Paper
6 February 2024 Research on interruptible load management for microgrids based on subsidy strategies
Yuzhuo Zhang, Haifeng Zheng, Peng Wu, Yunlong Bai, Xiaoming Wang, Yuanjie Zheng, Yinuo Wang, Yongli Wang
Author Affiliations +
Proceedings Volume 12979, Ninth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2023); 129796D (2024) https://doi.org/10.1117/12.3015866
Event: 9th International Conference on Energy Materials and Electrical Engineering (ICEMEE 2023), 2023, Guilin, China
Abstract
This study proposes a segmented subsidy mechanism suitable for microgrid load interruption management. The mechanism is in the form of a fixed subsidized tariff, where the grid pays the microgrid a tariff subsidy and the microgrid pays the users at a variable subsidized tariff, which is used to subsidize the losses of the users' participation in load interruptions. The study obtained a variable subsidized tariff model and a microgrid load interruption revenue model based on the least squares fitting method, and proposed three load interruption management strategies, namely, free interruption, fixed interruption time, and fixed interruption power, so that participating parties can choose flexibly. A flock optimization algorithm is used to solve the problem of maximum interruption revenue of a typical microgrid containing interruptible loads with a segmented subsidy mechanism. Example results verify the feasibility and effectiveness of the proposed strategy.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Yuzhuo Zhang, Haifeng Zheng, Peng Wu, Yunlong Bai, Xiaoming Wang, Yuanjie Zheng, Yinuo Wang, and Yongli Wang "Research on interruptible load management for microgrids based on subsidy strategies", Proc. SPIE 12979, Ninth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2023), 129796D (6 February 2024); https://doi.org/10.1117/12.3015866
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KEYWORDS
Power grids

Mathematical optimization

Reflection

Control systems

Wind turbine technology

Gadolinium

Modeling

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