Micro-grid system capacity optimal configuration method based on fan-shaped radar map model

Abstract

The invention discloses a micro-grid system capacity optimal configuration method based on a fan-shaped radar map model. The method comprises the following steps: firstly, selecting a load power lossrate, an annual cost, a renewable energy power generation loss rate and an energy excess rate as evaluation indexes in four aspects of microgrid system power supply stability, economy, a new energy consumption condition and an energy utilization rate, establishing a fan-shaped radar map model, and setting the area of a fan-shaped radar map as an objective function; taking the maximum area of the fan-shaped radar map as a target, obeying constraint conditions, and establishing an optimization mathematical model of micro-grid system capacity configuration; finally, a genetic algorithm based on aload tracking management strategy is adopted; solving an optimal configuration scheme of the micro-grid system capacity; the correctness and feasibility of the optimization method are verified through actual examples, the optimization configuration scheme can meet the stable operation target of the microgrid system composed of various new energy modules and energy storage devices, and economic operation of the microgrid system and efficient utilization of renewable energy sources are facilitated.

Description

technical field [0001] The invention belongs to the technical field of energy supply, and in particular relates to a microgrid system capacity optimization configuration method based on a fan-shaped radar graph model. Background technique [0002] At present, many islands in our country and some remote areas in the west have difficulty in using electricity due to various reasons such as being far away 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 power supply problem in islands and remote areas, it has become a research hotspot in the field of energy supply at this stage; The advanced technology of energy distributed power generation and energy storage constitutes a power supply system integrating source, network, load and storage, which can realize the full consumption of distributed renewable energy and the sup...

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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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