NDLI: Coordination of generation maintenance scheduling and long-term SCUC with energy constraints and N − 1 contingencies

Content Provider	IET Digital Library
Author	Wang, Yang Zhong, Haiwang Xia, Qing Kang, Chongqing Wang, Tieqiang Cao, Xin
Abstract	This study presents a closed-loop coordination mode and model between generation maintenance scheduling (GMS) and long-term security-constrained unit commitment (SCUC) considering energy constraints and N − 1 contingencies that aims at improving the security and economy of power system operations. Given the calculation complexity, this study employs constraint transformation techniques and an efficient approach termed the relaxation induced method, which is based on the solution of the relaxed mixed-integer programming (MIP) model. The proposed approach can quickly obtain a near-optimal solution. If the near-optimal solution is not acceptable for system operators, it can be used to warm-start the solution of the original MIP problem. The modified IEEE 30-bus test system and a provincial power system in China are employed to demonstrate the effectiveness of the proposed model and algorithm.
Starting Page	325
Ending Page	333
Page Count	9
ISSN	17518687
Volume Number	10
e-ISSN	17518695
Issue Number	Issue 2, Feb (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/10/2
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2015.0183
Journal	IET Generation, Transmission & Distribution
Publisher Date	2016-02-04
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Calculation Complexity Closed-loop Coordination Mode Constraint Transformation Technique Energy Constraint Generation Maintenance Scheduling Integer Programming Long-term SCUC Optimisation Technique Power Generation Dispatch Power Generation Scheduling Power System Economics Power System Managemen Power System Operation Relaxation Induced Method Relaxed Mixed-integer Programming Model Security Constrained Unit Commitment
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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