摘要
在智能电网中,实时电价(RTP)是解决智能电网供需平衡的理想手段。通过分析国内外实时电价机制发展现状,将家庭用户负荷分为四类,综合考虑用户间的不同用电特性,构建了相应的用电效益优化模型,采用分布式算法,结合某地区的具体数据,并针对不同的需求响应方案、蓄电池成本、系统大小对模型进行仿真。结果表明,基于分布式算法的需求响应实时电价策略可使社会用电效益最大化。
In smart grid,real-time pricing is an ideal scheme to solve the balance of supply and demand.Based on the analysis of the current development of real-time pricing mechanism,dividing the family load into four kinds and considering the electricity characteristics of different users,this paper established the corresponding power utility optimization model.Distributed algorithm is used to simulate for the different demand response schemes,the cost of battery and the size of system with the data of a region.The results show that it can maximize social electricity benefits by using the strategy of demand response of real-time pricing of electricity.
出处
《水电能源科学》
北大核心
2015年第1期194-199,共6页
Water Resources and Power
关键词
智能电网
实时电价
需求响应
用电效益
分布式算法
smart grid
real-time pricing
demand response
electricity benefit
distributed algorithm
