NDLI: Short term economical scheduling in an energy hub by renewable and demand response

Content Provider	IEEE Xplore Digital Library
Author	Pazouki, S. Haghifam, M.-R.
Copyright Year	2013
Description	Author affiliation: Dept. of Electr. Eng., Tarbiat Modares Univ. (TMU), Tehran, Iran (Haghifam, M.-R.) \|\| Dept. of Electr. Eng., Islamic Azad Univ. (IAU), Tehran, Iran (Pazouki, S.; Pazouki, S.)
Abstract	Energy hub is a super node in electrical power system which has strong potential to receive varying energy carriers such as electricity and natural gas in hub input and as a minimum cost solution determines when and how much of which carrier should be purchased and stored in order to persuade required demands. Energy hub concept is not constricted to specific carriers and sizes; it can be extended for different approaches in response to different energy needs. In this paper, we present optimal scheduling of an extended energy hub for 24 hours under smart grid key drivers; renewable energy, heat and electrical storages, demand response in deregulated market. Numerical results through CPLEX (high performance linear programming solver) of GAMS software approve that proposed approach based on minimum cost solution can indicate when and how much of which carrier should be purchased, stored, interrupted or supplied by renewable resources to satisfy a commercial load. Impact of smart grid technologies and a comprehensive sensitive analysis on hub parameters; prices (electricity, gas, demand response and heat benefit prices), pipelines (electricity, gas and heat), technologies capacity (transformer, boiler, CHP, wind turbine, electrical and heat storages), wind speed and load participation factor is also evaluated on hub operation costs.
Starting Page	1
Ending Page	6
File Size	2398758
Page Count	6
File Format	PDF
e-ISBN	9781479906888
DOI	10.1109/EPECS.2013.6713024
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-10-02
Publisher Place	Turkey
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wind Linear programming Boilers Demand response Energy Hub Electricity Wind speed Optimal Operation Software Wind turbines Mathematical Model Resistance heating Smart Grid Energy storage
Content Type	Text
Resource Type	Article

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