• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Applied Energy >A real-time optimal control strategy for multi-zone VAV air-conditioning systems adopting a multi-agent based distributed optimization method
【24h】

A real-time optimal control strategy for multi-zone VAV air-conditioning systems adopting a multi-agent based distributed optimization method

机译：采用基于多功能代理的分布式优化方法的多区VAV空调系统实时最优控制策略

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相关主题

摘要

Determining the proper trade-off among thermal comfort, Indoor Air Quality (IAQ) and energy use is important for optimal control of air-conditioning systems. The number of optimization variables increases as systems become increasingly complex, as with multi-zone VAV (Variable Air Volume) air-conditioning systems, leading to large-scale mathematics programming challenges and inconveniences in the implementation of conventional centralized optimization strategies. This paper therefore proposes a real-time optimal control strategy adopting a multi-agent based distributed optimization method for multi-zone VAV air-conditioning systems. The proposed strategy consists of three novel schemes. First, a temperature set-point reset scheme adopts a linear rule to correlate the resetting of the temperature set-points in individual zones to simplify the optimization problem while applying proper optimization in individual zones. Second, a multi-objective optimization scheme optimizes the fresh air ratio of the supply air and the temperature set-point in the critical zone by formulating the multi objective optimization problem. Third, a multi-agent distributed optimization scheme is developed to solve the optimization problem in a distributed manner, facilitating the deployment of local control devices of limited capacity. A TRNSYS-MATLAB co-simulation testbed is constructed to test and validate the proposed strategy. Test results show that the strategy is effective in properly balancing thermal comfort, IAQ and energy use while largely reducing programming challenges. The distributed optimization method can provide almost the same optimal outputs as conventional centralized optimization methods.
机译：确定热舒适性，室内空气质量（IAQ）和能源使用之间的适当折衷对于对空调系统的最佳控制非常重要。随着系统变得越来越复杂的，优化变量的数量增加，与多区VAV（可变空气量）空调系统一样复杂，导致大规模数学编程挑战和在实现传统的集中优化策略方面的不便。因此，本文提出了一种采用基于多种Agent的分布式优化方法的实时最优控制策略，用于多区VAV空调系统。拟议的策略包括三种新计划。首先，温度设定点复位方案采用线性规则来关联各个区域中的温度设定点的重置，以简化优化问题，同时在各个区域中应用适当的优化。其次，通过制定多目标优化问题，多目标优化方案优化供应空气和临界区中温度设定点的清新空气比。第三，开发了一种多代理分布式优化方案来以分布式方式解决优化问题，便于部署局部控制设备的有限容量。构建TRNSYS-MATLAB共仿真测试用测试台以测试和验证所提出的策略。测试结果表明，该策略在适当平衡的热舒适度，IAQ和能源使用时是有效的，同时在很大程度上降低了编程挑战。分布式优化方法可以提供与常规集中式优化方法相同的最佳输出。

著录项

获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号