王雪峰

摘要：绿色能源逐渐成为国家供能倡导的主流能源，但是随着大量的风电场和光伏电站并入到微电网中，其输出功率的波动间歇性变化给系统的经济调度带来了很多不确定性因素。鉴于此，构建出含风电场和光伏电站的微电网经济调度模型，对遗传算法（Genetic Algorithm，GA）进行自适应改进，用于对所提出的动态经济调度问题进行最优问题求解。实验结果显示，风电场和光伏电站并网后，算法给出的最优功能方案，较单一火电供电总费用降低了26.7%，较人为控制调度总费用下降了12.6%，证明了算法给出的方案能够降低微电网一次能源消费成本，获得更经济的调度方案。

关键词：风电场;光伏电站;经济调度;遗传算法

中图分类号：TM73

文献标识码：A文章编号：1001-5922（2022）06-0191-06

Economic dispatch of microgrid with wind farm and distributed photovoltaic

WANG Xuefeng

（State Grid Jilin Province Electric Power Co.， Ltd.， Baicheng Power Supply Company， Baicheng 137000， Jilin China

）

Abstract：Green energy has gradually become the mainstream energy advocated by the state for energy supply， but with a large number of wind farms and photovoltaic power stations incorporated into the microgrid， the intermittent fluctuation of its output power has brought many uncertain factors to the economic dispatch of the system. In view of this， it constructs a microgrid economic dispatch model with wind farms and photovoltaic power stations， and adaptively improves the Genetic Algorithm（GA） to solve the proposed dynamic economic dispatch problem. The experimental results show that after the wind farm and photovoltaic power station are connected to the grid， the total cost of power supply is reduced by 26.7% compared with that of single thermal power plant， and the total cost of manual control and dispatching is reduced by 12.6%， which proves that the scheme given by the algorithm can reduce the primary energy consumption cost of microgrid and obtain a more economical dispatching scheme.

Key words：wind farm;  power station; dispatch; genetic algorithm

含大规模风电场和光伏电厂的电力系统是未来微电网发展的趋势，随着风电场和光伏电站在微电网中的比重持续增加，考虑风、光电站的最佳经济调度方案被提上日程[1]。具体表现为风电场电力输出波动较大，光伏电站电力输出具有较强时间性，两者的输出对整个电网的能源输送带来诸多不确定因素，以致于并网之后，传统的经济调度方案并不能起到很好的作用。将风力发电和光伏发电作为随机变量，建立以发电成本为目标函数的经济调度数学模型，再通过智能优化算法来对问题进行求解，得出最合适的经济调度方案，进而降低整个微电网的运行成本[2]。

2含有风电场和分布式光……