Energy Storage Capacity Configuration of Photovoltaic Power Station in High Source-to-Charge Local Power Grid

ZHANG Feng , LI Siru, SUN Yiqian, GUO Xiaolong, YUAN Tiejiang , LIU Yong

Distributed Energy ›› 2020, Vol. 5 ›› Issue (1) : 29-34.

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Distributed Energy ›› 2020, Vol. 5 ›› Issue (1) : 29-34. DOI: 10.16513/j.2096-2185.DE.1901105
Basic Research

Energy Storage Capacity Configuration of Photovoltaic Power Station in High Source-to-Charge Local Power Grid

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Abstract

In the high source-to-charge local power grid, the photovoltaic power generation system usually has the largest output at noon and stops at night. If the energy storage capacity of the optical storage combined power generation system is properly configured, the abandoned light can be reduced, and the important load can be supplied at night. For the photovoltaic power generation system, the definition of the generalized load and the net generalized load based on the photovoltaic power generation system is defined. The operating state of the photovoltaic system is divided by the size of the photovoltaic penetration power. Based on this, the evaluation index of the optical storage combined power generation system is proposed, with three indicators. The capacity is configured with the minimum and the lowest energy storage cost. The method proposes different evaluation indexes for the characteristics of photovoltaic power generation systems in different operating states, so that the charging and discharging strategies of energy storage systems are more targeted. The example verifies the rationality of the proposed indicators and compares and analyzes the changes of indicators under different energy storage capacity configurations.

Key words

photovoltaic power generation / energy storage / operating status / evaluation index

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Feng ZHANG , Siru LI , Yiqian SUN , et al . Energy Storage Capacity Configuration of Photovoltaic Power Station in High Source-to-Charge Local Power Grid[J]. Distributed Energy Resources. 2020, 5(1): 29-34 https://doi.org/10.16513/j.2096-2185.DE.1901105

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Funding

Project supported by National Natural Science Foundation of China(51577163)
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