Optimal Generation Configuration Methods for Standalone Microgrids
Based on Wind and Solar Resources Characteristics

doi:10.12141/j.issn.1000-565X.200597

Abstract

Abstract: With the wide application of renewable energy and the development of distributed generation technology， more and more microgrids operate independently in island mode，and the requirements for microgrid construction are also higher and higher． As an important part of microgrid construction，Microgrid power planning needs to configure power according to the resource characteristics of different regions． Based on the background of“wind / photovoltaic /battery”standalone microgrids，this paper proposed an optimal power configuration method for standalone microgrids based on the characteristics of wind and solar resources． An optimization model with the objective of minimizing the annual generation cost and considering the constraints of power output and energy storage battery capacity was established and solved by linear programming algorithm． Considering the randomness of the wind and photovoltaic output，the wind and photovoltaic output scenario was simulated by the generative adversarial network algorithm，and the scene was reduced by the improved K-medoids clustering algorithm． In order to analyze the characteristics of wind and solar resources，an evaluation system including wind power resources，photovoltaic resources and wind solar complementary indicators was constructed，and the subjective and objective combination weight method based on“entropy weight-complex correlation coefficient-order relationship analysis”was proposed． Fuzzy evaluation and grey evaluation methods were used to comprehensively evaluate the level of wind and solar resources in 30 provinces of China． Finally，according to the evaluation results，five representative regions were selected for example analysis． The results show that there is a corresponding relationship between the evaluation level of wind power resource evaluation index and the proportion of wind turbine configuration capacity． The study can provide reference for the planning of standalone microgrids power supply．

Key words: microgrids, power configuration, wind and solar resources evaluation index, comprehensive evaluation method, scenario analysis method

CLC Number:

TM715

LIN Lingxue LIAO Biying GUAN Lin. Optimal Generation Configuration Methods for Standalone Microgrids Based on Wind and Solar Resources Characteristics[J]. Journal of South China University of Technology (Natural Science Edition), 2021, 49(7): 103-115.

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Optimal Generation Configuration Methods for Standalone Microgrids Based on Wind and Solar Resources Characteristics

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