Economic optimization of smart distribution networks considering real-time pricing

被引:20
作者
Zhang, Hong [1 ]
Zhao, Dongmei [1 ]
Gu, Chenghong [1 ]
Li, Furong [1 ]
Wang, Bo [1 ]
机构
[1] North China Elect Power Univ, Beijing 102206, Peoples R China
基金
英国工程与自然科学研究理事会;
关键词
Distribution network; Economic operation; Electricity cost; Real-time pricing; PARTICLE SWARM OPTIMIZATION; DEMAND; ALGORITHM; DISPATCH; SYSTEMS; MODEL;
D O I
10.1007/s40565-014-0086-7
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
080906 [电磁信息功能材料与结构]; 082806 [农业信息与电气工程];
摘要
With the development of smart meters, a realtime pricing (RTP) demand response is becoming possible for households in distribution networks. The power flow can be bidirectional in distribution networks which become smarter with distributed generators (DGs). It is expensive to import electricity from the generation far from load centers because of the cost of power loss and network use, so that it is more economical to use electricity generated by local distributed generators. Therefore, in order to curtail operating costs of distribution networks, this paper proposes a model of economic optimization conducted by distribution network operators. The electricity purchasing costs for distribution network operators are minimized by optimizing electric power from transmission systems and local distributed generators. Further, based on price elasticity, the formulations of load demand considering RTP are proposed with economic optimization of distribution networks. The economic optimization problems are resolved by an interior point method. The case study shows that peak load demand can be reduced about 3.5% because the household RTP and electricity purchasing costs of distribution network operators can save 28.86 pound every hour.
引用
收藏
页码:350 / 356
页数:7
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