NDLI: Data-driven distributionally robust reserve and energy scheduling over Wasserstein balls

Content Provider	IET Digital Library
Author	Yao, Li Wang, Xiuli Duan, Chao Guo, Jingli Wu, Xiong Zhang, Yue
Abstract	In order to address the wind power uncertainty in the security constrained economic dispatch (SCED), this study proposes a two-stage data-driven distributionally robust reserve and energy scheduling (DDRRES) model that considers the loss of wind spillage and load shedding. This model aims to minimise the total cost while ensuring that the operating constraints are satisfied on the adjustable uncertainty set, of which the boundaries are decision variables. Unlike the previous approaches, which assumed that the underlying true probability distribution (PD) of uncertainty is known, the proposed model does not rely on the specified distribution but extracts the information from historical data directly. The ambiguity sets, i.e., Wasserstein balls are constructed to contain the possible PDs. Fixing the boundaries of adjustable uncertainty set, the operational risk is the expected loss under the worst-case PDs over Wasserstein balls. Thus the operational cost and operational risk can be balanced by adjusting the adjustable uncertainty set. After the tractable formulation of DDRRES is obtained, such a model is solved with the column-and-constraint generation method. The performance of the proposed approach is verified on a 6-bus test system and a 118-bus system.
Starting Page	178
Ending Page	189
Page Count	12
ISSN	17518687
Volume Number	12
e-ISSN	17518695
Issue Number	Issue 1, Jan (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/12/1
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2017.0493
Journal	IET Generation, Transmission & Distribution
Publisher Date	2017-08-03
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	118-bus System 6-bus Test System Adjustable Uncertainty Set Column-and-constraint Generation Method Data-driven Distributionally Robust Reserve And Energy Scheduling DDRRES Model Energy Production Total Cost The Minimisation Minimisation Operation Cost Balancing Operational Risk Optimisation Technique PD Power Generation Dispatch Power Generation Economics Power Generation Scheduling Power System Control Power System Economics Power System Managemen Power System Operation Power System Security Probability Distribution Risk Analysis SCED Problem Security Constrained Economic Dispatch Problem Spinning Reserve Procurement Statistical Distribution Statistics Wasserstein Ball Based Distributionally Robust Optimisation Method
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Data-driven affinely adjustable distributionally robust framework for unit commitment based on Wasserstein metric

Data-driven distributionally robust economic dispatch for distribution network with multiple microgrids

Sizing energy storage to reduce renewable power curtailment considering network power flows: a distributionally robust optimisation approach

Unit commitment using improved adjustable robust optimisation for large-scale new energy power stations

Multi-objective optimisation of generation maintenance scheduling in restructured power systems based on global criterion method

Distributionally robust multi-period energy management for CCHP-based microgrids

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

Robust optimisation for AC–DC power flow based on second-order cone programming

Operation window constrained strategic energy management of microgrid with electric vehicle and distributed resources

Data-driven distributionally robust reserve and energy scheduling over Wasserstein balls

Similar Documents

Data-driven affinely adjustable distributionally robust framework for unit commitment based on Wasserstein metric

Data-driven distributionally robust economic dispatch for distribution network with multiple microgrids

Sizing energy storage to reduce renewable power curtailment considering network power flows: a distributionally robust optimisation approach

Unit commitment using improved adjustable robust optimisation for large-scale new energy power stations

Multi-objective optimisation of generation maintenance scheduling in restructured power systems based on global criterion method

Distributionally robust multi-period energy management for CCHP-based microgrids

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

Robust optimisation for AC–DC power flow based on second-order cone programming

Operation window constrained strategic energy management of microgrid with electric vehicle and distributed resources

Data-driven distributionally robust reserve and energy scheduling over Wasserstein balls