University of Bahrain
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Optimal Utilization of Hybrid Renewable Energy System with Incentive Based Demand Response Program

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dc.contributor.author Singh, Sarabjeet
dc.contributor.author Chanana, Saurabh
dc.date.accessioned 2020-10-27T09:17:37Z
dc.date.available 2020-10-27T09:17:37Z
dc.date.issued 2019-09-01
dc.identifier.uri https://journal.uob.edu.bh:443/handle/123456789/4102
dc.description.abstract - Demand response plays a vital role in electricity market to maintain energy balance between supply and load. In this paper Optimal Utilization of Hybrid Energy System with Incentive Based Demand Response Program (DRP) is proposed. Incentive based demand response program is implemented using Hybrid optimization model of electric renewables (HOMER) while optimizing the bidding with minimum cost of energy (COE) , net present cost (NPC) and maximizing the returns. Two incentive sensitivities are analyzed for various configuration of hybrid system. This DRP encourage the consumers to participate and to reduce their peak load. Finally, HOMER based simulations are carried out which shows efficacy of our proposed Incentive Based Demand Response Program. en_US
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/4.0/ *
dc.subject Cost of energy en_US
dc.subject Demand Response en_US
dc.subject Energy en_US
dc.subject Hybrid en_US
dc.subject Incentive en_US
dc.subject Net present en_US
dc.title Optimal Utilization of Hybrid Renewable Energy System with Incentive Based Demand Response Program en_US
dc.identifier.doi https://dx-doi.org/10.12785/ijcnt/070304
dc.volume Volume 7 en_US
dc.issue Issue 3 en_US
dc.contributor.authorcountry India en_US
dc.contributor.authorcountry India en_US
dc.contributor.authoraffiliation Assistant Executive Engineer, P.S.T.C.L Patiala, India en_US
dc.contributor.authoraffiliation Associate Professor Electrical Engineering Department, National Institute of Technology Kurukshetra, India en_US
dc.source.title International Journal of Network and Technology en_US


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