| 引用本文: | 王世君,袁绍军,卢志刚,乞胜静,夏革非.基于改进MOBCC算法的空气源热泵水温范围设置优化研究[J].电力系统保护与控制,2020,48(15):125-133.[点击复制] |
| WANG Shijun,YUAN Shaojun,LU Zhigang,QI Shengjing,XIA Gefei.Research on optimization of water temperature range setting of air source heat pump based on improved MOBCC algorithm[J].Power System Protection and Control,2020,48(15):125-133[点击复制] |
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| 摘要: |
| 在“煤改电”的新形势下，空气源热泵安全经济、高效清洁，日益成为农村电采暖的主要形式之一。针对农村的空气源热泵-散热器系统，基于空气源热泵控制原理推导出系统热模型，并建立了以电采暖用户的经济性和热舒适性为目标的空气源热泵的水温范围设置多目标优化模型。此外，在传统多目标细菌群体趋药性(Multi-objective Bacterial Colony Chemotaxis, MOBCC)算法的基础上，提出细菌个体寻优变步长策略和细菌群体定向变异策略，改善了解集的收敛性和多样性。采用改进MOBCC算法和基于模糊隶属度函数的多目标决策方法实现优化，算例仿真结果验证了改进MOBCC算法的性能和所建立模型的正确性。 |
| 关键词: 煤改电 空气源热泵 多目标优化 水温范围设置 改进MOBCC算法 |
| DOI：DOI: 10.19783/j.cnki.pspc.191165 |
| 投稿时间：2019-09-23修订日期：2019-12-25 |
| 基金项目:国家自然科学基金项目资助(61873225)；河北省自然科学基金京津冀合作专项项目资助(F2016203507) |
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| Research on optimization of water temperature range setting of air source heat pump based on improved MOBCC algorithm |
| WANG Shijun,YUAN Shaojun,LU Zhigang,QI Shengjing,XIA Gefei |
| (1. State Grid Jibei Chengde Power Supply Company, Chengde 067000, China;
2. Yanshan University, Qinhuangdao 066004, China) |
| Abstract: |
| Under the new situation of "coal-to-electricity", the air-source heat pump has become one of the main forms of rural electric heating because of its advantages of safety, economy, high efficiency and cleaning. For the rural air source heat pump-radiator system, a thermal model based on the air source heat pump control principle is deduced, and a multi-objective optimization model for setting the water temperature range of an air-source heat pump with the goals of economy and thermal comfort for electric heating users is established. In addition, based on the traditional Multi-Objective Bacterial Colony Chemotaxis (MOBCC) algorithm, a bacterial individual optimization step time varying strategy and a bacterial colony-oriented mutation strategy are proposed. These improve the convergence and diversity of the solution set. The improved MOBCC algorithm and multi-objective decision-making method based on fuzzy membership function are applied to achieve the optimization. The simulation results of the examples verify the performance of the improved MOBCC algorithm and the correctness of the model.
This work is supported by National Natural Science Foundation of China (No. 61873225) and Special Fund for Beijing-Tianjin-Hebei Corporation of Natural Science Foundation of Hebei Province (No. F2016203507). |
| Key words: coal to electricity air source heat pump multi-objective optimization water temperature range setting improved MOBCC algorithm |
