CN

Mingyu YanYAN MINGYU

研究员(自然科学)    Supervisor of Doctorate Candidates    Supervisor of Master's Candidates

  • Professional Title:研究员(自然科学)
  • Gender:Male
  • Status:Employed
  • Department:School of Electrical and Electronic Engineering
  • Education Level:Postgraduate (Doctoral)
  • Degree:Doctoral Degree in Engineering

Paper Publications

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A convex three-stage SCOPF approach to power system flexibility with unified power flow controllers

Release time:2021-05-01
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Journal paper
Document Code:
20984743
First Author:
Mingyu Yan
Correspondence Author:
Mohammad Shahidehpour
Co-author:
Aleksi Paaso,Liuxi Zhang,Ahmed Alabdulwahab,Abdullah Abusorrah
Journal:
IEEE Transactions on Power Systems
Included Journals:
SCI
Place of Publication:
United States
Discipline:
Engineering
First-Level Discipline:
Electrical Engineering
Document Type:
J
Volume:
36
Issue:
3
Page Number:
1947-1960
ISSN No.:
0885-8950
Key Words:
Three-stage security-constrained optimal power flow, UPFC, fast-response corrective action, convex approach, Benders decomposition, sequential cone programming.
DOI number:
10.1109/TPWRS.2020.3036653
Date of Publication:
2021-05-01
Impact Factor:
7.326
Abstract:
This paper proposes a methodology for enhancing the power system flexibility, which can respond properly to contingencies in real-time operations. The proposed approach introduces a unified power flow controller (UPFC) in a three-stage security-constrained optimal power flow (SCOPF). The pre- and post-contingency system operation states are divided into three stages including the base case, post-contingency short-term, and post-contingency long-term periods. The UPFC applications re-route active power flow and provide reactive power to mitigate overloads and voltage violations when line outages occur in power systems. UPFC is adopted as a fast-response corrective control device during the post-contingency short-term period, which is coordinated with the conventional slow-response corrective control system during the post-contingency long-term period. A convex approach is applied to reformulate the original nonlinear nonconvex SCOPF problem into a second-order cone programming (SOCP) problem. A two-level algorithm using Benders decomposition and sequential cone programming (SCP) is applied to solve the large-scale SOCP problem. An improved covering cut bundle (CCB) strategy is proposed to accelerate the convergence of the Benders decomposition algorithm. Numerical results show the effectiveness of the proposed model and its solution technique for enhancing the power system flexibility.
Links to published journals:
https://ieeexplore.ieee.org/abstract/document/9252174