| 引用本文: | 陈程,陈星莺,张健钊,余昆,甘磊.考虑分时电价的地源热泵系统随机运行优化策略[J].电力系统保护与控制,2019,47(12):57-64.[点击复制] |
| CHEN Cheng,CHEN Xingying,ZHANG Jianzhao,YU Kun,GAN Lei.Stochastic operational optimal strategy for ground source heat pump system under TOU price[J].Power System Protection and Control,2019,47(12):57-64[点击复制] |
|
| 摘要: |
| 地源热泵电采暖相较于其他采暖系统具有更高的社会效益及经济效益。为提高地源热泵系统的用电能效，提出了一种基于分时电价的地源热泵随机运行优化策略。提出了一种用户热负荷计算方法。在此基础上，以兼顾用电费用最省和热舒适度最优为优化目标，基于机会约束规划理论，建立了计及不确定性的地源热泵系统随机运行优化模型。采用改进PSO算法进行求解，得到地源热泵系统的优化控制策略及热泵机组的负载率分配策略。以某校园教学楼采暖系统进行算例仿真，结果表明所提出的模型及控制策略能够在满足舒适度要求的基础上，提高校园地源热泵系统用电能效，降低用电费用。 |
| 关键词: 电能替代 地源热泵 机会约束规划 随机优化 PSO |
| DOI：10.7667/PSPC20191207 |
| 投稿时间：2018-07-16修订日期：2018-12-04 |
| 基金项目:国家自然科学基金重点项目资助(U1766203);国家重点研发计划资助(2016YFB0901100);国家电网公司科技项目资助“城区用户与电网供需友好互动系统” |
|
| Stochastic operational optimal strategy for ground source heat pump system under TOU price |
| CHEN Cheng,CHEN Xingying,ZHANG Jianzhao,YU Kun,GAN Lei |
| (College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China;College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China;Jiangsu Engineering Research Center for Distribution & Utilization and Energy Efficiency, Nanjing 211100, China) |
| Abstract: |
| Using ground source heat pump for electric heating brings more social and economic benefits than other heating systems. To improve the energy efficiency of ground source heat pump system, stochastic operational optimal strategy for ground source heat pump system under TOU price is put forward. A method for calculating the thermal load of users is proposed. On this basis, the stochastic operational optimal model of ground source heat pump system is established according to the principle of Chance-Constrained Programming (CCP), which aims to minimize electricity consumption and maximize the thermal comfort. The improved PSO algorithm is used to resolve the model to obtain the optimal control strategy of ground source heat pump system and the load distributive strategy of heat pump units. The analysis of example, a campus heating building heating system, shows that the model and the control strategy proposed in this paper can improve the energy efficiency of electric heating system on campus and lower the cost of electricity consumption without reducing the thermal comfort. This work is supported by National Natural Science Foundation of China (No. U1766203), National Key Research and Development Program of China (No. 2016YFB0901100), and Science and Technology Project of State Grid Corporation of China “Supply and Demand Friendly Interactive System between Urban Customer and Power Grid”. |
| Key words: alternative energy ground source heat pump chance constrained programming stochastic optimization PSO |
