NDLI: Research on peak shaving costs and allocation of wind power integration using scalable computing method

Content Provider	Springer Nature Link
Author	Dong, Jun Xue, Guiyuan Li, Rong Cai, Hongxin
Copyright Year	2017
Abstract	As the development of wind power, especially the planning and construction of large-scale wind power base, doing research on acceptance capacity for wind power and auxiliary services recovering mechanism of wind power integration. Improved auxiliary services recovering mechanism plays a very important role in improving grid acceptance, reducing abandoned wind power and improving economic efficiency of wind power. An alternative approach is to compensate those conventional units providing support services for wind power units. Ancillary services caused by wind power integration include peak shaving, frequency modulation, automatic generation control (AGC), reserve, reactive power regulation and black startup. In this paper, we consider peak shaving, the peak shaving costs caused by wind power integration is quantified and the applicability of cooperative method on peak shaving costs apportion. A numerical example is accepted to analyze the energy consumption increments of thermal power units. Also, we use Shapley allocation method to determine the peak shaving costs recovering for each unit caused by wind power integration. The results tend to be a reference for peak shaving costs allocation for conventional units after wind power integration.
Starting Page	391
Ending Page	400
Page Count	10
File Format	PDF
ISSN	13867857
Journal	Cluster Computing
Volume Number	20
Issue Number	1
e-ISSN	15737543
Language	English
Publisher	Springer US
Publisher Date	2017-01-12
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Wind power integration Peak shaving costs Cost recovering Costs allocation Shapley allocation method Processor Architectures Operating Systems Computer Communication Networks
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Software

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

A Synchronous Co-Allocation Mechanism for Grid Computing Systems

Design and Development of a Scalable Distributed Debugger for Cluster Computing

Green flexible opportunistic computing with task consolidation and virtualization

Power-aware resource allocation in computer clusters using dynamic threshold voltage scaling and dynamic voltage scaling: comparison and analysis

Autonomic power and performance management for computing systems

CHERUB: power consumption aware cluster resource management

A Framework for Adaptive Cluster Computing Using JavaSpaces

Cluster Computing – Editorial Organization

The Autonomic Computing Paradigm

Research on peak shaving costs and allocation of wind power integration using scalable computing method

Similar Documents

A Synchronous Co-Allocation Mechanism for Grid Computing Systems

Design and Development of a Scalable Distributed Debugger for Cluster Computing

Green flexible opportunistic computing with task consolidation and virtualization

Power-aware resource allocation in computer clusters using dynamic threshold voltage scaling and dynamic voltage scaling: comparison and analysis

Autonomic power and performance management for computing systems

CHERUB: power consumption aware cluster resource management

A Framework for Adaptive Cluster Computing Using JavaSpaces

Cluster Computing – Editorial Organization

The Autonomic Computing Paradigm

Research on peak shaving costs and allocation of wind power integration using scalable computing method