变权重系数和关联规则挖掘方法在风光储运行优化中的应用
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吴克河(1962-),男,教授,博士生导师,主要从事电力智能软件技术、电力信息安全方面的研究;

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中央高校基本科研业务专项资金资助项目(2014XS39)


Application of variable weight coefficients and association rules in wind-solar-battery power plant operation optimization
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    摘要:

    制定合理的风光储联合发电系统协调运行策略可以提高新能源电力企业的运行经济性。提出一种变权重系数和关联规则挖掘混合算法(Variable Weight Coefficients and Association Rules, VWC-AR),对风光储联合发电系统协调运行策略进行优化。以历史运行数据为基础,挖掘全工况下最优机组组合以及单台机组在全工况下的综合性能指标值,得到工况条件到最优机组组合之间的推理规则集。根据具体的调度需求和工况环境,利用均衡函数的变权综合模式,计算潜在目标机组组态模式的变权重系数,结合

    Abstract:

    Formulating reasonable coordination operation strategy of wind-photovoltaic-battery generation system can improve the operation economy of the new energy electric power enterprises. A hybrid algorithm of variable weight coefficient and associated rules mining is proposed in order to optimize coordination operation strategy of wind-photovoltaic-battery generation system. First, it mines the optimal combination under all conditions as well as comprehensive performance index of a unit based on historical operating data, and forms a set of inference rules between condition and the optimal combination. Second, according to the specific scheduling requirements and working environment, it uses the equilibrium function of variable weight comprehensive mode, and calculates the variable weight coefficient of potential target model. Combining with the fixed performance evaluation method, it selects the optimal configuration mode, builds a set of objective, real-time, accurate coordinate operation strategy, and optimizes the system operation cost. Finally, the simulation proves that the algorithm can make full use of complementary of wind and solar resources, extend the service life of the battery, and improve economic efficiency of system.

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吴克河,周欢,黄婷,等.变权重系数和关联规则挖掘方法在风光储运行优化中的应用[J].电力系统保护与控制,2014,42(18):50-57.[WU Ke-he, ZHOU Huan, HUANG Ting, et al. Application of variable weight coefficients and association rules in wind-solar-battery power plant operation optimization[J]. Power System Protection and Control,2014,V42(18):50-57]

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  • 收稿日期:2013-12-10
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  • 在线发布日期: 2014-09-11
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