NDLI: Solution proposal to the unit commitment problem incorporating manifold uncertainties

Content Provider	IET Digital Library
Author	Zhai, Fang Shi, Libao
Abstract	The widespread uncertainties have made the interaction of renewable energy sources and power grid more complicated and difficult to handle. This study proposes a solution proposal to the unit commitment problem incorporating multiple uncertainties, consisting of probability, possibility, and interval measures. To handle the manifold uncertainties in a focused and efficient manner, the evidence theory (ET) is applied to fuse these uncertain variables into Dempster–Shafer (DS) structure. Furthermore, the uncertainty of power loss is considered and modelled by applying the ET and the extended affine arithmetic framework. Regarding the highly non-linear mix-discrete constrained multivariable characteristic of the established optimisation model, an enhanced binary grey wolf optimiser algorithm is introduced, in which some key issues such as how to compare the objective function values with DS structure, how to deal with the inequality constraints with DS structure, and how to repair the constraints during the solution process are elaborately discussed. Finally, the IEEE 30-bus test system and a real-sized 183-bus China power system are studied to demonstrate the validity and scalability of the proposed model and method.
Starting Page	4763
Ending Page	4774
Page Count	12
ISSN	17518687
Volume Number	14
e-ISSN	17518695
Issue Number	Issue 21, Nov (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/14/21
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2020.0805
Journal	IET Generation, Transmission & Distribution
Publisher Date	2020-08-13
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Affine Transforms Constrained Multivariable Characteristic Dempster–Shafer Structure DS Structure Enhanced Binary Grey Wolf Optimiser Algorithm Established Optimisation Model Evidence Theory Extended Affine Arithmetic Framework IEEE 30-bus Test System Inequality Constraint Integral Transforms in Numerical Analysis Interval Measures Manifold Uncertainties Multiple Uncertainties Nonlinear Mix-discrete Optimisation Optimisation Technique Power Generation Dispatch Power Generation Scheduling Power Grid Power Loss Uncertainty Power System Economics Power System Managemen Power System Operation Real-sized 183-bus China Power System Renewable Energy Source Solution Process Uncertain Variables Uncertainty Handling Unit Commitment Problem Widespread Uncertainties
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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