Study on Compensation of Short Term Power Fluctuation by Use of Heat Pump Air Conditioning System based on Real Machine

Kawachi, Shunsuke; Hagiwara, Hiroki; Baba, Jumpei; Furukawa, K.; Shimoda, Eisuke; Numata, Shigeo

doi:10.1541/ieejpes.132.77

Cited by 17 publications

(11 citation statements)

References 2 publications

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“…The green line shows the characteristic of the rate of change when "load up" signal is given to HPACS and the blue line shows the characteristic when "load down" signal is given. This characteristic of the rate of change was obtained by experiments that was conducted in previous study [13]. In the control system, the GE, the ESS, and the HPACS are controlled to keep the tie line power flow to its reference value.…”

Section: Power Fluctuation Compensation Reference Signalmentioning

confidence: 90%

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Thermal comfort analysis during power fluctuation compensation by use of air-conditioning system

Kawachi

Hagiwara

Baba

et al. 2012

2012 3rd IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe)

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The power consumption control of hat pump airconditioning system (HPACS) is expected to be an effective method to reduce energy capacity of energy storage systems (ESSs) that is necessary to compensate power fluctuation caused by renewable energy sources. In this research, experiments to control HPACS's power consumption directly has been conducted using real machine. The input signal of the HPACS has been calculated by microgrid control simulation. The heat output of the HPACS has been measured and thermal comfort of the room that is air-conditioned by the HPACS has been analyzed using room temperature calculation model. The results of the experiments and analysis show that by implementing appropriate temperature control loop, the HPACS can compensate power fluctuation in frequency range between 0.005Hz and 0.01Hz without affecting thermal comfort of the users.Index Terms-heat pump air-conditioning system, controllable load, microgrid, thermal comfort.

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Section: Power Fluctuation Compensation Reference Signalmentioning

confidence: 90%

“…The power fluctuation compensation signal ΔP ref comp that is given to the HPACS is calculated by a microgrid control simulation in a previous study [13]. In the simulation, a microgrid model with a gas engine (GE), an ESS, a HPACS, and loads is assumed.…”

Section: Power Fluctuation Compensation Reference Signalmentioning

confidence: 99%

Thermal comfort analysis during power fluctuation compensation by use of air-conditioning system

Kawachi

Hagiwara

Baba

et al. 2012

2012 3rd IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe)

Self Cite

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“…A technique that supports high‐speed ADR is called FastADR, and its future application is considered for high‐speed power supply–demand control services that response within several minutes after issuing a request …”

Section: Introductionmentioning

confidence: 99%

“…3 A technique that supports high-speed ADR is called Fas-tADR, and its future application is considered for high-speed power supply-demand control services that response within several minutes after issuing a request. [4][5][6][7][8][9] One of FastADR elements is a service provider called aggregator. Aggregator is a service provider that makes possible aggregation (request distribution and result acquisition) of FastADR power suppression values of multiple customer facilities.…”

Section: Introductionmentioning

confidence: 99%

Scalability analysis on the smart grid fast automated demand response aggregation Web services for widely distributed building facilities

Yamada

Suzuki

Ninagawa

2018

Electrical Engineering Japan

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In this paper, we modeled an aggregation communication server of the Fast Automated Demand Response (FastADR) system using an M/M/1 queuing system. Assuming that a very large number of FastADR participating BEMS gateways are widely distributed, scalability of aggregation communication performance was estimated by the M/M/1 transient analysis. Validity of our analysis model was confirmed by realistic wide‐area communication emulation system in the laboratory. Our scalability analysis has shown that at least parallel 25 aggregation systems will be necessary to realize expected communication time of approximately 30 s for an example of FastADR aggregation of 100 MW reduced demand.

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“…As regards target loads for FastADR, building airconditioning (AC) facilities are considered as a promising candidate because of its large capacity and control flexibility [3][4][5][6][7][8][9]. However, it is required to predict actual power limitation response in real time in order to aggregate FastADR limitation amount across hundreds of buildings within a time as short as several minutes.…”

Section: Introductionmentioning

confidence: 99%

Prediction Model on Room Temperature Side Effect due to FastADR Aggregation for a Cluster of Building Air‐Conditioning Facilities

Naramura

Morikawa

Ninagawa

2017

Electrical Engineering Japan

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SUMMARY In this paper, we have constructed an auto regressive and neural network combined type prediction model for responsive change in the room temperature trend due to the fast automated demand response (FastADR) power limitation of office building air‐conditioning facilities. We defined the average of differences between room temperature and set point of each indoor unit for the entire building as a FastADR side effect index for the building. Prediction experiments using an actual office building showed that the root mean square prediction error of our model was 0.23 °C for 5 min after the FastADR. This prediction ability is considered sufficient to estimate the side effect of FastADR power limitation.

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Study on Compensation of Short Term Power Fluctuation by Use of Heat Pump Air Conditioning System based on Real Machine

Cited by 17 publications

References 2 publications

Thermal comfort analysis during power fluctuation compensation by use of air-conditioning system

Thermal comfort analysis during power fluctuation compensation by use of air-conditioning system

Scalability analysis on the smart grid fast automated demand response aggregation Web services for widely distributed building facilities

Prediction Model on Room Temperature Side Effect due to FastADR Aggregation for a Cluster of Building Air‐Conditioning Facilities

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