Paper
17 May 2022 Dynamic allocation model for large-scale distributed photovoltaic prosumer clusters based on hierarchical consumption mechanism
Yanling Wang, Yajie Li, Siqi Chen
Author Affiliations +
Proceedings Volume 12259, 2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2022); 122593R (2022) https://doi.org/10.1117/12.2639983
Event: 2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2022), 2022, Kunming, China
Abstract
Promoting the large-scale development of the distributed photovoltaic (DPV) industry is the inevitable choice to construct the new power system based on new energy and the urgent need to achieve the carbon peak-and-neutrality goal. At present, domestic DPV mostly adopts "self-generation, self-consumption and surplus power to the grid" mode. The power consumption is highly dependent on the government and lacks a flexible and diversified market-oriented trading mechanism, resulting in a seriously restricted consumption rate. This paper proposes a hierarchical consumption (HC) mechanism of large-scale DPV to promote clean energy consumption. Then, taking the proportions of DPV selfconsumption, sharing, medium-and-long-term transaction and spot transaction electricity as decision variables, the paper establishes a dynamic allocation multi-objective optimization model for DPV prosumer clusters (PCs). The model quantifies and superimposes the double risks of market price fluctuation and DPV prediction deviation; takes the maximum income and the minimum decision risk as the goals; and uses NSGA - Ⅱ algorithm and TOPSIS method to solve. Finally, an example is given to verify the effectiveness of the model in improving the overall benefits of PC and promoting the local consumption of DPV energy.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yanling Wang, Yajie Li, and Siqi Chen "Dynamic allocation model for large-scale distributed photovoltaic prosumer clusters based on hierarchical consumption mechanism", Proc. SPIE 12259, 2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2022), 122593R (17 May 2022); https://doi.org/10.1117/12.2639983
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KEYWORDS
Solar energy

Photovoltaics

Monte Carlo methods

Systems modeling

Carbon

Optimization (mathematics)

Renewable energy

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