Optimal Operation of Greenhouses in Microgrids Perspective

Hussain, Akhtar; Choi, Il-Seok; Im, Yong Hoon; Kim, Hak-Man

doi:10.1109/tsg.2018.2828942

Cited by 36 publications

(11 citation statements)

References 27 publications

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“…It is assumed that the agricultural loads in rural microgrid is mainly composed of greenhouses. In a typical greenhouse, energy consumption is related to temperature, humidity, light and carbon dioxide (CO 2 ) concentration [29,30]. The greenhouse model is shown in Figure 3.…”

Section: Model Of Agricultural Loadsmentioning

confidence: 99%

Research on Optimized Energy Scheduling of Rural Microgrid

et al. 2019

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This paper introduces a new rural microgrid model, including residents and agricultural greenhouses. Based on the new model framework, the precise energy scheduling of a rural microgrid is realized by means of load classification and load forecasting. Moreover, we also adopt a new energy-storage mode, cloud energy storage (CES), as the shared energy-storage unit of rural microgrid, and analyze the service and operation mechanism of CES in detail. The shared storage characteristic and adjustable storage capacity of CES are helpful for the precise management of power dispatching. At the same time, in order to accurately implement energy scheduling, we fully consider the load characteristics of rural areas and divide the load into residential load and agricultural load. Then the extreme gradient boosting (XGBoost) algorithm is used to predict the short-term power consumption of the two types of load respectively, which can effectively alleviate the uncertainty of load power consumption and improve the accuracy of scheduling. Finally, an illustrative example of rural energy scheduling is given. The example studies the impact of energy-storage capacity on the cost of the scheduling scheme, and designs a power-dispatching scheme based on load forecasting, which accurately solves the energy charging and discharging planning and grid energy trading planning.

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Section: Model Of Agricultural Loadsmentioning

confidence: 99%

Research on Optimized Energy Scheduling of Rural Microgrid

et al. 2019

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“…The amount of heat stored or taken from the TESS is subjected to losses (loss per hour, L T ), as given by (17)(18)(19). The state of storage at interval t is modeled considering the amount of energy at the previous interval and amount of heat stored/taken at current interval t, as given by Equation (19).…”

Section: Objective Functionmentioning

confidence: 99%

“…The acceptable ranges of temperatures for different types of households, considering the presence or absence of residents in the house, are shown in Table 4. Table 5 shows the description and values of constants used in the problem formation section [17,18,21]. In order to analyze the performance of the proposed method, several component outage cases are simulated in this study, in islanded mode.…”

Section: Numerical Simulationmentioning

confidence: 99%

Optimal Operation of Building Microgrids with Rooftop Greenhouse Under Component Outages in Islanded Mode

2019

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An optimal operation scheme for a building microgrid with a rooftop greenhouse in islanded mode is proposed in this paper. In islanded mode, the fulfillment of entire demand is challenging due to the absence of connection with the utility grid and the scarcity of local resources. The situation becomes more challenging when one or more pieces of equipment fail during the islanded mode. Therefore, in addition to islanded mode operation, component outage and recovery are also considered in this paper. In order to use the available energy efficiently, prioritization of building loads and control parameters of the greenhouse are proposed. A priority weight matrix is adopted to decide the supply of energy to fulfill the requirements of control parameters in the case of insufficient energy. In addition to the normal operation bounds, new bounds are defined to operate the control parameters if the resources are not sufficient. Additional penalties are imposed if the new bounds are chosen, due to violation of the normal operation range. The microgrid system is rescheduled if any component outage or recovery is detected from the outage point to the end of the scheduling horizon. The performance of the proposed method is evaluated by carrying out several simulations including component outage, component recovery, and simultaneous outage of two or more types of equipment. Numerical simulation results have demonstrated the effectiveness of the proposed operation scheme for optimal operation of building microgrids with a rooftop greenhouse in islanded mode.

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“…Additionally, higher humidity halts the transpiration process of plants and lower humidity effects the growth rate. Therefore, humidity should be controlled within an appropriate range by using the greenhouse equipment [50,51].…”

Section: Humiditymentioning

confidence: 99%

“…The CO 2 saturation point is the point at which the photosynthetic rate does not increase even if the carbon dioxide concentration is increased. Therefore, CO 2 concentration should be controlled between the CO 2 compensation point and the CO 2 saturation point [50,51].…”

Section: Co 2 Concentrationmentioning

confidence: 99%

A Multi-Agent System-Based Approach for Optimal Operation of Building Microgrids with Rooftop Greenhouse

et al. 2018

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In this paper, an optimal energy management scheme for building microgrids with rooftop greenhouse is proposed. A building energy management system (BEMS) is utilized for the optimal fulfilment of energy demands in the building and the greenhouse. The exhaust heat generated due to the operation of air conditioners in the building is used for fulfilling the cooling demands of the greenhouse via chillers. In addition to thermal and cooling demands, the four major control parameters (temperature, humidity, light intensity, and CO 2 concentration) are also considered for optimal growth of crops in the greenhouse. A multi-agent system (MAS) is adopted to realize the interaction among several households of the building, the greenhouse, and the BEMS. The MAS comprises of several inner-level, intermediate level, and upper-level agents, which are responsible for their respective tasks. The performance of the proposed optimization strategy is evaluated for two seasons of a year, i.e., summer and winter. Numerical simulations have demonstrated the effectiveness of the proposed operation scheme for optimal operation of building microgrids with rooftop greenhouses.

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Optimal Operation of Greenhouses in Microgrids Perspective

Cited by 36 publications

References 27 publications

Research on Optimized Energy Scheduling of Rural Microgrid

Research on Optimized Energy Scheduling of Rural Microgrid

Optimal Operation of Building Microgrids with Rooftop Greenhouse Under Component Outages in Islanded Mode

A Multi-Agent System-Based Approach for Optimal Operation of Building Microgrids with Rooftop Greenhouse

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