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CN106940068A 一种基于遗传蚁群算法的水蓄冷空调系统节能优化控制策略的确定方法 有权

  • Patent Title: 一种基于遗传蚁群算法的水蓄冷空调系统节能优化控制策略的确定方法
  • Patent Title (English): Genetic ant colony algorithm based determination method for water cool storage air-conditioning system energy-saving optimal control strategy
  • Application No.: CN201710154569.7
    Application Date: 2017-03-15
  • Publication No.: CN106940068A
    Publication Date: 2017-07-11
  • Inventor: 李康 , 马荣玮
  • Applicant: 山东大学
  • Applicant Address: 山东省济南市历城区山大南路27号
  • Assignee: 山东大学
  • Current Assignee: 山东大学
  • Current Assignee Address: 山东省济南市历城区山大南路27号
  • Agency: 济南金迪知识产权代理有限公司
  • Agent 叶亚林
  • Main IPC: F24F11/00
  • IPC: F24F11/00 ;  G06N3/00 ;  G06N3/12
一种基于遗传蚁群算法的水蓄冷空调系统节能优化控制策略的确定方法
Abstract:
本发明涉及一种基于遗传蚁群算法的水蓄冷空调系统节能优化控制策略的确定方法。本发明建立水蓄冷空调系统的能耗模型并作为目标函数，利用遗传算法和蚁群算法结合后收敛速度较快、精度较高的优点对其进行寻优，找到全局最优解并作为最优控制参数，确定节能优化控制策略。
Abstract(English):

The invention relates to a genetic ant colony algorithm based determination method for a water cool storage air-conditioning system energy-saving optimal control strategy. An energy consumption model of a water cool storage air-conditioning system is built and serves as an objective function, the advantages of high convergence rate and high accuracy after combination of a genetic algorithm and an ant colony algorithm are used for conducting optimizing, a globally optimal solution is found and serves as an optimum control parameter, and the energy-saving optimal control strategy is determined.

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