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2020 | OriginalPaper | Chapter

Power Trading Strategy Considering User Response Characteristics Under Incentive Conditions

Authors : Xun Dou, Pan Zhang, Ping Shao, Yanmin Guo, Xin Zhang

Published in: Proceedings of PURPLE MOUNTAIN FORUM 2019-International Forum on Smart Grid Protection and Control

Publisher: Springer Nature Singapore

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Abstract

China is now undergoing a major power section reform. On the electricity market side, the reform enables the power sale to be more market dominated. Thus for major power retailers, the needs of more flexible and economic sale strategies become bottlenecks to keep up with the market changes. In this paper, we target at incentive-based demand response scheme, and propose a power trading strategy considering load payback effect. We divide the power market as long-term market and day-ahead market. Then we develop a fine-grain power procurement and sale model considering both markets to maximize the profit of the retailer. Simulation from GAMS show the validity and effectiveness of the proposed model.

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Metadata
Title
Power Trading Strategy Considering User Response Characteristics Under Incentive Conditions
Authors
Xun Dou
Pan Zhang
Ping Shao
Yanmin Guo
Xin Zhang
Copyright Year
2020
Publisher
Springer Nature Singapore
DOI
https://doi.org/10.1007/978-981-13-9779-0_80