Method for increasing net power of power plant based on operation optimization of circulating cooling water system

Huijie Wang, Baoyun Qiu, Fangling Zhao and Tianxu Yan

Energy, 2023, vol. 282, issue C

Abstract: Due to the low power generation performance caused by the unreasonable regulation of the circulating cooling water system (CCWS), a method for increasing the net power of a thermal power plant by optimizing the CCWS operation points was proposed. First, an iterative solver was developed to calculate the stable heat transfer parameters of water circulation processes. Then, the net power model of power plants was established according to the relationship between the CCWS operating points and steam turbine power. Considering the constraints of water flow and the number of pumps in operation, an optimization model with the objective of maximum net power was established. A joint program for solving the objective considering environmental parameters was developed based on artificial neural networks and a hybrid improved particle swarm algorithm. The joint solver could obtain the stable operating temperature of cooling water, the optimal operating point of CCWSs, and the maximum net power of power plants. In addition, the influence of steam load and environmental parameters on optimal solutions was summarized. After executing the operation optimization for a CCWS, the results showed that the net power of typical operating conditions in different seasons increased by 35.85–1423.64 kW, indicating a remarkable effect.

Keywords: Thermal power plant; Net power; Circulating cooling water system; Operation optimization; ANN algorithm; SA-IPSO algorithm (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:282:y:2023:i:c:s0360544223017863

DOI: 10.1016/j.energy.2023.128392

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