NDLI: Applying multiple types of demand response to optimal day-ahead stochastic scheduling in the distribution network

Content Provider	IET Digital Library
Author	Yang, Jie Gao, Hongjun Ye, Shengyong Lv, Lin Liu, Youbo Liu, Junyong
Abstract	With the increasing power demand of end-users, demand side management has been an important resource to been applied to the optimal day-ahead scheduling of distribution network. This work deeply studies the mechanism of multi-type demand response projects participating in load management. The authors particularly design the novel compensation mechanisms of interruptible load (IL) and transferable load (TL). The step-wise price-quantity offer package including basic response stage and elastic stages is devised for IL while the two-dimensional alternating function based on transferable time and transferable capacity is set up to quantify the load shifting cost for TL. To model uncertainties of distributed generation output power and response behaviour of end-users, a large number of stochastic scenarios are generated by the Monte Carlo method and Latin Hypercube Sampling and clustered into some typical scenarios by K-means method. Then, the optimal day-ahead stochastic scheduling model of the distribution network is proposed based on the obtained typical scenarios. In addition, three indexes including the contribution degree, confidence degree and strategy confidence degree are put forward to evaluate the rationality of the scheduling decision. Finally, the numerical results on the IEEE 33-bus network verify the effectiveness of the proposed model.
Starting Page	4509
Ending Page	4519
Page Count	11
ISSN	17518687
Volume Number	14
e-ISSN	17518695
Issue Number	Issue 20, Oct (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/14/20
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2020.0158
Journal	IET Generation, Transmission & Distribution
Publisher Date	2020-07-29
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Basic Response Stage Demand Side Management Distributed Generation Output Power Distribution Network Elastic Stages IEEE 33-bus Network Verify Important Resource Increasing Power Demand Load Management Load Shifting Cost Monte Carlo Method Multitype Demand Response Projects Novel Compensation Mechanisms Optimal Day-ahead Scheduling Power System Economics Power System Managemen Power System Operation Pricing Response Behaviour Scheduling Scheduling Decision Scheduling Model Step-wise Price-quantity Offer Package Stochastic Linearised SCUC Stochastic Programming Stochastic Scenario Strategy Confidence Degree Transferable Capacity Transferable Load Transferable Time Two-dimensional Alternating Function
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

Heuristic approach for transactive energy management in active distribution systems

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

Integrated energy hub system based on power-to-gas and compressed air energy storage technologies in the presence of multiple shiftable loads

Bi-level two-stage stochastic SCUC for ISO day-ahead scheduling considering uncertain wind power and demand response

Hourly demand response in day-ahead scheduling for managing the variability of renewable energy

Day-Ahead and Intra-Day Optimal Scheduling of Integrated Energy System Considering Uncertainty of Source & Load Power Forecasting

Multiple DRPs to maximise the techno-economic benefits of the distribution network

Optimal stochastic scheduling of thermal-wind GENCOs trading in the day-ahead market including bilateral contracts with BSS

Optimal day-ahead operation of user-level integrated energy system considering dynamic behaviour of heat loads

Applying multiple types of demand response to optimal day-ahead stochastic scheduling in the distribution network

Similar Documents

Heuristic approach for transactive energy management in active distribution systems

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

Integrated energy hub system based on power-to-gas and compressed air energy storage technologies in the presence of multiple shiftable loads

Bi-level two-stage stochastic SCUC for ISO day-ahead scheduling considering uncertain wind power and demand response

Hourly demand response in day-ahead scheduling for managing the variability of renewable energy

Day-Ahead and Intra-Day Optimal Scheduling of Integrated Energy System Considering Uncertainty of Source & Load Power Forecasting

Multiple DRPs to maximise the techno-economic benefits of the distribution network

Optimal stochastic scheduling of thermal-wind GENCOs trading in the day-ahead market including bilateral contracts with BSS

Optimal day-ahead operation of user-level integrated energy system considering dynamic behaviour of heat loads

Applying multiple types of demand response to optimal day-ahead stochastic scheduling in the distribution network