NDLI: WKS-type distributionally robust optimisation for optimal sub-hourly look-ahead economic dispatch

Content Provider	IET Digital Library
Author	Liu, Yang Chen, Xianbang Li, Bin Li, Huaqiang Ye, Yanli
Abstract	Renewable energy sources, particularly wind power, are being increasingly deployed in power systems to reduce environmental contamination. However, the uncertainty of wind power significantly influences power system economy. Therefore, this study presents Wiesemann–Kuhn–Sim (WKS)-type distributionally robust optimisation for performing an optimal two-stage sub-hourly look-ahead economic dispatch considering uncertain wind power. The dispatch considers the scheduling of thermal generators, wind power generators, and fast-response resources. The optimisation aims at minimising the expected total operational cost, including the costs of generation, generation shedding, and wind power curtailment. The hourly stage determines the thermal generation that can withstand the worst-case wind power distribution. The sub-hourly stage schedules the fast-response operations to correct the hourly dispatch. To characterise the uncertainty, a novel WKS-format ambiguity set that can obtain wind power distribution from historical data is constructed using the lifting theorem. Based on the ambiguity set and linear decision rule, a general lemma is employed to convert the model into a tractable conic optimisation that can be directly solved. Experimental results demonstrate the effectiveness of the presented approach compared to adjustable robust optimisation and sample-based stochastic optimisation.
Starting Page	2237
Ending Page	2246
Page Count	10
ISSN	17518687
Volume Number	14
e-ISSN	17518695
Issue Number	Issue 12, Jun (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/14/12
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2019.1344
Journal	IET Generation, Transmission & Distribution
Publisher Date	2019-12-20
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Adjustable Robust Optimisation Fast-response ReSource Generation Shedding Optimal Sub-hourly Look-ahead Economic Dispatch Optimisation Optimisation Technique Power Generation Dispatch Power Generation Economics Power Generation Scheduling Power System Power System Economics Power System Economy Power System Managemen Power System Operation Renewable Energy Source Sample-based Stochastic Optimisation Statistics Stochastic Linearised SCUC Thermal Generation Thermal Generator Tractable Conic Optimisation Uncertain Wind Power Wiesemann–Kuhn–Sim-type Distributionally Robust Optimisation Wind Power Wind Power Curtailment Wind Power Distribution Wind Power Generator Wind Power Plant WKS-format Ambiguity Set WKS-type Distributionally Robust Optimisation
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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