Optimal configuration method for micro grid

Abstract

The invention relates to an optimal configuration method for a micro grid, which comprises the following steps: S1, acquiring the topological structure, basic parameters and power generation data of amicro grid; S2, constructing the actual unbalanced power between the output of renewable energy and the load; S3, establishing a water / wind / diesel micro grid double-layer optimal configuration model,wherein the model includes inner and outer optimization models, the outer layer is a multi-objective optimized micro power configuration model, and the inner layer is a micro grid operation model considering uncertainty; S4, transforming a constraint with random variables into a deterministic model; S5, combining an elitist strategy-based non-dominated sorting genetic algorithm and a mixed integer linear programming (ILP) algorithm to solve the double-layer optimal configuration model; and S6, selecting a most satisfactory configuration scheme from a Pareto solution set by using a TOPSIS method. The method of the invention not only improves the robustness of the micro grid, but also ensures the reliability and economy of the configuration scheme and provides technical support for the micro grid planning work.

Description

technical field [0001] The present invention relates to the technical field of optimal configuration of micro-grids, and more specifically, to a method for optimal configuration of micro-grids. Background technique [0002] With the rapid development of the economy, the demand for electricity continues to increase, fossil energy is gradually exhausted, and environmental pollution is becoming more and more serious. Making full use of renewable clean energy and promoting low-carbon electricity is an important development trend of the power industry. Due to its flexible access to distributed power sources such as wind turbines and small hydropower, microgrids have received extensive attention and applications. The optimal configuration of power capacity is the basis of microgrid planning, which affects the economy and reliability of microgrid operation. On the one hand, the optimal allocation of microgrid power supply capacity and its operation mode have a strong coupling; Ra...

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Problems solved by technology

However, both scenario analysis and stochastic programming rely on probability curves, so the fitting of the probability model may be inaccurate and cannot reflect the actual application scenario

In engineering practice, it is difficult to obtain a large number of sample points to accurately describe the probability model

In addition, for the uncertainty of the microgrid, it is usually solved by relying on the absorptive capacity of the distribution network, which may cause various operational problems of the distribution network, such as power quality, overload of lines and transformers, etc.; making the configuration of the microgrid Reliability and economy are not guaranteed

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