This paper introduces the evolution and development of microgrids and related smart grid development based on plans by the national government, local governments, and power companies during the last 10 years in Korea, and presents the results of and prospects for microgrid development in Korea. Contact online >>
This paper introduces the evolution and development of microgrids and related smart grid development based on plans by the national government, local governments, and power companies during the last 10 years in Korea, and presents the results of and prospects for microgrid development in Korea.
Our argument will be that Korea has a pragmatic and business-oriented green strategy (like Taiwan or China) that involves promoting new home-grown microgrid systems, involving a broad range of Korean companies such as LSIS and Samsung SDI as well as the state-owned power utility KEPCO.
POLICY DRIVERS AND PROMOTION LAW FOR SMART GRID IN KOREA The Korean government announced its CO2 reduction target for 2020. Among the three options it had considered, Seoul chose the most stringent goal of cutting greenhouse gas (GHG) emissions that represents a 30% reduction from the estimated level of 2020.
South Korea''s Experience with Smart Infrastructure Services: Smart Grids In Chapter 3, this paper will present a case study of an island microgrid in order to exemplify the key smart grid application.
Microgrids offer several benefits, including reduced carbon emissions through renewable energy, lower energy costs, and a reliable, uninterrupted power supply. Academic campuses have complex load patterns due to their mix of educational, commercial, and residential buildings.
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Choi, Y.-J.; Oh, B.-C.; Acquah, M.A.; Kim, D.-M.; Kim, S.-Y. Optimal Operation of a Hybrid Power System as an Island Microgrid in South-Korea. Sustainability 2021, 13, 5022. https://doi /10.3390/su13095022
Choi Y-J, Oh B-C, Acquah MA, Kim D-M, Kim S-Y. Optimal Operation of a Hybrid Power System as an Island Microgrid in South-Korea. Sustainability. 2021; 13(9):5022. https://doi /10.3390/su13095022
Choi, Yeon-Ju, Byeong-Chan Oh, Moses Amoasi Acquah, Dong-Min Kim, and Sung-Yul Kim. 2021. "Optimal Operation of a Hybrid Power System as an Island Microgrid in South-Korea" Sustainability 13, no. 9: 5022. https://doi /10.3390/su13095022
Choi, Y. -J., Oh, B. -C., Acquah, M. A., Kim, D. -M., & Kim, S. -Y. (2021). Optimal Operation of a Hybrid Power System as an Island Microgrid in South-Korea. Sustainability, 13(9), 5022. https://doi /10.3390/su13095022
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To combat global warming, substituting RESs for fossil fuels is more beneficial to the island regions of the earth. As global warming continues, oceans rise, and islands disappear1. On the other hand, energy storage systems (ESS) mitigate the random nature of RESs, allowing microgrid power networks to take over the island''s power supply without relying on central power plants2,3.
Providing a convex problem arrangement of Gasa island EMS considering DR and load flow constraints to make profits for consumers and the utility grid.
Arrangement of a SAC-based solution to estimate the penalty parameter of ADMM to support the high-dimension and complex problem of Gasa island EMS.
Solving sparse reward hindrance with a less computational burden on the learning process of SAC algorithm by arranging high-density action space with the NFP approach.
Exploration of less dependency on conventional generators and acquisition costs with DR implementation.
The remainder of this paper is organized as follows. By specifying the objective function and microgrid elements constraints, "Problem formulation" section formulates the problem. "Proposed method" section represents the solution method, and "Results and discussion" section investigates the novelty of the proposed solution by analysis of the results and compare with benchmark methods. Later on, "Conclusion" section discloses the most relevant conclusions of our work.
In this paper, we consider two scenarios for the EMS arrangement of the Gasa island microgrid. The first scenario includes photovoltaic cells (PV), wind turbines (WT), DGs, ESSs, and loads, as shown in Fig. 1. In the second scenario, we schedule the DR for the residential load to decrease the peak-average ratio. This approach reduces DG consumption and carbon emission production, making the green island a more practical objective. Consequently, we define the objective function of the Gasa island microgrid as minimizing power generation costs for the first scenario, and we enhance that by attaching minimization of power consumption cost for consumers through DR implementation. We formulate the objective function of the Gasa island microgrid, considering two scenarios as follows.
where i: The number of generation units; j: The number of loads; T: The time period of optimization; (c^g): The cost of power generation (KRW); (P^g): The amount of power generation (kW); (c^s): The cost of start-up and shut-down of conventional power generation units (KRW); (u^s): Conventional power generation units on/off status; (P^L): The amount of power consumption (kW); price: The price of load power consumption (KRW).
Gasa island microgrid structure.
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