随着中国经济的持续增长,对能源的需求也在不断上升.然而,由于一次能源与负荷中心的逆向分布,采用新能源进行大规模远距离输电已成为行业内的迫切需求.在众多输电技术中,基于换相换流器的高压直流输电技术(line commutated converter high voltage direct current,LCC-HVDC)具有无功消耗特性,可能加剧电网的电压波动与无功平衡的问题.针对这一挑战,重点研究交直流混联电网,并构建了一个旨在优化无功功率的数学模型.为克服遗传算法在初始种群选取困难和易早熟的问题,对传统遗传算法进行了创新性改进.在改进后的IEEE 14节点系统和IEEE 39节点系统上进行系列实验验证,所提改进遗传算法展现出显著的实用性和有效性.该算法能够有效优化电网的无功功率,显著提升电网运行的稳定性和效率,为电网无功优化提供了一种新的解决方案.
Reactive Power Optimization Method for AC/DC Hybrid Power Grids Based on Improved Genetic Algorithms
With the continuous growth of China's economy,the demand for energy is also rising steadily.However,due to the inverse distribution of primary energy sources and load centers,the need for large-scale,long-distance transmission of new energy has become an urgent requirement industry requirement.Among the many transmission technologies,line commutated converters for high voltage direct current(LCC-HVDC)may aggravate the problem of voltage fluctuation and reactive power balance in the power grid due to their reactive power consumption characteristics.In response to this challenge,this paper focuses on the study of hybrid AC/DC power grids and constructs a mathematical model aimed at optimizing reactive power.To overcome the problems of initial population selection and premature convergence in genetic algorithms,this paper introduces innovative improvements to the traditional genetic algorithm.Through a series of experimental validations conducted on the improved IEEE 14-node and IEEE 39-node systems,the improved genetic algorithm proposed in this paper demonstrates its significant practicality and effectiveness.The algorithm can effectively optimize the reactive power in the power grid,significantly enhancing the stability and efficiency of the power grid's operation,and it provides a new solution for reactive power optimization in power grids.
high-voltage direct current transmissiongenetic algorithmAC/DC power gridreactive power optimization
万方数据
维普
