基于群智能的集中供暖系统水力管网控制策略优化

针对集中供暖系统管网水力失衡、流量供需失衡问题提出一种基于群智能的新型分布式优化算法.首先以系统输配送能耗最小为优化目标,将其分解为管网调节阀开度优化和换热站并联水泵运行优化两个子问题求解;其次建立调节阀模型和管网水力模型,在此基础上进行调节阀开度的优化,从而计算出系统最小供回水压差;然后基于改进的交替方向乘子法完成并联水泵的优化运行;最后以集中供暖系统实例验证算法性能.实验结果表明:相比传统集中式求解算法,该算法不受水利管网规模限制,利于实现工程中即插即用;相比其他分布式算法,该算法不仅求解速度快,而且可以得到较优的管网运行策略,节能效果较为显著.

Optimization of hydraulic pipe network control strategy for central heating system based on insect intelligence

A distributed optimization method based on insect intelligence is developed to address the problem of hydraulic imbalance and flow supply and demand imbalance in the central heating system pipe network. The first goal of the optimization is to minimize the system''s energy consumption, which is broken down into two sub-problems: optimizing the opening degree of the pipe network''s regulating valve and optimizing the operation of the parallel pumps in the heat exchange station. Secondly, the model of the regulating valve and the hydraulic model of the pipe network are established. On this basis, the opening of the regulating valve is optimized, so as to calculate the minimum water pressure difference between the supply and return of the system. Then, the optimized operation of the parallel pumps is completed based on the improved alternating direction method of multipliers. After that, an example of central heating system is given to verify the performance of the proposed algorithm. Results show that compared with the traditional centralized solution algorithm, this algorithm is not limited by the scale of the hydraulic pipe network, and is beneficial to realize plug and play in engineering. Compared with other distributed algorithms, this algorithm can not only solve the problem quickly, but also obtain a better pipe network operation strategy, and has a significant energy saving effect.