Economic optimization of smart distribution networks considering real-time pricing


Zhang, H., Zhao, D., GU, C., LI, F. and Wang, B., 2014. Economic optimization of smart distribution networks considering real-time pricing. Journal of Modern Power Systems and Clean Energy, 2 (4), pp. 350-356.

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With the development of smart meters, a real-time 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 £ every hour.


Item Type Articles
CreatorsZhang, H., Zhao, D., GU, C., LI, F. and Wang, B.
Related URLs
Uncontrolled Keywordsdistribution network,economic operation,electricity cost,real-time pricing
DepartmentsFaculty of Engineering & Design > Electronic & Electrical Engineering
Research CentresCentre for Sustainable Power Distribution
EPSRC Centre for Doctoral Training in Statistical Mathematics (SAMBa)
ID Code48220


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