Design and economic analysis of energy storage optimization allocation for campus microgrid

In the twenty-first century, the "double carbon" plan is advancing steadily. Energy saving and emission reduction is one of the key points of the plan. A power grid independent park, if energy storage equipment can be configured, it can greatly improve the park microgrid power utilization, in order to achieve the purpose of energy saving. Therefore, research on the optimization of the proportion of power grid and microgrid in the park and the optimization of the configuration of energy storage devices can greatly improve the energy utilization rate, so as to achieve the significance of environmental protection. After collecting and sorting the daily load, daily wind power generation and 12-month daily wind power generation data of the three parks A, B and C, and processing the data, a linear function model is established. After using linear programming, operations research and genetic algorithm, the research results are obtained when the three parks are combined and equipped with 50kW/100kWh energy storage devices.

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Publication Details

Journal
Transactions on Computer Science and Intelligent Systems Research
Published
2024-10-17
DOI
https://doi.org/10.62051/1dyk6c31
Primary Topic
Power Systems and Renewable Energy
Type
article
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article

Design and economic analysis of energy storage optimization allocation for campus microgrid

Zhihua Deng
Transactions on Computer Science and Intelligent Systems Research
Power Systems and Renewable Energy
article

Design and economic analysis of energy storage optimization allocation for campus microgrid

Zhihua Deng
article en

Abstract

In the twenty-first century, the "double carbon" plan is advancing steadily. Energy saving and emission reduction is one of the key points of the plan. A power grid independent park, if energy storage equipment can be configured, it can greatly improve the park microgrid power utilization, in order to achieve the purpose of energy saving. Therefore, research on the optimization of the proportion of power grid and microgrid in the park and the optimization of the configuration of energy storage devices can greatly improve the energy utilization rate, so as to achieve the significance of environmental protection. After collecting and sorting the daily load, daily wind power generation and 12-month daily wind power generation data of the three parks A, B and C, and processing the data, a linear function model is established. After using linear programming, operations research and genetic algorithm, the research results are obtained when the three parks are combined and equipped with 50kW/100kWh energy storage devices.

Transactions on Computer Science and Intelligent Systems ResearchVol. 6
Affordable and clean energy
Openalex Percentile: Top 83%
Power Systems and Renewable Energy
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Design and economic analysis of energy storage optimization allocation for campus microgrid — Zhihua Deng · Transactions on Computer Science and Intelligent Systems Research (2024) | TGRS Research Map | TGRS