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.
Highlights
With recent concerns regarding large-scale centralized power supply systems using fossil fuels, such as non-sustainability, safety, environmental pollution, and accelerating climate change, new technologies are being developed to replace existing fossil fuels [1]
To verify the reliability of the power load modeling methods proposed above, the results of an optimal new and renewable energy combination, which is calculated by applying the load patterns estimated from the four proposed methods for the existing eight islands, and those of the microgrid design obtained by applying the actual load pattern, are compared
To reflect the difficulty of obtaining the necessary information in the design of microgrids, a system with interdisciplinary integration convergence was designed with limited information such as the load patterns of eight islands, for the first time, with assistance based on big data treatment
Summary
With recent concerns regarding large-scale centralized power supply systems using fossil fuels, such as non-sustainability, safety, environmental pollution, and accelerating climate change, new technologies are being developed to replace existing fossil fuels [1]. The most effective form of policy shift from this expansion of centralized power supply toward distributed power, focusing on improvement in efficiency and demand management, is a microgrid, which connects renewable energy sources such as solar power, wind power, and energy storage systems (ESSs). As solar and wind power generation are complementary to each other in this microgrid, effective power production and load response are possible [2,3]. This paper, proposes a method of designing a microgrid using limited data based only on the monthly power generation of the island. The load estimation method in this study is expected to reduce power generation costs by optimizing the design of a microgrid on an island area through a simple process based only on the monthly power generation of the island. Several case applications are used to validate the newly proposed method
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