机电设备群控的分布式快速优化方法

Distributed fast optimization algorithm for group operation of mechanical equipments

公共建筑中广泛存在同类设备并联组成的设备组,设备群控对建筑机电系统的优化调节、节能降耗具有重要作用。现有研究和应用多依赖于专家经验或全工况优化搜索,前者缺乏系统优化决策过程,后者则需要详细的建模,并且计算量较大。在理论分析的基础上,提出一套快速搜索设备组最优启停策略的方法。该方法对机电设备物理建模要求较低,用于并行计算架构。详细介绍了该方法,并以某办公建筑的空调冷水泵组为例进行了测试。结果表明,该方法可用于实际工程的优化决策。

Parallel equipment group of the same or similar category is widely existed in mechanical and electrical systems in public buildings. For optimal operation and energy conservation of buildings, it is of significance to research the optimization of parallel equipment group. The existing researches and applications mainly depend on expert experiences and full condition optimal search techniques. The former is an incomplete decision method, and the latter needs detailed modeling with a large amount of calculation. Based on theoretical analysis, presents a fast and simple decision method to search the optimal startup and adjusting strategy for equipment group. The new method features much lower demand for equipment modeling and can be realized a distributed computing framework. Presents the method and performs a field test in a chilled water pump group of an office building. Both of the test and analysis results show that new algorithm has a good performance in group optimization decision in practical engineering projects.