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Article

Multi-Objective Market Clearing Model with an Autonomous Demand Response Scheme

1
C-MAST, University of Beira Interior, 6201-001 Covilhã, Portugal
2
School of Technology and Innovations, University of Vaasa, 65200 Vaasa, Finland
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Department of Electrical Engineering, Sharif University of Technology, Tehran 11365-11155, Iran
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Department of Electrical and Electronics Engineering, Shiraz University of Technology, Shiraz 71557-13876, Iran
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Instituto de Telecomunicações, 6201-001 Covilhã, Portugal
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University of Beira Interior, 6201-001 Covilhã, Portugal
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Faculty of Engineering of the University of Porto and INESC TEC, 4200-465 Porto, Portugal
*
Author to whom correspondence should be addressed.
Energies 2019, 12(7), 1261; https://doi.org/10.3390/en12071261
Received: 3 December 2018 / Revised: 24 March 2019 / Accepted: 28 March 2019 / Published: 2 April 2019
Demand response (DR) is known as a key solution in modern power systems and electricity markets for mitigating wind power uncertainties. However, effective incorporation of DR into power system operation scheduling needs knowledge of the price–elastic demand curve that relies on several factors such as estimation of a customer’s elasticity as well as their participation level in DR programs. To overcome this challenge, this paper proposes a novel autonomous DR scheme without prediction of the price–elastic demand curve so that the DR providers apply their selected load profiles ranked in the high priority to the independent system operator (ISO). The energy and reserve markets clearing procedures have been run by using a multi-objective decision-making framework. In fact, its objective function includes the operation cost and the customer’s disutility based on the final individual load profile for each DR provider. A two-stage stochastic model is implemented to solve this scheduling problem, which is a mixed-integer linear programming approach. The presented approach is tested on a modified IEEE 24-bus system. The performance of the proposed model is successfully evaluated from economic, technical and wind power integration aspects from the ISO viewpoint. View Full-Text
Keywords: customer’s disutility; day-ahead market; demand response; multi-objective model; wind integration customer’s disutility; day-ahead market; demand response; multi-objective model; wind integration
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MDPI and ACS Style

Hajibandeh, N.; Shafie-khah, M.; Badakhshan, S.; Aghaei, J.; Mariano, S.J.P.S.; Catalão, J.P.S. Multi-Objective Market Clearing Model with an Autonomous Demand Response Scheme. Energies 2019, 12, 1261. https://doi.org/10.3390/en12071261

AMA Style

Hajibandeh N, Shafie-khah M, Badakhshan S, Aghaei J, Mariano SJPS, Catalão JPS. Multi-Objective Market Clearing Model with an Autonomous Demand Response Scheme. Energies. 2019; 12(7):1261. https://doi.org/10.3390/en12071261

Chicago/Turabian Style

Hajibandeh, Neda, Miadreza Shafie-khah, Sobhan Badakhshan, Jamshid Aghaei, Sílvio J.P.S. Mariano, and João P.S. Catalão. 2019. "Multi-Objective Market Clearing Model with an Autonomous Demand Response Scheme" Energies 12, no. 7: 1261. https://doi.org/10.3390/en12071261

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