基于协同进化遗传算法的地区电网电压优化与治理研究

大区域电网互联使系统趋于复杂化,传统数学方法处理电压优化与治理问题时存在较大的局限性,采用合作型协同进化遗传算法对电压优化与治理进行研究,考虑提高电压合格率和新增无功补偿装置投资成本最小化建立数学模型,将电压优化问题的控制变量进行合理划分,降低了搜索空间的运算复杂度,协同进化搜寻最优解。算例结果分析表明,该方法可以有效提高电网的电压合格率,具有良好的收敛性能,有助于求解大规模电网电压优化与治理问题。

Research for Voltage Optimization and Control in the Local Power System Based on the Co-Evolutionary Genetic Algorithm

The power system is enabled to become more complicated due to large regional power grid interconnection, so there is a big limitation when voltage regulation and control problem is solved by the traditional mathematical methods. In order to increase rate of qualified voltage and minimize investment cost of the new reactive power compensation device, the mathematical model is established in this paper, and it is solved by co-evolution genetic algorithm. The control variable of voltage optimization problem is divided reasonably to reduce computational complexity of the search space and search for optimal solutions cooperatively. The result of example indicated that rate of qualified voltage is improved efficiently by CGA which convergence performance is good, and CGA is helpful to solve large-scale grid voltage regulation and control problem.