Synthesis and optimization of utility system using parameter adaptive differential evolution algorithm

Synthesis and optimization of utility system usually involve grassroots design, retrofitting and operation optimization, which should be considered in modeling process. This paper presents a general method for synthesis and optimization of a utility system. In this method, superstructure based mathematical model is established, in which different modeling methods are chosen based on the application. A binary code based parameter adaptive differential evolution algorithm is used to obtain the optimal con figuration and operation conditions of the system. The evolution algorithm and models are interactively used in the calculation, which ensures the feasibility of con figuration and improves computational ef ficiency. The capability and effectiveness of the proposed approach are demonstrated by three typical case studies.

过程全局夹点分析与超结构MINLP相结合的能量集成最优综合法

提出了过程全局夹点分析与超结构混合整数非线性规划 (MINLP)相结合的能量集成最优综合法 .各单过程内部换热优化匹配后 ,进行各过程剩余冷、热负荷与公用工程系统的全局夹点分析 ,确定全局热集成目标 ,在此基础上建立包含过程剩余热负荷产生各等级蒸汽、剩余冷负荷使用各等级蒸汽加热的各种可能匹配方案的公用工程换热网络超结构及其MINLP模型 ,采用混合连续进化算法求解得到过程与公用工程换热网络最优改造方案 .大型乙烯装置能量集成应用算例表明 。

基于管网模拟的蒸汽动力系统多周期运行优化

分析了管网输送过程中蒸汽参数变化对工艺过程和蒸汽动力系统运行的影响。为了消除这些影响,提出了与管网模拟相集成的蒸汽动力系统优化运行策略,并且建立了考虑蒸汽输送损失的混合整数非线性规划(MINLP)模型。针对大规模MINLP模型求解困难的问题,开发了分解迭代的算法,将建立的模型系统分解为优化运行子系统和管网模拟子系统,通过协调子系统之间的关系,迭代计算,直到求得满足误差条件的最优解。通过实例证明了提出的策略和算法能够在合理的时间内得到系统优化运行的最优解,既为企业节省了大量的资金,又为蒸汽动力系统和工艺系统的安全稳定运行提供了保障。