【摘要】 针对现有大多数方法难以兼顾系统经济性与新能源消纳的问题，提出一种基于改进遗传算法的源网荷储协同控制方法。该方法综合考虑源网荷储系统的特性，构建了以运行成本和弃风弃光量最小化为目标的模型。通过采用混沌优化算法来对遗传算法进行改进，进而设计一种基于双层嵌套结构及改进遗传算法相结合的高效方法用于目标函数的求解，以得到最佳的系统控制模式。基于IEEE33节点系统对所提方法进行实验论证的结果表明，优化后系统的弃风弃光量和运行成本仅为0.872 MW及2.330万元，说明了该方法可有效减少系统的运行成本，并提高新能源的消纳。更多还原

【Abstract】 Aiming at the problem that most existing methods are difficult to give consideration for system economy and new energy consumption, a cooperative control method based on improved genetic algorithm for source network load storage was proposed. Considering the characteristics of source network load storage system, a target model was constructed to minimize the operating cost and the abandonment of wind and light. By using chaos optimization algorithm to improve the genetic algorithm, an efficient method based on the double-layer nested structure and the improved genetic algorithm was designed to solve the objective function for the best system control mode. Based on the IEEE33 node system, the experimental demonstration of the as-proposed method shows that the abandonment of wind and light and the operating cost of the optimized system are only 0.872 MW and 23 300 yuan, respectively, showing that the optimized system can effectively reduce the system operation cost and enhance the consumption of new energy.更多还原