Modelling of agricultural energy internet considering the integration of planting industry and new energy

Fu, Xueqian; Wei, Zhihui; Yang, Feifei; Bai, Jian‐Fei; Gou, Tong

doi:10.3389/fenrg.2022.998493

Cited by 4 publications

(1 citation statement)

References 13 publications

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“…Therefore, the last column in Table 2 is the weight values of the three indicators, which are 0.2342,0.4810 and 0.2848 respectively. On this basis, the multi-objective linear weighting method is applied for the linear weighting treatment of the above three indexes to establish a new single objective F as the final objective of this analysis.Based on the above conditions, the natural selection-based particle swarm algorithm (Particle Swarm Optimization, PSO) is used to solve the demand response strategy model [5] .…”

Section: Solution Methods Designmentioning

confidence: 99%

Research on hybrid energy storage and demand response strategy of high proportion solar energy microgrid

2023

AJCIS

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In response to the impact of the increasing proportion of new energy generation in the current microgrid, the application of hybrid energy storage devices to optimize and adjust such microgrids has become a trend. Based on this, the article conducts research on microgrid systems containing a high proportion of wind and photovoltaic power generation, introduces energy storage systems to optimize the microgrid on the existing basis, and determines peak shaving and valley filling, reducing operation and maintenance costs, and reducing electricity costs as the main optimization objectives. Using multi-objective analysis methods for modeling and analysis, targeted optimization of demand response strategies is carried out. From the simulation analysis results, it can be seen that the optimization strategy has basically achieved the expected goals, indicating that this study has potential application value.It is expected to be gradually promoted and applied in the subsequent construction of microgrids.

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Section: Solution Methods Designmentioning

confidence: 99%

Research on hybrid energy storage and demand response strategy of high proportion solar energy microgrid

2023

AJCIS

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Key technologies and applications of agricultural energy Internet for agricultural planting and fisheries industry

Niu

2023

Information Processing in Agriculture

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Modeling of comprehensive power load of fishery energy internet considering fishery meteorology

Gou

2023

Information Processing in Agriculture

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Modelling of agricultural energy internet considering the integration of planting industry and new energy

Cited by 4 publications

References 13 publications

Research on hybrid energy storage and demand response strategy of high proportion solar energy microgrid

Research on hybrid energy storage and demand response strategy of high proportion solar energy microgrid

Key technologies and applications of agricultural energy Internet for agricultural planting and fisheries industry

Modeling of comprehensive power load of fishery energy internet considering fishery meteorology

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