A Method for Optimal Configuration of Microgrid System Capacity Based on Sector Radar Model

Abstract

The invention discloses a microgrid system capacity optimization configuration method based on a fan-shaped radar graph model. Firstly, the load loss rate, annualized cost, renewable energy generation loss rate and energy surplus rate are respectively selected as the power supply stability of the microgrid system. , economy, new energy consumption, and energy utilization, establish a fan-shaped radar map model, and set the area of ​​the fan-shaped radar map as the objective function; then take the maximum area of ​​the fan-shaped radar map as the goal and obey the constraints Conditions, establish an optimized mathematical model for the capacity allocation of the microgrid system; finally, use the genetic algorithm based on the load tracking management strategy to solve the optimal allocation scheme for the capacity of the microgrid system, and verify the correctness and reliability of the optimization method through practical examples. Feasibility, the optimized configuration scheme can meet the stable operation target of the micro-grid system composed of various new energy modules and energy storage devices, and is conducive to the economic operation of the micro-grid system itself and the efficient utilization of renewable energy.

Description

technical field [0001] The invention belongs to the technical field of energy supply, and in particular relates to a capacity optimization configuration method of a microgrid system based on a fan-shaped radar chart model. Background technique [0002] At present, many islands in my country and some remote areas in the west have difficulty in power supply due to various reasons such as being far from the mainland, harsh natural environment, and scattered residents; Transmission and other methods are not applicable to such areas. Based on the development and utilization of renewable energy to solve the problem of power supply in islands and remote areas, it has become a research hotspot in the field of energy supply at this stage; therefore, the micro-grid system came into being. The advanced technology of distributed energy generation and energy storage constitutes a power supply system integrating source, grid, load and storage, which can fully absorb distributed renewable ...

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Problems solved by technology

[0005] The optimal configuration method with two conditions of economy and stability as the optimization objective has the advantages of high solution accuracy and fast convergence speed, but because the design of the optimization objective function is too simple, other important indicators such as the utilization rate of new energy are ignored, and the optimal configuration results It is often difficult to achieve the optimal system synthesis, and it is not easy to extend to other systems

In view of this problem, the current microgrid system is more concerned with multi-objective optimization problems when performing capacity optimization configurations. The existing multi-objective algorithms generally perform linear summation of multiple objectives or combine multiple objectives based on fuzzy membership functions. The problem is transformed into a nonlinear single-objective optimization problem; but in the two methods, the linear weighting coefficient depends on the empirical design with great uncertainty, and the selection of the fuzzy membership function is very complicated

[0006] The radar chart method is a typical evaluation method combining numerical graphics, which can be used to obtain a reasonable optimization objective function; however, in the traditional radar chart model, there is a problem of information sharing between optimization targets, and the The area and perimeter of the radar chart are different if the arrangement order is different, which may easily cause inconsistency in the optimization results and is difficult to apply directly

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