Heat supply scheduling optimization method based on spider swarm intelligence algorithm

Abstract

The invention discloses a heat supply scheduling optimization method based on a spider swarm intelligence algorithm, which comprises the following steps of: 1, performing mathematical description on amulti-constraint heat supply scheduling optimization problem, constructing an optimization objective function of the problem from an entity perspective, and constructing a limiting condition according to constraints; 2, searching an optimal solution of the current index for each secondary heat supply evaluation index in the limiting condition in the step 1 by using a spider swarm optimization algorithm, and outputting an optimal solution set formed by all the indexes; and 3, substituting the optimal solution set into the limiting condition and the target function, judging whether the optimalsolution set conforms to the optimized target function or not, and otherwise, continuing to execute the step 2. According to the heat supply scheduling optimization method based on the spider swarm intelligence algorithm, heuristic optimization rules are designed, heat supply operation scheduling strategies for different heat supply entities are guided to be formulated, and the reasonability and accuracy of heat supply scheduling are improved.

Description

technical field [0001] The invention relates to the field of heat supply scheduling, in particular to a heat supply scheduling optimization method. Background technique [0002] The heat supply in our country started from the scattered small boiler rooms operated manually. With the advancement of technology, the heating scale is gradually expanding, and the automation level of the heating system is gradually improving. Today, various forms of heat sources have coexisted, and some heating systems have realized informatization. The goal of intelligent system and intelligent heating operation management is advancing. At present, the operation scheduling of some traditional heating enterprises still schedules heat sources, heating pipe networks, heat stations and heat user systems based on the experience of operators. The relationship between supply and demand of heat cannot be accurately grasped, resulting in energy waste. Contents of the invention [0003] The present inve...

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Problems solved by technology

At present, the operation scheduling of some traditional heating enterprises is still based on the experience of operators to schedule heat sources, heating pipe networks, heat stations and heat user systems. The relationship between supply and demand of heat cannot be accurately grasped, resulting in energy waste.

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