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

Author

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  • Chang Koo Lee

    (Energy Technology Demonstration Division, Korea Institute of Energy Technology Evaluation and Planning, 114 Gil, 14 Teheran, Gangnam, Seoul 06175, Korea)

  • Byeong Gwan Bhang

    (Department of Electrical Engineering, Konkuk University, 120 Neungdong, Gwangjin, Seoul 05029, Korea)

  • David Kwangsoon Kim

    (Department of Electrical Engineering, Konkuk University, 120 Neungdong, Gwangjin, Seoul 05029, Korea)

  • Sang Hun Lee

    (Energy Technology Demonstration Division, Korea Institute of Energy Technology Evaluation and Planning, 114 Gil, 14 Teheran, Gangnam, Seoul 06175, Korea)

  • Hae Lim Cha

    (Department of Electrical Engineering, Konkuk University, 120 Neungdong, Gwangjin, Seoul 05029, Korea)

  • Hyung Keun Ahn

    (Department of Electrical Engineering, Konkuk University, 120 Neungdong, Gwangjin, Seoul 05029, Korea)

Abstract

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.

Suggested Citation

  • Chang Koo Lee & Byeong Gwan Bhang & David Kwangsoon Kim & Sang Hun Lee & Hae Lim Cha & Hyung Keun Ahn, 2018. "Estimation of Load Pattern for Optimal Planning of Stand-Alone Microgrid Networks," Energies, MDPI, vol. 11(8), pages 1-16, August.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:8:p:2012-:d:161540
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    References listed on IDEAS

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    1. Woo-Kyu Chae & Hak-Ju Lee & Jong-Nam Won & Jung-Sung Park & Jae-Eon Kim, 2015. "Design and Field Tests of an Inverted Based Remote MicroGrid on a Korean Island," Energies, MDPI, vol. 8(8), pages 1-18, August.
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    Cited by:

    1. Min Lu & Yu Chen & Debin Zhang & Jingyuan Su & Yong Kang, 2019. "Virtual Synchronous Control Based on Control Winding Orientation for Brushless Doubly Fed Induction Generator (BDFIG) Wind Turbines Under Symmetrical Grid Faults," Energies, MDPI, vol. 12(2), pages 1-12, January.

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