Multi-heat-source annular heat supply network hydraulic optimization scheduling method based on PSO algorithm

Abstract

The invention discloses a multi-heat-source annular heat supply network hydraulic optimization scheduling method based on a PSO algorithm. The method comprises the following steps: (1) determining user flow demands, the number of heat sources, inertia weights, self-learning factors, group learning factors, the number of group particles and iteration times z of each heating station according to actual conditions of a heat supply network; (2) setting the working condition k to be equal to 0 and setting an initial iteration value; (3) calculating the flow of each branch, the branch impedance of the heating station, the node pressure of the water supply pipe network and the node pressure of the water supply pipe network; (4) calculating the total power consumption of the circulating pump of the heat source, calculating to obtain an individual optimal value of the particles, and obtaining a global optimal value of the particles; and (5) when k is greater than or equal to z, outputting the globally optimal solution and the total power consumption of the circulating pump of the heat source corresponding to the globally optimal solution. On the premise of meeting the specific flow requirement of each heating station, the flow distribution of each heat source and the impedance of the primary side valve of the heating station are adjusted online in real time, and the optimization targetof the minimum total energy consumption of the circulating pump of all the heat sources is achieved.

Description

technical field [0001] The invention relates to central heating technology, in particular to a method for hydraulic optimization dispatching of multi-heat source annular heating network based on PSO algorithm. Background technique [0002] The multi-heat source annular heating network has flexible hydraulic conditions and strong reliability, can reduce the impact and loss caused by accidents, and can give full play to the economic benefits of each heat source. my country's central heating pipe network system has gradually formed a small-scale branch network. The development trend of the mesh network to the ring network with large-scale multi-heat source joint operation. For example, the multi-heat-source annular heating network in Shijiazhuang City has three heat sources responsible for the basic heat load, and one hot water boiler room for load peak regulation. The number of heat stations reaches 1,138, and the heating area exceeds 60 million square meters. [0003] However...

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Problems solved by technology

[0006] The present invention is a multi-heat source annular heating network hydraulic optimization scheduling method based on PSO algorithm, which can optimize the multi-heat source annular pipe network heat source water pump offline or in real time Flow distribution and thermal station branch impedance can solve the problem of hydraulic imbalance and transmission and distribution energy consumption optimization in the dispatching process of the multi-heat source ring heat network, so that when each heat station meets the demand, the hydraulic power of the multi-heat source ring heat network can be fully utilized Scheduling capability to achieve high efficiency and energy saving in heating network operation

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