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Optimal scheduling of electrical and thermal resources in active distribution network considering energy storage systems using information gap decision theory
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Mohsen Kia *   |
| Niro Research Institute, Department of Intelligent Control Systems , mohsenkia80@gmail.com |
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Abstract: (51 Views) |
Abstract - Electrical energy generation on a large scale and transmitting it to consumers causes a lot of losses. Using distributed generation (DG) is one of the effective ways to optimize energy consumption. Demand side management solutions have been proposed as one of the appropriate solutions to reduce energy consumption, which underwent changes with the restructuring of the electricity industry. The main emphasis of load side management programs in the electricity market environment is the demand response to electricity price changes. Optimum scheduling of distributed generations along with other energy storage will be very important. In this paper, proposed a model for optimal scheduling of electricity and heat production units and responsive loads, taking into account the uncertainties of scattered productions and the price of buying and selling electricity, by using the mixed integers programming technique. Uncertainty of distributed generations and electricity exchange price is modeled using the information gap decision theory (IGDT). Finally, the proposed model has been implemented in a sample standard network and its efficiency has been shown.
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| Keywords: mixed integers programming, robust optimization, demand response, active distribution network, combined heat and power. |
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Full-Text [PDF 724 kb]
(29 Downloads)
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Type of Study: Research |
Subject:
Energy Management, Conservation and Rational Use of Energy
Received: 2024/04/9 | Accepted: 2025/05/29 | Published: 2024/05/30
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