연구진흥

창의적인 신지식 창출과 산업계와의 협력적 네트워크 구축

HIGHLY CITED PAPERS (HCP)

  • 전임교원이 최근 5년간 출판한 논문 중, 연도별 카테고리별 피인용 상위 1%에 달성된 논문
  • 매월 1회 업데이트
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 (홍승호 교수, 전자공학부)
Professor
E-mail
이메일shhong@hanyang.ac.kr
Document Type
Source
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS 2019, 66, 1488-1498
Times Cited
Excluded
External Information
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8336894
Abstract
- 3월/4월 2020부로, 이 논문의 인용 횟수가 분야와 출판 연도에 대해 Engineering 관련 학술 분야에서 상위 1%에 올랐습니다
- 출판연도: 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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  • Source
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    Excluded
[Excluded] An Incentive-Based Demand Response (DR) Model Considering Composited DR Resources
  • Author(s)
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  • Source
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS 2019, 66, 1488-1498
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