NDLI: Dispatch of distributed energy resources to provide energy and reserve in smart grids using a particle swarm optimization approach

Content Provider	IEEE Xplore Digital Library
Author	Faria, P. Soares, T. Pinto, T. Sousa, T.M. Soares, J. Vale, Z. Morais, H.
Copyright Year	2013
Description	Author affiliation: GECAD - Knowledge Eng. & Decision Support Res. Center, IPP - Polytech. Inst. of Porto, Porto, Portugal (Faria, P.; Soares, T.; Pinto, T.; Sousa, T.M.; Soares, J.; Vale, Z.; Morais, H.)
Abstract	The smart grid concept is a key issue in the future power systems, namely at the distribution level, with deep concerns in the operation and planning of these systems. Several advantages and benefits for both technical and economic operation of the power system and of the electricity markets are recognized. The increasing integration of demand response and distributed generation resources, all of them mostly with small scale distributed characteristics, leads to the need of aggregating entities such as Virtual Power Players. The operation business models become more complex in the context of smart grid operation. Computational intelligence methods can be used to give a suitable solution for the resources scheduling problem considering the time constraints. This paper proposes a methodology for a joint dispatch of demand response and distributed generation to provide energy and reserve by a virtual power player that operates a distribution network. The optimal schedule minimizes the operation costs and it is obtained using a particle swarm optimization approach, which is compared with a deterministic approach used as reference methodology. The proposed method is applied to a 33-bus distribution network with 32 medium voltage consumers and 66 distributed generation units.
Starting Page	51
Ending Page	58
File Size	632950
Page Count	8
File Format	PDF
ISBN	9781467360029
ISSN	23267690
DOI	10.1109/CIASG.2013.6611498
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-04-16
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Network simulation Virtual power player Energy resources Electricity Generators Demand response Smart grids Mathematical model Distribution network Particle swarm optimization Equations Business
Content Type	Text
Resource Type	Article

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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
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