Inherent operational flexibility evaluation method for thermal power plants considering discrete output characteristics

Abstract

The invention discloses a method for evaluating the inherent operational flexibility of a thermal power group taking into account discrete output characteristics, and belongs to the technical field of power generation. In the present invention, based on the flexible adjustment characteristics of a single unit, discrete combination analysis is performed on a cluster composed of multiple units to obtain flexible adjustment parameters at the cluster level. Secondly, due to the discrete nature of the start-up state, the output range of the fleet is also discrete. Based on this discrete output feature, an evaluation index reflecting the inherent operational flexibility of the fleet at different time scales is proposed, and the method of classification and aggregation of the minimum start-stop time of the unit is used to reduce the model solution. The amount of calculation is formed to form a four-stage index solution method of "aggregation-segmentation-cross-evaluation". Finally, the validity and correctness of the model are verified by numerical examples, and the sensitivity analysis of the proposed evaluation method is carried out. The results show that the inherent operational flexibility of the thermal power group is closely related to its own discrete output characteristics and load intervals.

Description

technical field [0001] The invention relates to a method for evaluating the inherent operational flexibility of a thermal power group taking into account discrete output characteristics, and belongs to the technical field of power generation. Background technique [0002] Large-scale variable renewable energy (VRE) grid-connected power generation represented by wind power and photovoltaics is accelerating the low-carbon transformation of the energy structure. With the explosive growth of VRE, the demand for system flexibility has been greatly intensified, which has led to large-scale abandonment of wind and light in systems in the transformation stage, which seriously hinders the process of low carbonization. [0003] One of the reasons for this problem is that the traditional long-term planning model aims to optimize the economic cost, and assumes that as long as the power demand in the peak load period is met, the demand in other periods can also be met, that is, only the ...

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Problems solved by technology

[0005] However, most of the above-mentioned literatures focus on the flexibility of the system in a specific operating mode or market environment, and do not reveal the inherent operational flexibility of the entire fleet based on the technical parameters of the unit itself. It is difficult to answer the existing fire How flexible is the motor group itself, and how can the unit combination model of the system be solved more easily?

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