چکیده مقاله
Energy management topic has become more important than before with the advancement of technologyin current period of time in developing countries and developed ones, too Also, because of depletion of naturalresources many researches have been done in demand response and energy management field In this paper, anovel scheduling procedure is proposed for power consumption in a home The optimized scheduling in twodifferent pricing models is compared together The proposed optimal power scheduling method can reduceelectricity bills and improve peak to average ratio PAR while taking into account the comfort of the residentsin both pricing models It is demonstrate that Real time pricing combined with Inclining block rate IBR tariffcauses preventing high power consumption at times of low cost and simultaneously improving the PAR index This problem is modeled as a non linear multi objective optimization problem and it is solved by nondominatedsorting genetic algorithm NSGAII in MATLAB software
کلیدواژهها
نویسندگان
Amir Hossein Sharifi
Department of electrical engineering, Shahed University, Tehran, Iran
Pouria Maghouli
Department of electrical engineering, Shahed University, Tehran, Iran
Seyed Mehdi Seyedi
Department of electrical engineering, Iran University of science and technology IUST , Tehran, Iran
شیوه ارجاع
Sharifi, Amir Hossein and Maghouli, Pouria and Seyedi, Seyed Mehdi,1397,Optimal Smart home Energy management system for demand response based on a novel real time pricing tariff,Second Conference on Energy Infrastructure, Electrical Engineering and Nanotechnology,Tehran
ارائهشده در
مجموعه مقالات دومین کنفرانس زیرساخت های انرژی،مهندسی برق و نانو فناوری19 اردیبهشت 1397 · تهران