NDLI: Research on modelling and solution of stochastic SCUC under AC power flow constraints

Content Provider	IET Digital Library
Author	Nan, Yang Di, Ye Zheng, Zhou Jiazhan, Cui Daojun, Chen Xiaoming, Wang
Abstract	With the more precise day-ahead scheduling strategy for large-scale wind power integration, a model of stochastic security-constrained unit commitment (SCUC) under AC constraints is built and its corresponding solution is given here. A unit commitment model under AC power flow is developed based on network security constraints considering the uncertainty of wind power. In order to analyse this model in time, an ordinal optimisation is presented. The proposed method is verified by the numerical test on a modified IEEE-118 test system. The results show that the risk of voltage over-limit in large-scale wind power integration can be reduced effectively. Meanwhile, the validity of day-ahead generation schedule is enhanced. Furthermore, the computational efficiency of the proposed algorithm is improved significantly compared with that of the traditional one.
Starting Page	3618
Ending Page	3625
Page Count	8
ISSN	17518687
Volume Number	12
e-ISSN	17518695
Issue Number	Issue 15, Aug (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/12/15
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2017.1845
Journal	IET Generation, Transmission & Distribution
Publisher Date	2018-04-09
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	AC Power Flow Constraint Day-ahead Generation Schedule Day-ahead Scheduling Strategy Large-scale Wind Power Integration Load Flow Modified IEEE-118 Test System Network Security Constraint Numerical Test Optimisation Optimisation Technique Ordinal Optimisation Power Generation Dispatch Power Generation Scheduling Power System Control Power System Economics Power System Managemen Power System Operation Power System Security Statistics Stochastic Linearised SCUC Stochastic SCUC Stochastic Security-constrained Unit Commitment Model Voltage Over-limit Risk Wind Power Plant Wind Power Uncertainty
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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