Design, Operation, and Controlled-Island Operation of the U.S. Department of Energy Solar Decathlon 2013 Microgrid

Kurnik, Charles W.; Butt, R.; Metzger, Ian; Lavrovа, Olga; Patibandla, Siva Tharun; Wagner, V.E.; Frankosky, M.; Wiegand, G.

doi:10.2172/1215031

Cited by 1 publication

(1 citation statement)

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“…Usually, the larger the energy storage capacity, the higher the price, so it is important to determine the installation capacity of the new renewable energy generation system and ESSs considering local climate and load conditions in the installation area [4]. The imbalance between energy production and demand caused by a faulty design of energy systems, such as a microgrid, makes it difficult to install optimized system capacity, thus increasing the energy production costs [5,6].…”

Section: Introductionmentioning

confidence: 99%

Estimation of Load Pattern for Optimal Planning of Stand-Alone Microgrid Networks

et al. 2018

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This paper proposes a method for estimating the load pattern for optimal planning of stand-alone renewable microgrids and verifies when the basic data for microgrid design are limited. To estimate a proper load pattern for optimal microgrid design when the data obtained in advance are insufficient, the least squares method is used to compare the similarity of annual power consumption between the subject area and eight islands in Korea whose actual load patterns were previously obtained. Similarity is compared in terms of annual (every month), seasonal, bi-monthly, and monthly averages. To verify the validity of the proposed estimation method, the applied proposed estimation method is used for two islands that have already installed a microgrid consisting of photovoltaic, wind power, energy storage systems, and diesel generators. In comparing the actual data from the two islands, the costs of electricity in terms of microgrid operations show improvements of 37.2% and 29.8%, respectively.

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Section: Introductionmentioning

confidence: 99%