Independent microgrid optimization configuration method based on combination of sequence operation and particle swarm algorithm

Abstract

The invention relates to an independent microgrid optimization configuration method based on combination of sequence operation and a particle swarm algorithm. The method comprises the steps that: a step of model establishment is carried out; to be specific, an optimized mathematic model is established, wherein an objective function of the optimized mathematic model is one with the minimum whole-month total cost of the overall microgrid and constraint conditions include an energy supply-demand balance constraint, a utilizability constraint of a distributed energy supply device, and a storage battery equipment constraint; and a step of model solving is carried out; to be specific, an input variable parameter value of the optimized mathematic model is obtained from a to-be-planned region historical meteorological database, the optimized mathematic model is solved by using a particle swarm algorithm combining a sequence operation theory to obtain output data of an optimized mathematic model decision-making variable, and optimal configuration numbers of fans, photovoltaic units, and storage batteries in the independent microgrid are obtained based on the output data of the decision-making variable. Compared with the prior art, the method provided by the invention has the following beneficial effect: a problem that the security and reliability of microgrid operation are affected because uncertain factors are not considered in existing methods can be solved.

Description

technical field [0001] The invention relates to the field of optimal planning and design of micro-grids, in particular to an independent micro-grid optimal configuration method combined with sequence operations and particle swarm algorithms. Background technique [0002] With the traditional energy crisis and environmental issues becoming tense, the development of renewable energy power generation (Renewable energy power, REP) technology has become an inevitable way to solve the problems caused by traditional energy. The micro-grid technology that effectively utilizes distributed renewable energy is an important form currently used, but the main characteristics of the randomness and intermittency of the output of distributed power generation such as wind and light directly bring the security and stability of the micro-grid operation. series of effects. [0003] According to the historical wind speed, light intensity and load data of the planned microgrid location, the syste...

AI Technical Summary

Problems solved by technology

The micro-grid technology that effectively utilizes distributed renewable energy is an important form currently used, but the main characteristics of the randomness and intermittency of the output of distributed power generation such as wind and light directly bring the security and stability of the micro-grid operation. series of influences

[0003] According to the historical wind speed, light intensity and load data of the planned microgrid location, the system is simulated and calculated to obtain the optimal target value in the whole life cycle of the system, but considering the randomness and intermittent nature of wind speed and light intensity, and the load also fluctuates These uncertain factors will make the existing optimal configuration methods unable to guarantee that the system can still operate in the best state under the actual operating state where the wind speed, light and load fluctuate to a certain extent, which will lead to the safety of the actual operation of the system. The level of sex and reliability is greatly affected

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