Alternative Iterative Optimal Scheduling Method Based on Non-Protruding Force Characteristics of Combined Heat and Power Units

Abstract

The invention discloses an alternate iterative optimization scheduling method based on the characteristics of non-protruding force of cogeneration units. The above method divides the non-protruding force area of ​​each cogeneration unit into a plurality of sub-regions, and divides the segmental constraints of each sub-region Convert it into a continuous linear constraint, and then establish the active power economic dispatch model of the non-salient force characteristics of the cogeneration unit, simplify the above model into an optimal dispatch model for a single cogeneration unit, and further decompose it into optimal dispatch of heat supply and optimization of active power The two sub-models of scheduling are solved by mixed integer quadratic programming algorithm and quadratic programming algorithm respectively, and at the same time, alternate iteration method is used for iterative optimization, and the work of combined heat and power units is controlled according to the optimization results to make the active economic scheduling optimal. This application It is suitable for the non-convex operating characteristic area of ​​cogeneration units, and can realize real-time online scheduling of cogeneration units.

Description

technical field [0001] The invention belongs to the technical field of thermoelectricity, and in particular relates to an alternate iterative optimal scheduling method based on the non-bulge force characteristics of a cogeneration unit. Background technique [0002] Combined heat and power units can not only meet the heat and power needs of users at the same time, but also have higher energy utilization efficiency than thermal power units. Therefore, combined heat and power units have been widely used in power systems, especially in North China, The Northeast and Northwest "Three North" regions are developing rapidly. Basically all large-scale thermal power units are cogeneration units. The requirements for fast scheduling of production are also getting higher and higher. [0003] The operating characteristic area of ​​cogeneration units includes both convex operating characteristic area and a large number of non-convex operating characteristic areas, while the widely used ...

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Problems solved by technology

[0003] The operating characteristic area of ​​cogeneration units includes both convex operating characteristic areas and a large number of non-convex operating characteristic areas, while the widely used optimal scheduling methods and commercial production optimization software packages can only be optimized for convex operating characteristic areas. It cannot be applied to the characteristics of the non-convex and nonlinear coupling relationship between the heating output and power generation output of cogeneration units, which brings great challenges to the existing active power economic dispatch model

[0004] At present, there is no effective method to deal with this problem. Generally, artificial intelligence methods such as genetic methods have the following defects: the calculation time is too long, the optimal result cannot be achieved, the calculation process is not reproducible, and cannot meet the actual scheduling application

[0005] To sum up, neither the existing optimal scheduling method nor the existing artificial intelligence method can fully apply to the characteristics of the non-convex and nonlinear coupling relationship between the heating output and power generation output of cogeneration units, and cannot satisfy the operating results. Stable and fast-response scheduling requirements

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