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### 基于邻域自适应粒子群优化算法的地表水源热泵机组优化调度

1. 湖南科技大学信息与电气工程学院, 湘潭 411201
• 出版日期:2021-06-25 发布日期:2021-09-17

WANG Wei , WU Lianghong , LIU Zhenzu , LI Jian, JIA Rui , ZHANG Hongqiang. Optimal Dispatch of Surface Water Source Heat Pump Based on Neighborhood Adaptive Particle Swarm Optimization Algorithm[J]. Journal of Systems Science and Mathematical Sciences, 2021, 41(6): 1520-1532.

### Optimal Dispatch of Surface Water Source Heat Pump Based on Neighborhood Adaptive Particle Swarm Optimization Algorithm

WANG Wei ，WU Lianghong ，LIU Zhenzu ，LI Jian， JIA Rui ，ZHANG Hongqiang

1. School of Information and Electrical Engineering, Hunan University of Science and Technology, Xiangtan 411201
• Online:2021-06-25 Published:2021-09-17

In order to improve the operating efficiency of the surface water source heat pump regional energy system in the central area of Xiangtan city, a system optimization scheduling model is established, and a neighborhood adaptive particle swarm optimization algorithm (NAPSO) is proposed to solve the constructed model. Aiming at the case where infeasible solutions may appear during the operation, a method is proposed to adjust the infeasible solutions to feasible solutions. The experimental results show that during the summer and winter, in comparison to the current scheduling method, the NAPSO algorithm can save 5.14\% and 4.50\% of the operating cost per day, respectively. Compared with the other five algorithms, the NAPSO algorithm can save up to 0.57\% and 0.50\% of the operating cost per day, respectively. The simulation experiment results show that the proposed algorithm is an effective method to solve the optimal scheduling of surface water source heat pump units.
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