دوره 17، شماره 4 - ( مجله مهندسی برق و الکترونیک ایران - جلد 17 شماره 4 1399 )                   جلد 17 شماره 4 صفحات 10-1 | برگشت به فهرست نسخه ها


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Separi ّ, Sheikholeslami A, Barforoshi T. Uncertainty-based Multi-objective Modeling for Short-term Demand Response Program Scheduling in the Presence of Retail Electricity Providers. Journal of Iranian Association of Electrical and Electronics Engineers 2020; 17 (4) :1-10
URL: http://jiaeee.com/article-1-881-fa.html
Separi ّFaramarz، Sheikholeslami Abdolreza، Barforoshi Taghi. Uncertainty-based Multi-objective Modeling for Short-term Demand Response Program Scheduling in the Presence of Retail Electricity Providers. نشریه مهندسی برق و الکترونیک ایران. 1399; 17 (4) :1-10

URL: http://jiaeee.com/article-1-881-fa.html


Department of Electrical Engineering, Faculty of Electrical and Computer Engineering, Babol Nooshirvani University of Technology
چکیده:   (1723 مشاهده)
In this paper, the short-term scheduling for demand response program (DRP) with retail electricity providers (REPs) with light physical assets is proposed. The main contribution is to determine an optimal multi-objective model for these REPs to integrate them into design-model of the incentive-based DRP for retail markets, considering load uncertainties on the locational marginal prices (LMP). Fuzzy logic modeling is used for simulating load uncertainty. Non-dominated sorting genetic algorithm (NSGA-II) is used, due to non-linearity and thus the complexity of the proposed model. A non-linear sorting system based on fuzzy logic is also utilized to find the best compromise among the set of solutions generated by the Pareto-front space. IEEE 24 bus reliability test system is utilized to explain the optimal performance of the proposed approach.
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نوع مقاله: پژوهشي | موضوع مقاله: قدرت
دریافت: 1398/2/15 | پذیرش: 1398/10/30 | انتشار: 1399/10/14

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