Real Time Energy Management System for Smart Buildings to Minimize the Electricity Bill

被引:11
作者
Chauhan R.K. [1 ,5 ]
Rajpurohit B.S. [1 ,5 ]
Wang L. [2 ,6 ]
Gonzalez Longatt F.M. [3 ]
Singh S.N. [4 ]
机构
[1] Galgotia's College of Engineering and Technology, Greater Noida
[2] Department of Electrical Engineering, University of Wisconsin, Milwaukee, WIM
[3] School of Electronic, Electrical and Systems Engineering, Loughborough University, Epinal Way, Loughborough
[4] Department of Electrical Engineering, Indian Institute of Technology Kanpur, Kalyanpur, Kanpur,Uttar Pradesh
[5] Indian Institute of Technology Mandi, School of Computing and Electrical Engineering, Kamand Campus, VPO Kamand, District -Mandi, Mandi
[6] University of Wisconsin-Milwaukee, Department of Electrical Engineering, Milwaukee
关键词
critical load; DC microgrid; distributed generation; load and source management; PV generator; smart building;
D O I
10.1515/ijeeps-2016-0238
中图分类号
学科分类号
摘要
This paper presents a real time price based energy management system for DC microgrid. The DC distribution system is considered as a prospective system according to the increase of DC loads and DC output type distribution energy resources (DERs) such as photovoltaic (PV) systems, battery bank (BB), and hybrid car (HC). The control objective is to achieve the optimal cost of energy. The proposed control scheme is developed based on the source as well as load scheduling of the DC microgrid. The source scheduling algorithm is based on the selection of cheapest power source to supply the load of DC microgrid and achieve the optimal electricity price. The BB and HC charges in regular hours at the less electricity price to supply the future load during the higher electricity price of the public utility. The load scheduling algorithm shifts the deferrable load of the building from peak hours to the regular hours to obtain the lowest cost of energy for the building. The proposed scheme significantly decreases the peak demand, which is the main cause of load shedding. Dynamic simulation is presented to access the control performance with price fluctuations and robustness of the system. © 2017 Walter de Gruyter GmbH, Berlin/Boston 2017.
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