MULTI-SCENARIO OPERATION OPTIMIZATION FOR COST CONTROL OF DISTRIBUTION NETWORK CONSIDERING SPATIAL AND TEMPORAL CORRELATION OF WIND POWER

Xu Qinghua

doi:10.19912/j.0254-0096.tynxb.2024-0504

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Acta Energiae Solaris Sinica ›› 2025, Vol. 46 ›› Issue (8) : 25-32. DOI: 10.19912/j.0254-0096.tynxb.2024-0504

MULTI-SCENARIO OPERATION OPTIMIZATION FOR COST CONTROL OF DISTRIBUTION NETWORK CONSIDERING SPATIAL AND TEMPORAL CORRELATION OF WIND POWER

Xu Qinghua

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Abstract

This paper combines convolutional autoencoders （CAE） and conditional generative adversarial networks （CGAN） to propose a multi-scenario operation optimization method for distribution networks that considers the spatiotemporal correlation of wind power and cost control. For the distribution network system with multi-regional wind power cluster access, CAE is used to extract the spatiotemporal correlation features of wind power output historical data, which is used as the condition value input of CGAN to generate wind power output scenarios, and the K-Medoids clustering method is adopted for scene reduction, to obtain a set of typical scenarios of wind power spatiotemporally related output. On this basis, a distribution network operation optimization model is established to optimize system operation economics, and then the optimal power flow distribution of the distribution network is solved. Finally, simulation analysis is conducted based on the IEEE 33-node power distribution system. The example results show that the proposed method can effectively take into account system operation economy and power quality, and further improve the distribution network’s ability to absorb wind power.

Key words

wind power / distribution networks / spatial-temporal data / cost control / operation optimization

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Xu Qinghua. MULTI-SCENARIO OPERATION OPTIMIZATION FOR COST CONTROL OF DISTRIBUTION NETWORK CONSIDERING SPATIAL AND TEMPORAL CORRELATION OF WIND POWER[J]. Acta Energiae Solaris Sinica. 2025, 46(8): 25-32 https://doi.org/10.19912/j.0254-0096.tynxb.2024-0504

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