Optimal planning and design of a renewable energy based supply system for microgrids

Hafez, Omar; Bhattacharya, Kankar

doi:10.1016/j.renene.2012.01.087

Optimal planning and design of a renewable energy based supply system for microgrids

Journal Article · Sat Mar 03 00:00:00 EST 2012 · Renewable Energy

DOI:https://doi.org/10.1016/j.renene.2012.01.087· OSTI ID:1221745

Hafez, Omar ^[1]; Bhattacharya, Kankar ^[1]

Brookhaven National Lab. (BNL), Upton, NY (United States)

This paper presents a technique for optimal planning and design of hybrid renewable energy systems for microgrid applications. The Distributed Energy Resources Customer Adoption Model (DER-CAM) is used to determine the optimal size and type of distributed energy resources (DERs) and their operating schedules for a sample utility distribution system. Using the DER-CAM results, an evaluation is performed to evaluate the electrical performance of the distribution circuit if the DERs selected by the DER-CAM optimization analyses are incorporated. Results of analyses regarding the economic benefits of utilizing the optimal locations identified for the selected DER within the system are also presented. The actual Brookhaven National Laboratory (BNL) campus electrical network is used as an example to show the effectiveness of this approach. The results show that these technical and economic analyses of hybrid renewable energy systems are essential for the efficient utilization of renewable energy resources for microgird applications.

View Accepted Manuscript (DOE)

Research Organization:: Brookhaven National Laboratory (BNL), Upton, NY (United States)

Sponsoring Organization:: USDOE Office of Electricity Delivery and Energy Reliability (OE)

OSTI ID:: 1221745

Report Number(s):: BNL--108287-2015-JA; TE1201000

Journal Information:: Renewable Energy, Journal Name: Renewable Energy Journal Issue: C Vol. 45; ISSN 0960-1481

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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Optimal planning and design of a renewable energy based supply system for microgrids

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References (12)

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