基于自适应差分进化算法的经济负荷调度方法研究

Research on economic dispatching method based on adaptive differential evolution

发电系统的经济调度对发电成本影响深刻,旨在通过利用基于外部存档的自适应差分进化算法来解决此问题。在经济负荷调度问题中,有功功率、无功功率、电压幅值和相角等多个变量决定了经济调度成本,是一个非线性优化问题,需要通过调整相关参数以获得最低的发电成本。采用自适应差分进化求解经济调度优化问题,该算法使用IEEE 30节点系统进行试验,通过自适应差分进化算法综合分析外部历史数据,引入相关外部参数来调节内部参数变化,得到发电系统的最优发电成本。

The economic dispatch of a power generation system has a profound impact on the generation cost,and solved by using the adaptive differential evolution(ADEEA) algorithm based on external archiving. In the economic load dispatch problem, several variables such as active power, reactive power, voltage amplitude,and phase angle determine the economic dispatch cost, which is a nonlinear optimization problem that requires adjustment of relevant parameters to obtain the lowest generation cost. Adaptive differential evolution is used to solve the economic dispatch optimization problem. The algorithm is tested using an IEEE 30-node system, and the adaptive differential evolution algorithm is used to analyze external historical data comprehensively and introduce relevant external parameters to adjust internal parameter variations to obtain the optimal generation cost of the power generation system.