Optimal regulation on micro energy grid based on time-shifting agricultural load

Wang, Weizhou; Liu, Fuchao; Zheng, Jian; Yong, Yanf; Zhang, Jianhua; Yang, Jianhua; Jing, Tianjun

doi:10.1109/ei2.2017.8244412

Cited by 2 publications

(6 citation statements)

References 2 publications

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“…In addition, it improves the local consumption of photovoltaic power effectively and reduces the cost of farmers. 3 For other polymorphic source-storage-load micro-integrated energy systems with similar configurations, the models proposed in this paper are equally applicable. In addition, this paper is an energy optimal scheduling of the interior of the greenhouse.…”

Section: Discussionmentioning

confidence: 98%

“…where c air is the air specific heat capacity coefficient, kWh / (kg· • C); V is the internal volume of the greenhouse, m 3 ; N air is the number of air changes per hour; r air is the bulk density of air under outdoor temperature condition, kg/m 3 ; T in,t+1 and T out,t are same as (21). 3 The thermal exergy loss of ground heat transfer The thermal exergy loss of ground heat transfer is caused by the temperature difference between inside and outside the greenhouse. It is mainly the thermal exergy loss of indoor soil near the outer wall.…”

Section: The Thermal Exergy Loss Of Air Infiltrationmentioning

confidence: 99%

“…They couple multiple energy sources such as electric energy and thermal energy to achieve synergy between the multiple sources [1]. At present, integrated energy systems are commonly used in park-type integrated energy systems, household-type micro-integrated energy systems, photovoltaic greenhouse micro-integrated energy systems derived from the background of poor photovoltaic alleviation [2][3][4] and so on. Generally, the photovoltaic greenhouse micro-integrated energy system includes electric energy, thermal energy, potential energy and so on.…”

Section: Introductionmentioning

confidence: 99%

“…In some remote rural areas, solar energy resources are relatively abundant. However, due to the lack of long-distance transmission channels for electric energy and the saturation of the main network for new energy consumption, local consumption of photovoltaic power is particularly important [3,4]. Therefore, how to analyze the energy of micro-integrated energy systems to respond to the change rules of the output power of T h,0 ]…”

Section: Introductionmentioning

confidence: 99%

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Analysis of the Day-ahead Deviation Plan and Research on the Real-time Scheduling of Photovoltaic Greenhouses Based on Exergy Theory

Duan

Ding²,

Niu

et al. 2019

Energies

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For the correction problem of day-ahead plan deviation caused by energy prediction deviation in day-ahead scheduling stage of photovoltaic greenhouses, an exergy analysis method is used to propose the deviation model of heat required for photovoltaic greenhouses. Based on the deviation model, a real-time optimization scheduling model is established. The deviation model not only considers the non-negligible exergy loss during heating process of pipes, but also considers the difference between heat and thermal exergy affected by the actual indoor temperature. The goal of the real-time scheduling model is to minimize the absolute value of the difference between the energy supply and demand prediction deviation to be corrected and the adjustment of multi-form energy storage and electric loads, so that develop the real-time adjustment plan of energy storage and electric loads. The analysis results of the actual photovoltaic greenhouse show that of the heat required by a greenhouse based on the exergy theory calculation, the exergy loss of the heating process accounts for about 10%–20% of the total thermal exergy required and it cannot be ignored, so the calculation results can reflect the actual heat required more accurately and the greenhouse temperature is more suitable for plant growth. Moreover, the proposed real-time scheduling model can correct the deviation of the day-ahead plan and improve local consumption. The promotion ratio can reach 7%. Finally, the farmers’ electricity purchases cost is reduced. Thereby the effectiveness of the proposed heat deviation model and real-time scheduling model is verified.

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Section: Discussionmentioning

confidence: 98%

Section: The Thermal Exergy Loss Of Air Infiltrationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Analysis of the Day-ahead Deviation Plan and Research on the Real-time Scheduling of Photovoltaic Greenhouses Based on Exergy Theory

Duan

Ding²,

Niu

et al. 2019

Energies

View full text Add to dashboard Cite

show abstract

“…It characterizes the nonlinear and time-varying correlation between natural ventilation and temperature, and realizes adaptive control of loads using the identification toolbox. From the characteristics of an agricultural greenhouse, [21] analyzes the time-lapse characteristics of agricultural loads, and establishes the electricity, heat and multi-energy scheduling model of microgrids for economic operation. [22] proposes a solar soil heat storage system for greenhouse heating, one which uses the solar energy stored in greenhouse soil to heat the greenhouse, so as to reduce the energy demand of temperature-controlled loads in extreme weather and alleviate the heat supply and demand imbalance in summer and winter.…”

mentioning

confidence: 99%

Regulation Flexibility Assessment and Optimal Aggregation Strategy of Greenhouse Loads in Modern Agricultural Parks

Xia,

Cai,

Tong

et al. 2024

Prot. Control Mod. Power Syst.

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With advances in modern agricultural parks, the rural energy structure has undergone profound change, leading to the emergence of an agricultural energy internet. This integrated system combines agricultural energy utilization, the information internet, and agricultural production. Accordingly, this study proposes a regulation flexibility assessment approach and optimal aggregation strategy of greenhouse loads (GHLs) for modern agricultural parks. First, taking into ac-count the operational characteristics of typical GHLs, refined load demand models for lighting, humidification, and temperature-controlled loads are established. Secondly, the recursive least squares method-based parameter identification method is designed to accurately determine key GHL model parameters. Finally, based on the regulation flexibility of quantitatively evaluated GHLs, GHLs are optimally aggregated into multiple flexible aggregators considering minimal operational cost and greenhouse environmental constraints. The results indicate that the proposed regulation flexibility assessment approach and optimal aggregation strategy of GHLs can alleviate the peak regulation pressure on power grids by flexibly shifting the load demands of GHLs.

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Optimal regulation on micro energy grid based on time-shifting agricultural load

Cited by 2 publications

References 2 publications

Analysis of the Day-ahead Deviation Plan and Research on the Real-time Scheduling of Photovoltaic Greenhouses Based on Exergy Theory

Analysis of the Day-ahead Deviation Plan and Research on the Real-time Scheduling of Photovoltaic Greenhouses Based on Exergy Theory

Regulation Flexibility Assessment and Optimal Aggregation Strategy of Greenhouse Loads in Modern Agricultural Parks

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