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¿¬±¸¼º°ú > HIGHLY CITED PAPERS (HCP)

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SCIE Article

[Excluded] An Incentive-Based Demand Response (DR) Model Considering Composited DR Resources
Author Yu, Mengmeng; Hong, Seung Ho; Ding, Yuemin; Ye, Xun
Corresponding Author Info Prof. Hong, Seung Ho (È«½ÂÈ£ ±³¼ö, ÀüÀÚ°øÇкÎ)
Professor
E-mail ¸ÞÀÏshhong@hanyang.ac.kr
Document Type
Source IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS 2019, 66, 1488-1498
Times Cited Excluded
External Information pdfhttps://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8336894
Abstract - 3¿ù/4¿ù 2020ºÎ·Î, ÀÌ ³í¹®ÀÇ Àοë Ƚ¼ö°¡ ºÐ¾ß¿Í ÃâÆÇ ¿¬µµ¿¡ ´ëÇØ Engineering °ü·Ã Çмú ºÐ¾ß¿¡¼­ »óÀ§ 1%¿¡ ¿Ã¶ú½À´Ï´Ù
- ÃâÆÇ¿¬µµ: FEB 2019

<Abstract>
Demand response (DR) has been recognized as a powerful tool to help mitigate power imbalances in a future smart energy system. This paper takes the point of view of a grid operator (GO) to establish an intraday resource trading framework, over which DR resources from different sectors (large industrial consumers and small-or middle-sized customers) are brought to the system level and are assessed by the GO along with the generators, with the aim of procuring the required system resources at minimal cost. Considering the distinct behaviors of the involved entities, Stackelberg game theory was adopted to analyze the coordination among the various decision makers. A unique Stackelberg equilibrium was identified that yields the optimal outcome for the resource trading game between the GO and demand-side participators. Simulation results demonstrated that the total procurement cost was minimized by applying the proposed approach.
Web of Science Categories Automation & Control Systems; Engineering, Electrical & Electronic; Instruments & Instrumentation
Funding
Language
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Àüü Excluded ±âŸ
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[Excluded]Incentive-based demand response for smart grid with reinforcement learning and deep neural network

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Source : APPLIED ENERGY  2019, 236, 937-949

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[Excluded] An Incentive-Based Demand Response (DR) Model Considering Composited DR Resources

Author(s) : Yu, Mengmeng; Hong, Seung Ho; Ding, Yuemin; Ye, Xun

Source : IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS  2019, 66, 1488-1498

Time Cited : Excluded

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