引用本文:梁甜甜,高赐威,王蓓蓓.智能电网下电力需求侧管理应用[J].电力自动化设备,2012,32(5):
LIANG Tiantian,GAO Ciwei,WANG Beibei.Applications of demand side management in smart grid[J].Electric Power Automation Equipment,2012,32(5):
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智能电网下电力需求侧管理应用
梁甜甜1,2, 高赐威1,2, 王蓓蓓1,2
1.东南大学 电气工程学院,江苏 南京 210096;2.南京工程学院 电力工程学院,江苏 南京 211167
摘要:
研究了智能电网对电力需求侧管理(PDSM)的促进作用,建立了智能电网环境下的PDSM模型。一方面,模型中通过实时销售电价动态调整负荷需求,将发电侧统一出清的上网电价融入到实时销售电价模型中,同时为保证供电方有合理的利润,对实时电价进行了修正。另一方面,提出了紧急情况下利用智能设备削减负荷的具体操作方法,建立了智能设备控制技术模型,同时大规模接入分布式储能装置作为系统的备用容量,分析了分布式储能装置控制技术模型与智能设备控制技术模型的异同。基于MATLAB仿真技术,采用IEEE 30节点系统作为算例,仿真验证了所建PDSM模型的可行性。算例结果表明,通过实时电价的调整可将日负荷率提高2.788 %,在紧急情况下利用智能设备和分布式储能装置控制技术可有效减少7.22 % 的高峰负荷。
关键词:  需求侧管理  智能电网  实时电价  智能设备  分布式能源  负荷管理  模型  电力市场
DOI:
分类号:
基金项目:国家自然科学基金资助项目(71001026)
Applications of demand side management in smart grid
LIANG Tiantian1,2, GAO Ciwei1,2, WANG Beibei1,2
1.Electrical Engineering School,Southeast University,Nanjing 210096,China;2.School of Electric Power Engineering,Nanjing Institute of Technology,Nanjing 211167,China
Abstract:
The promoting effect of smart grid on PDSM(Power Demand Side Management) is analyzed and the PDSM model of smart grid is established. The unified clearing onto-grid price at generating side is considered in the model and the real-time price is amended to ensure its reasonable profit,which dynamically adjusts the load demand. The specific methods of load shedding by intelligent equipment are proposed for emergent cases and the control technique model of intelligent equipment is established. Large-scale distributed energy storage devices are integrated as reserve capability in power system and the comparison of control technique model is carried out between distributed energy storage device and intelligent equipment. Based on MATLAB simulation technique and with IEEE 30-bus system as an example,the feasibility of PDSM model is verified,which shows that,the daily load rate rises by 2.788% through the real-time retail price adjustment and the peak load decreases by 7.22% through the control technique for intelligent equipment and distributed energy storage devices in case of emergency.
Key words:  demand side management  smart grid  real-time price  intelligent equipment  distributed energy resource  electric load management  mathematical models  electricity market

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