A study on the estimation method of daily load curve for the optimization design and economic evaluation of stand-alone microgrids based on homer simulation in off-grid limiting the supply of electricity
- Authors
- Nam, Yong-hyun; Y.-H.; Youn, Seok-min; S.-M.; Kim, Jung-hoon; J.-H.; Hwang; S.-W.
- Issue Date
- 2019
- Publisher
- Korean Institute of Electrical Engineers
- Keywords
- Daily load curve; HOMER; Linear regression; Load composition ratio; Microgrid; Off-grid; Quadratic programming
- Citation
- Transactions of the Korean Institute of Electrical Engineers, v.68, no.1, pp.27 - 35
- Journal Title
- Transactions of the Korean Institute of Electrical Engineers
- Volume
- 68
- Number
- 1
- Start Page
- 27
- End Page
- 35
- URI
- https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/12696
- DOI
- 10.5370/KIEE.2019.68.1.27
- ISSN
- 1975-8359
- Abstract
- - There is a growing interest in various microgrid solutions that supply electricity 24 hours a day to off-grid areas where are not connected with the main grid, and Korea has many positive effects by constructing overseas microgrids as a country operating the emission trading scheme. Since it is not clear how to obtain load curves that is one of the inputs of the HOMER used to design a microgrid optimization plan, or it is necessary to examine whether electricity is supplied to the peak load level of the areas where have not received the electricity benefits from the viewpoint of the demand management, a methodology should be developed to know the load composition ratio and the shape of the daily load curve. In this paper, the relative coefficient and average load information for each load group obtained from the survey are used besides peak load and total average load. A mathematical model is proposed to derive the load composition ratio in the form of a Quadratic Programming and the load forecasting is performed using simple linear regression with future indicators. The effectiveness of the proposed method is confirmed for the Philippine island region supported by Korea Energy Agency and the Asian Development Bank. © The Korean Institute of Electrical Engineers.
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