Abstract
Based on the definition of relative entropy and the principle of minimum relative entropy, this paper takes the pressure of the node as the main research object and establishes an optimization model about the water pressure of the pipe network running in the water supply pump station. Then we apply genetic algorithm to solve our model and analyze the water pressure of the actual water supply pumping station in FS city. According to the model established in this paper, we can optimize the relevant decision variables in the water distribution network and provide a new method basis for the explicit pump scheduling.
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Shi, Z., Li, X., Zhang, C. (2020). Optimization Study on Outlet Pressure of Water Supply Pumping Station Based on Relative Entropy Theory. In: Liang, Q., Liu, X., Na, Z., Wang, W., Mu, J., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2018. Lecture Notes in Electrical Engineering, vol 516. Springer, Singapore. https://doi.org/10.1007/978-981-13-6504-1_63
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DOI: https://doi.org/10.1007/978-981-13-6504-1_63
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