Economic Scheduling of Microgrid Based on Energy Management and Demand Response

Currently, microgrids are regarded one of the main substations in distribution networks that generate electrical energy locally. The advantages of microgrids include easy management, optimization, and highly reliable supply. In this paper, the recommended model is based on economic and emission opti...

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Main Author: Chamandoust Heydar
Format: Article
Language:English
Published: Riga Technical University Press 2018-12-01
Series:Electrical, Control and Communication Engineering
Subjects:
Online Access:https://doi.org/10.2478/ecce-2018-0012
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author Chamandoust Heydar
author_facet Chamandoust Heydar
author_sort Chamandoust Heydar
collection DOAJ
description Currently, microgrids are regarded one of the main substations in distribution networks that generate electrical energy locally. The advantages of microgrids include easy management, optimization, and highly reliable supply. In this paper, the recommended model is based on economic and emission optimal scheduling in connection to the main grid mode; implementation model implies the short-term mode with optimal operation units and the use of real-time pricing (RTP) plan. In this study, a multi-objective function for operating costs and emission with the augmented ɛ-constraint method has been considered; fuzzy decision-making process has been employed to obtain the best solution. In addition, it has been considered that a microgrid has interruptible and shiftable loads that can participate in demand response programs. The presented results have been evaluated based on different demand response programs.
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institution Kabale University
issn 2255-9159
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publishDate 2018-12-01
publisher Riga Technical University Press
record_format Article
series Electrical, Control and Communication Engineering
spelling doaj-art-4228e232d83f4e42995d2c44d1b65adc2025-01-02T16:35:58ZengRiga Technical University PressElectrical, Control and Communication Engineering2255-91592018-12-0114210010710.2478/ecce-2018-0012ecce-2018-0012Economic Scheduling of Microgrid Based on Energy Management and Demand ResponseChamandoust Heydar0Department of Electrical Engineering, Damavand Branch, Islamic Azad University, Damavand, IranCurrently, microgrids are regarded one of the main substations in distribution networks that generate electrical energy locally. The advantages of microgrids include easy management, optimization, and highly reliable supply. In this paper, the recommended model is based on economic and emission optimal scheduling in connection to the main grid mode; implementation model implies the short-term mode with optimal operation units and the use of real-time pricing (RTP) plan. In this study, a multi-objective function for operating costs and emission with the augmented ɛ-constraint method has been considered; fuzzy decision-making process has been employed to obtain the best solution. In addition, it has been considered that a microgrid has interruptible and shiftable loads that can participate in demand response programs. The presented results have been evaluated based on different demand response programs.https://doi.org/10.2478/ecce-2018-0012augmented ɛ-constraint methodeconomic and emission optimal schedulingdemand response different programs
spellingShingle Chamandoust Heydar
Economic Scheduling of Microgrid Based on Energy Management and Demand Response
Electrical, Control and Communication Engineering
augmented ɛ-constraint method
economic and emission optimal scheduling
demand response different programs
title Economic Scheduling of Microgrid Based on Energy Management and Demand Response
title_full Economic Scheduling of Microgrid Based on Energy Management and Demand Response
title_fullStr Economic Scheduling of Microgrid Based on Energy Management and Demand Response
title_full_unstemmed Economic Scheduling of Microgrid Based on Energy Management and Demand Response
title_short Economic Scheduling of Microgrid Based on Energy Management and Demand Response
title_sort economic scheduling of microgrid based on energy management and demand response
topic augmented ɛ-constraint method
economic and emission optimal scheduling
demand response different programs
url https://doi.org/10.2478/ecce-2018-0012
work_keys_str_mv AT chamandoustheydar economicschedulingofmicrogridbasedonenergymanagementanddemandresponse