Operation planning of district heating and cooling plants through genetic algorithms for nonlinear 0–1 programming
Operation planning of district heating and cooling plants through genetic algorithms for nonlinear 0–1 programming
复制标题
通过遗传算法进行非线性 0-1 规划的区域供热和制冷工厂运行规划
DOI：
10.1016/s0898-1221(01)00246-2
复制
发表时间：
2001
影响因子：
2.9
通讯作者：
S. Ushiro
中科院分区：
文献类型：
--
作者：
M. Sakawa;Kosuke Kato;S. Ushiro
近年来，随着区域供冷供热系统冷负荷预测方法的发展，区域供冷供热系统的运行规划已引起人们的关注。在本文中，我们制定了一个区域供热和供冷厂的运行计划问题作为一个非线性0-1规划问题。考虑到目前还没有一种有效的精确求解方法，且该问题涉及数百个变量，我们提出了一种基于遗传算法的非线性0-1规划问题的近似求解方法。此外，我们调查所提出的方法的可行性和有效性的实际区域供热和供冷厂的运行规划问题。
In recent years, the operation planning of district heating and cooling plants has been arousing interest as a result of development of cooling load prediction methods for district heating and cooling systems. In this paper, we formulate an operation planning problem of a district heating and cooling plant as a nonlinear 0–1 programming problem. Realizing that there does not exist an efficient exact solution method and the problem involves hundreds of variables, we propose an approximate solution method using genetic algorithms for the formulated nonlinear 0–1 programming problem. Furthermore, we investigate the feasibility and effectiveness of the proposed method for an operation planning problem of an actual district heating and cooling plant.