The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Dengan pembangunan keupayaan tindak balas permintaan pasaran kuasa, pengagregat beban memainkan peranan yang lebih penting dalam penyelarasan antara grid kuasa dan pengguna. Mereka mempunyai banyak sumber data perniagaan sisi pengguna yang berkaitan dengan permintaan pengguna, pengurusan beban dan operasi peralatan. Dengan membina model perniagaan penggunaan sumber data perniagaan dan menginovasikan kandungan dan mod perkhidmatan kuasa pintar, ia boleh membimbing interaksi mesra antara bekalan kuasa, grid kuasa dan beban, meningkatkan fleksibiliti peraturan grid kuasa dengan berkesan, mempercepatkan tindak balas permintaan dan memperhalusi pengurusan beban. Memandangkan situasi semasa penggunaan sumber perniagaan yang tidak mencukupi, penyertaan pengguna yang rendah dan model perniagaan yang tidak sempurna, kertas kerja ini menganalisis proses perusahaan perkakas rumah yang mengambil bahagian dalam pencukuran puncak dan pengisian lembah (PSVF) sebagai agregator beban, dan menerangkan hubungan antara peserta dalam pasaran kuasa; model perkhidmatan perniagaan perkakas rumah pintar yang mengambil bahagian dalam PSVF berdasarkan platform awan dikemukakan; nilai pasaran yang dicipta oleh sumber perniagaan perkakas rumah untuk setiap peserta di bawah tindakan bersama cara berorientasikan pasaran, teknologi maklumat dan teknologi penggunaan kuasa dibincangkan, dan senario perniagaan biasa disenaraikan; mengambil analisis sumber perniagaan Haier sebagai contoh, kebolehlaksanaan model perniagaan yang dicadangkan dalam menginovasi kandungan dan realisasi nilai perkhidmatan penggunaan kuasa pintar terbukti.
Mingrui ZHU
School of Mechanical Engineering, Zhejiang University, Zhejiang Provincial Key Research Laboratory of Advanced Manufacturing Technology
Yangjian JI
School of Mechanical Engineering, Zhejiang University, Zhejiang Provincial Key Research Laboratory of Advanced Manufacturing Technology
Wenjun JU
Qingdao Haier Technology Co., Ltd.
Xinjian GU
School of Mechanical Engineering, Zhejiang University, Zhejiang Provincial Key Research Laboratory of Advanced Manufacturing Technology
Chao LIU
Qingdao Haier Technology Co., Ltd.
Zhifang XU
Qingdao Haier Technology Co., Ltd.
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Salinan
Mingrui ZHU, Yangjian JI, Wenjun JU, Xinjian GU, Chao LIU, Zhifang XU, "A Business Service Model of Smart Home Appliances Participating in the Peak Shaving and Valley Filling Based on Cloud Platform" in IEICE TRANSACTIONS on Information,
vol. E104-D, no. 8, pp. 1185-1194, August 2021, doi: 10.1587/transinf.2020BDP0004.
Abstract: With the development of power market demand response capability, load aggregators play a more important role in the coordination between power grid and users. They have a wealth of user side business data resources related to user demand, load management and equipment operation. By building a business model of business data resource utilization and innovating the content and mode of intelligent power service, it can guide the friendly interaction between power supply, power grid and load, effectively improve the flexibility of power grid regulation, speed up demand response and refine load management. In view of the current situation of insufficient utilization of business resources, low user participation and imperfect business model, this paper analyzes the process of home appliance enterprises participating in peak shaving and valley filling (PSVF) as load aggregators, and expounds the relationship between the participants in the power market; a business service model of smart home appliance participating in PSVF based on cloud platform is put forward; the market value created by home appliance business resources for each participant under the joint action of market-oriented means, information technology and power consumption technology is discussed, and typical business scenarios are listed; taking Haier business resource analysis as an example, the feasibility of the proposed business model in innovating the content and value realization of intelligent power consumption services is proved.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2020BDP0004/_p
Salinan
@ARTICLE{e104-d_8_1185,
author={Mingrui ZHU, Yangjian JI, Wenjun JU, Xinjian GU, Chao LIU, Zhifang XU, },
journal={IEICE TRANSACTIONS on Information},
title={A Business Service Model of Smart Home Appliances Participating in the Peak Shaving and Valley Filling Based on Cloud Platform},
year={2021},
volume={E104-D},
number={8},
pages={1185-1194},
abstract={With the development of power market demand response capability, load aggregators play a more important role in the coordination between power grid and users. They have a wealth of user side business data resources related to user demand, load management and equipment operation. By building a business model of business data resource utilization and innovating the content and mode of intelligent power service, it can guide the friendly interaction between power supply, power grid and load, effectively improve the flexibility of power grid regulation, speed up demand response and refine load management. In view of the current situation of insufficient utilization of business resources, low user participation and imperfect business model, this paper analyzes the process of home appliance enterprises participating in peak shaving and valley filling (PSVF) as load aggregators, and expounds the relationship between the participants in the power market; a business service model of smart home appliance participating in PSVF based on cloud platform is put forward; the market value created by home appliance business resources for each participant under the joint action of market-oriented means, information technology and power consumption technology is discussed, and typical business scenarios are listed; taking Haier business resource analysis as an example, the feasibility of the proposed business model in innovating the content and value realization of intelligent power consumption services is proved.},
keywords={},
doi={10.1587/transinf.2020BDP0004},
ISSN={1745-1361},
month={August},}
Salinan
TY - JOUR
TI - A Business Service Model of Smart Home Appliances Participating in the Peak Shaving and Valley Filling Based on Cloud Platform
T2 - IEICE TRANSACTIONS on Information
SP - 1185
EP - 1194
AU - Mingrui ZHU
AU - Yangjian JI
AU - Wenjun JU
AU - Xinjian GU
AU - Chao LIU
AU - Zhifang XU
PY - 2021
DO - 10.1587/transinf.2020BDP0004
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E104-D
IS - 8
JA - IEICE TRANSACTIONS on Information
Y1 - August 2021
AB - With the development of power market demand response capability, load aggregators play a more important role in the coordination between power grid and users. They have a wealth of user side business data resources related to user demand, load management and equipment operation. By building a business model of business data resource utilization and innovating the content and mode of intelligent power service, it can guide the friendly interaction between power supply, power grid and load, effectively improve the flexibility of power grid regulation, speed up demand response and refine load management. In view of the current situation of insufficient utilization of business resources, low user participation and imperfect business model, this paper analyzes the process of home appliance enterprises participating in peak shaving and valley filling (PSVF) as load aggregators, and expounds the relationship between the participants in the power market; a business service model of smart home appliance participating in PSVF based on cloud platform is put forward; the market value created by home appliance business resources for each participant under the joint action of market-oriented means, information technology and power consumption technology is discussed, and typical business scenarios are listed; taking Haier business resource analysis as an example, the feasibility of the proposed business model in innovating the content and value realization of intelligent power consumption services is proved.
ER -