随着可再生能源的广泛应用和分布式电源技术的发展，微电网在孤岛模式下独
立运行的情况越来越多，对微电网建设的要求也越来越高。微电网电源规划是微电网建
设的重要组成部分，需要根据不同地区的资源特性来进行电源配置。文中以 “风/光/
储”独立微电网为背景，提出了一种基于风光资源特性的独立微电网电源优化配置方
法。建立了以年发电成本最小为目标、计及电源出力和储能电池电量等约束条件的优化
模型，采用线性规划算法进行求解。考虑风光出力的随机性，利用生成对抗网络算法模
拟生成风光出力场景，并采用改进的 K-中心点聚类算法对场景进行消减。为了分析风
光资源特性，构建了包含风电资源、光伏资源和风光互补 3 类指标的评价体系，提出了
基于熵权 － 复相关系数 － 序关系分析的主客观组合权重法，并采用模糊评价和灰色评价
方法对中国 30 个省的风光资源水平进行综合评价。最后根据评价结果选取 5 个代表地
区进行算例分析，结果表明，风电资源评价指标评价等级与风机配置容量占比存在对应
关系，可为独立微电网电源规划提供参考。
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．
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