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A Literature Survey of Optimization Technique of Unit Commitment Implementation in Microgrid Electricity System with Renewable Energy Sources
Rendroyoko I.a, Sinisuka N.I.a, Koesrindartoto D.P.a
a Institute Technology of Bandung, School of Electrical Engineering and Informatics, Bandung, 40132, Indonesia
[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]© 2019 IEEE.In recent years, efforts to build electricity supplies for islands and remote areas have been carried out by developing renewable energy sources (RES) and integrated into existing electrical systems. For this reason, it is necessary to apply a method of regulating electricity supply. Unit Commitment (UC) is daily scheduling of power generation units to achieve optimization goals while still meeting various operational, environmental, and technical constraints. With a significant increase of the operation of the RES intermittent power plant in the power system, the development of the UC method becomes more necessary, to maintain system stability and resilience, and minimum operating costs. Therefore, new optimization methods need to be developed to be applied to the UC scheme for microgrid electric power systems.This paper discusses alternative optimization methods to optimize UC solutions in microgrid power systems with intermittent RES plant. In this paper, a comparison of the strengths and weaknesses of each optimization technique is discussed, with the intent and purpose of finding the most appropriate optimization technique to utilize. The problem in the UC scheme has been studied by experts using numbers of methods. The combination of mathematical techniques and stochastic / meta-heuristic techniques is proven to provide better optimization solutions. This study is aimed at optimizing UC in electric power systems with intermittent RES power plants. In particular, the power system under study is a developing electricity system, for islands or remote areas. The proposed method is the enrichment of existing optimization techniques, with additional innovations in analytical methods to improve the performance of the UC schemes applied to the microgrid system.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text]intermittent,Micro grid,Optimization techniques,Renewable energy source,Solar photovoltaics,Unit-commitment[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text]dynamic programming,genetic algorithm,intermittent,microgrid,optimization techniques,renewable energy sources,solar photovoltaic,Unit commitment,wind energy[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text]https://doi.org/10.1109/ICHVEPS47643.2019.9011080[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]