Day-ahead and real time coordination and optimization scheduling of photovotaic energy storage DC buildings considering real-time electricity price

Yao Tang; Dan Guo; Qun Yong; Xue Ming Qiao

doi:10.1117/12.2640504

19 October 2022 Day-ahead and real time coordination and optimization scheduling of photovotaic energy storage DC buildings considering real-time electricity price

Yao Tang, Dan Guo, Qun Yong, Xue Ming Qiao

Author Affiliations +

Proceedings Volume 12294, 7th International Symposium on Advances in Electrical, Electronics, and Computer Engineering; 122941C (2022) https://doi.org/10.1117/12.2640504
Event: 7th International Symposium on Advances in Electrical, Electronics and Computer Engineering (ISAEECE 2022), 2022, Xishuangbanna, China

Abstract

Compared with AC power supply system, DC power supply system reduces the current conversion link and improves the system efficiency, so it has great advantages to use DC power supply in buildings. At present, the domestic research on building DC power supply is still in the exploratory stage. The control strategy and coordinated control of converters in different operation modes are the keys to the stable operation of DC power supply system in buildings. In this paper, the control of the DC power supply system is divided into two layers: the lower converter layer and the upper management layer. The lower converter layer maintains the constant DC bus voltage and the upper energy management layer realizes the optimal and economic operation of the system. A multi-energy scheduling strategy of building DC power supply system based on time-of-use tariff and real-time battery control is proposed. The model is solved by using particle swarm algorithm to obtain the optimal operation of battery charging and discharging, buying and selling power from the grid according to PV output, load demand, battery status and time-of-use tariff, and the simulation proves the effectiveness of the multi-energy scheduling strategy.

Citation Download Citation

Yao Tang, Dan Guo, Qun Yong, and Xue Ming Qiao "Day-ahead and real time coordination and optimization scheduling of photovotaic energy storage DC buildings considering real-time electricity price", Proc. SPIE 12294, 7th International Symposium on Advances in Electrical, Electronics, and Computer Engineering, 122941C (19 October 2022); https://doi.org/10.1117/12.2640504

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