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基于纵横交叉算法的含风电电力经济调度研究

Research on Power Economic Dispatch with Wind Power Based on Crossover Algorithm

  • 摘要: 针对风电出力的间歇性与随机性给电力经济调度带来的显著影响,本文围绕风电、光伏、火电多电源接入下的电力经济调度问题展开研究,构建风电-光伏-火电联合发电经济调度模型。模型采用两阶段优化架构:第一阶段以风电-光伏-火电联合发电总成本最小为优化目标;第二阶段以第一阶段出力结果为边界条件,以电网风电采购成本最小化为优化目标。采用纵横交叉算法对模型进行求解,并通过Matlab算例对所提模型与求解方法进行验证。算例结果表明,所提调度模型可同时实现发电总成本与风电采购成本的最小化,有效降低系统运行成本;纵横交叉算法能够对该调度模型实现高效求解。

     

    Abstract: In response to the significant impact of the intermittency and randomness of wind power output on power economic dispatch, this paper focuses on the research of power economic dispatch under the integration of multiple power sources including wind power, photovoltaic, and thermal power, and constructs an economic dispatch model for joint generation of wind power,photovoltaic, and thermal power. The model adopts a two-stage optimization framework: the first stage aims to minimize the total cost of joint generation of wind power, photovoltaic, and thermal power; the second stage, with the output results of the first stage as boundary conditions, aims to minimize the procurement cost of wind power from the grid. The model is solved using a vertical and horizontal crossover algorithm, and the proposed model and solving method are verified through a Matlab example. The results of the example show that the proposed dispatch model can simultaneously minimize the total generation cost and the procurement cost of wind power, effectively reducing the system operating cost; the vertical and horizontal crossover algorithm can efficiently solve this dispatch model.

     

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