Micro-grid planning and capacity allocation method based on multi-objective optimization

Abstract

The invention discloses a micro-grid planning and capacity allocation method based on multi-objective optimization. The method is characterized in that the method comprises the steps of (1) setting the operation mode of a micro-grid, wherein the operation mode of the micro-grid comprises an independent mode and a grid-connected mode; (2) inputting basic data which comprise the system condition, electrovalence parameters, load parameters, photovoltaic parameters, wind electricity parameters and storage battery parameters; (3) pre-processing the basic data; (4) optimizing a distributed power supply and an energy storage system. According to the micro-grid planning and capacity allocation method, distributed power supply capacity and energy storage system capacity in micro-grid planning can be solved jointly, and optimizing allocation can be carried out at the same time.

Description

technical field [0001] The invention relates to a micro-grid planning and capacity configuration method, belonging to the technical field of micro-grids. Background technique [0002] The proposal of microgrid technology is closely related to the application and development of Distributed Generation (DG) technology. Compared with traditional power sources that rely on long-distance power transmission and distribution, distributed generation technology has diversified energy forms and high energy utilization efficiency. And environmental friendliness and many other advantages. The flexible and decentralized installation location of the distributed generation system perfectly adapts to the decentralized power demand and resource distribution, delaying the huge investment required for the upgrade of the transmission and distribution network. Reliability is improved, effectively solving many potential problems of large centralized grids. However, there are still many problems ...

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Problems solved by technology

Therefore, taking distributed power generation capacity optimization and energy storage system capacity optimization as two independent optimization calculation processes may lead to calculation results that are not the optimal solution.

[0009] (2) Most of the existing microgrid planning and capacity allocation methods are aimed at independent microgrids, and there are few studies on grid-connected microgrids. In the few literatures on grid-connected microgrids, the impact of external large grids on microgrids is not considered. Acceptance capacity of distributed power generation capacity in power grid

Therefore, it is limited to a certain extent

[0014] (4) The existing research on microgrid planning and capacity allocation methods focuses on algorithm and theory research, which is difficult to be directly applied to engineering practice

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