Optimization of circulating water system based on LSSVM and SA-BBO algorithms
Zhang Lei1, Wei Long1, Ye Yalan2, Qiao Zongliang3, Xu Zhigao3
1.Department of Mechanical Technology, Nanjing College of Chemical Technology, Nanjing, Jiangsu 210048, China; 2.Department of Marine Engineering, Jiangsu Maritime Institute, Nanjing, Jiangsu 211170, China; 3.Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education, Southeast University, Nanjing, Jiangsu 210096, China
Abstract:The optimization of circulating water system in a thermal power plant holds a great significance for determining the optimum vacuum degree of a condenser and improving total efficiency of the plant to save energy. Therefore, a prediction model for steam turbine output power is established based on least squares support vector machine(LSSVM)by considering the circulating water system of two 600 MW steam turbine units in a particular thermal power plant. There is no local minimum in the model and excellent prediction results can be achieved for a variety of problems. Then, an optimization model for the vacuum degree in the condenser is developed based on maximization of the profit by ta-king circulating pump shaft power, turbine power increment, the price difference of coal and electricity on the market into account. Initially, the recorded operational parameters of the plant over a period of time are input into the model, a data pre-processing is conducted on the parameters and their stability is identified. Then the vacuum degree is optimized by means of the simulated annealing and biogeography-based optimization algorithms(SA-BBO)to obtain the optimum vacuum degree, best combination of the operational parameters of the condenser and circulating pump under various operating conditions. The optimized results have been made into an optimized combinations chart to guide the operation and regulation of steam turbines.
张蕾, 魏龙, 叶亚兰, 乔宗良, 徐治皋. 基于LSSVM和SA-BBO算法的循环水系统优化[J]. 排灌机械工程学报, 2014, 32(5): 410-415.
Zhang Lei, Wei Long, Ye Yalan, Qiao Zongliang, Xu Zhigao. Optimization of circulating water system based on LSSVM and SA-BBO algorithms. Journal of Drainage and Irrigation Machinery Engin, 2014, 32(5): 410-415.
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