network power supply and loads are dispatched optimally externally, and acceptance capability of the distraction network to the distributed power supply can be effectively improved.

Description

technical field [0001] The invention relates to an optimization method in the field of electric power system automation, in particular to a layered optimization method for a regional distribution network including a microgrid. Background technique [0002] (1) Microgrid technology [0003] Microgrid refers to a small power generation and distribution system composed of distributed power sources, energy storage devices, energy conversion devices, related loads and monitoring and protection devices. The power sources in the microgrid are mostly distributed power sources with small capacity, that is, small units with power electronic interfaces, including micro gas turbines, fuel cells, photovoltaic cells, small wind turbines, and energy storage devices such as supercapacitors, flywheels, and batteries. They are connected to the user side and have the characteristics of low cost, low voltage and little pollution. [0004] The application of microgrid technology eliminates the...

AI Technical Summary

Problems solved by technology

[0024] The existing micro-grid optimization scheduling technology mainly considers the resource allocation in the micro-grid, without combining the resources related to the distribution network, it is impossible to realize the flexible interaction between the micro-grid and the distribution network, and between the micro-grid and the micro-grid, and the global optimality of the system cannot be guaranteed; In terms of optimization algorithms, the NSAGII algorithm overcomes the weight selection problem caused by the traditional single-objective weighted combination method in the processing of multi-objective optimization problems, and this problem will directly affect the validity of the conclusions of traditional optimization algorithms.

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