Satisfaction-based optimal scheduling of household-based microgrid day-ahead energy

HaoDi Song; Yu Cao; Tao Zhang; PuFan Lu

doi:10.1117/12.2635141

25 April 2022 Satisfaction-based optimal scheduling of household-based microgrid day-ahead energy

HaoDi Song, Yu Cao, Tao Zhang, PuFan Lu

Proceedings Volume 12244, 2nd International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2022); 122445A (2022) https://doi.org/10.1117/12.2635141
Event: 2nd International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2022), 2022, Guilin, China

Abstract

With the maturity of home load control technology and smart grid technology, optimal scheduling of household microgrid has become an important means to realize personalized and differentiated electricity service for customers. To address the problems of load diversity of household microgrid and satisfaction of customer-side participation in demand response, we combine the theory of customer-side demand response with the idea of data mining to carry out research. Firstly, a multiattribute demand response strategy model based on satisfaction is established with the maximum customer satisfaction index as the objective function, and electricity consumption behavior habits are mined from the historical electricity consumption data of customers. Second, the improved particle swarm algorithm is used to solve the dispatching model. The results verify the effectiveness of the proposed model and solution algorithm, which can help customers to reduce electricity costs while ensuring customer satisfaction and reducing the peak-to-valley difference of the grid.

Citation Download Citation

HaoDi Song, Yu Cao, Tao Zhang, and PuFan Lu "Satisfaction-based optimal scheduling of household-based microgrid day-ahead energy", Proc. SPIE 12244, 2nd International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2022), 122445A (25 April 2022); https://doi.org/10.1117/12.2635141

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