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建立了蒸汽动力系统设计与运行同步优化的混合整数非线性规划模型(MINLP).作者考虑了设备投资计算模型的非线性因素和各周期之间设备的启停费用.模型包含表征设备设计、运行以及启停状态约束的二元离散变量,属于大型复杂的多周期MINLP问题,应用传统的求解方法很难有效求解.作者在传统的遗传算法(GA)基础上,开发了改进的遗传算法(IGA)求解该大型MINLP问题.通过实际算例应用表明,应用本文建立的MINLP模型和IGA求解方法,能够保证在有效的时间内得到问题最设计方案和全周期内最优运行方案,同时同传统优化计算工具计算方案对比,节约了大量的投资和运行费用.
A mixed integer nonlinear programming model (MINLP) is established for simultaneous optimization of steam power system design and operation. The author considers the non-linear factors of equipment investment calculation model and the start-stop costs of equipment during each cycle. The model includes characterization equipment design, As well as the binary discrete variables constrained by the start-stop state are large and complex multi-cycle MINLP problems, which are difficult to be solved effectively by the traditional solving methods.On the basis of the traditional genetic algorithm (GA), an improved genetic algorithm (IGA ) To solve this large MINLP problem.According to the actual example application, the MINLP model and the IGA solving method established in this paper can be used to ensure that the optimal solution of the problem and the optimal operation plan in the whole cycle can be obtained in an effective time, Comparison of calculation tools calculation program, saving a lot of investment and operating costs.