Alternate iterative optimization scheduling method based on non-convex output characteristic of cogeneration unit

Abstract

The invention discloses an alternate iterative optimization scheduling method based on the non-convex output characteristic of a cogeneration unit. The method comprises the steps: dividing the non-convex output region of each cogeneration unit into a plurality of subregions, converting the segmented constraint of each subregion into the continuous linear constraint, and building an active power economic scheduling model for the non-convex output characteristic of the cogeneration unit; simplifying the above model into an optimized scheduling model of one cogeneration unit, and performing the further decomposition to form a thermal supply optimized scheduling submodel and an active power optimized power scheduling submodel, and respectively employing a hybrid integer secondary planning algorithm and a secondary planning algorithm for solving; employing an alternate iteration method for iterative optimization, and controlling the cogeneration unit to work according to an optimization result, so as to enable the active power economic scheduling of the cogeneration unit to be optimal. The method is suitable for the non-convex output region of the cogeneration unit, and can achieve thereal-time online scheduling of the cogeneration unit.

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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