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。
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.
出处
《电力自动化设备》
EI
CSCD
北大核心
2012年第5期81-85,共5页
Electric Power Automation Equipment
基金
国家自然科学基金资助项目(71001026)~~
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
Costs
Electric load management
Energy resources
Equipment
Mathematical models
MATLAB
Profitability
Smart power grids
Virtual storage
