引用本文:施金晓,邰能灵,李珂,唐跃中.计及需求侧管理的热泵-储能型微电网能量优化策略[J].电力自动化设备,2017,37(6):
SHI Jinxiao,TAI Nengling,LI Ke,TANG Yuezhong.Energy optimization strategy considering demand-side management for microgrid with heat pump and hybrid energy storage[J].Electric Power Automation Equipment,2017,37(6):
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计及需求侧管理的热泵-储能型微电网能量优化策略
施金晓1, 邰能灵1, 李珂1, 唐跃中2
1.上海交通大学 电气工程系,上海 200240;2.上海市电力公司市南供电公司,上海 201100
摘要:
为减少储能总容量和蓄电池动作次数,提出一种计及需求侧管理的微电网能量优化策略。考虑热泵的负荷特性,根据产热量与热泵工质流速的关系建立相应的热泵系统模型。根据热负荷日需求曲线,对热泵的储热容量模型进行分析与计算;按照频率区间将微电网功率波动划分为高频成分与中低频成分,并采用模糊控制理论将波动功率在热泵、蓄电池与超级电容间进行分配。该策略对微电网进行削峰填谷,对功率波动进行抑制,实现了微电网的可靠、经济运行。算例验证了所提能量管理策略的正确性与有效性。
关键词:  微电网  能量优化  能量管理  需求侧管理  热泵  混合储能  模糊控制  优化
DOI:10.16081/j.issn.1006-6047.2017.06.020
分类号:TM73
基金项目:教育部科学技术研究项目(113023A)
Energy optimization strategy considering demand-side management for microgrid with heat pump and hybrid energy storage
SHI Jinxiao1, TAI Nengling1, LI Ke1, TANG Yuezhong2
1.Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China;2.Southern Shanghai Municipal Electric Power Company, Shanghai 201100, China
Abstract:
A microgrid energy optimization strategy considering the demand-side management is proposed to reduce the total capacity of energy storage system and the action times of battery. Based on the load characteristics of heat pump, a model of heat pump system is established according to the relationship between the heat production and the flow rate of working fluid. The heat storage capacity model is analyzed and calculated according to the daily demand curve of heat load. The power fluctuation of microgrid is divided into high and low frequency components according to the frequency intervals and the fuzzy control theory is adopted to allocate the fluctuated power among heat pumps, batteries and super capacitors. The proposed strategy alleviates the peak and valley loads of microgrid to restrain its power fluctuation for its reliable and economical operation. Case verification proves the correctness and effectiveness of the proposed strategy.
Key words:  microgrid  energy optimization  energy management  demand-side management  heat pump  hybrid energy-storage system  fuzzy control  optimization

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