NDLI: Flexible consumption of wind power in short-term electricity market

Content Provider	IEEE Xplore Digital Library
Author	Chao Du Xifan Wang Chengcheng Shao Yunpeng Xiao Can Dang
Copyright Year	2014
Description	Author affiliation: Dept. of Electr. Eng., Xi'an Jiaotong Univ., Xi'an, China (Chao Du; Xifan Wang; Chengcheng Shao; Yunpeng Xiao; Can Dang)
Abstract	Wind power as a main force of renewable energy has been developing rapidly in recent years. With the increasing of penetration, wind power participating in electricity market becomes inevitable. Although structures of electricity market are varied in different countries, almost all of electricity markets organize forward market and regulation market in common. In this paper, a flexible consumption methodology in short-term market with considering shifting load, competitive market and price risk was proposed and a two-stage optimization decision model was formulated. Firstly, wind producer decides parts of reliable bidding power in forward market by optimal strategies. Secondly, with the improving of wind power prediction over time, the decision of actual energy allocation between competitive market and shifting load was made according to the rolling updated data. Uncertainty of spot price risk was also considered in the paper. Case study proved that the methodology proposed in this paper can further increase revenues, reduce spillage, and enhance competitiveness of wind power generation.
Starting Page	257
Ending Page	262
File Size	3611000
Page Count	6
File Format	PDF
ISBN	9781479950324
DOI	10.1109/POWERCON.2014.6993598
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-20
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wind power generation Wind forecasting Electricity supply industry Reliability Economics Power demand two-stage decision Electricity market flexible consumption wind power shifting load
Content Type	Text
Resource Type	Article

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

Demand response and market performance in power economics

Very short-term electricity load demand forecasting using support vector regression

An Artificial Neural Network Approach for Short-Term Electricity Prices Forecasting

Aggregation and management of the demand in a deregulated electricity market

Neural network models to predict short-term electricity prices and loads

A fuzzy-neural approach to electricity load and spot-price forecasting in a deregulated electricity market

Neural Networks and Wavelet Transform for Short-Term Electricity Prices Forecasting

Modifying Market Rules to Accommodate High Penetrations of Wind Energy

An economic effect of demand response with Thermal Storage Air-conditioning systems in electricity markets

Flexible consumption of wind power in short-term electricity market

Similar Documents

Demand response and market performance in power economics

Very short-term electricity load demand forecasting using support vector regression

An Artificial Neural Network Approach for Short-Term Electricity Prices Forecasting

Aggregation and management of the demand in a deregulated electricity market

Neural network models to predict short-term electricity prices and loads

A fuzzy-neural approach to electricity load and spot-price forecasting in a deregulated electricity market

Neural Networks and Wavelet Transform for Short-Term Electricity Prices Forecasting

Modifying Market Rules to Accommodate High Penetrations of Wind Energy

An economic effect of demand response with Thermal Storage Air-conditioning systems in electricity markets

Flexible consumption of wind power in short-term electricity market