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基于粒子群算法的光伏并网逆变器功率分配优化方法

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在分配光伏并网逆变器功率时,由于时空位置差异以及外界负载差异的影响,各逆变器对应的阻抗存在差异,使得逆变器的无功功率较高,为此提出基于粒子群算法的光伏并网逆变器功率分配优化方法.在计算逆变器的端电压与线路阻抗之间关系的基础上,绘制逆变器无功电压下垂特性曲线,并从下垂系数和线路阻抗两个角度考虑构建了功率分配目标函数.按照光伏并网逆变器运行参数的可执行范围对粒子群的大小进行设置后,通过计算粒子位置与目标函数的适应度值,确定最优分配结果.在测试结果中,应用所设计的方法可使无功功率稳定在1210.0 var以内,处于较低水平.
PSO-based Power Allocation Optimization for Photovoltaic Grid-tie Inverters
When distributing the power of photovoltaic grid-tie inverter,the corresponding impedances of individual in-verters are different due to the influence of spatial-time position difference and external load difference,which gives rise to the reactive power of the inverter.Therefore a power distribution optimization method of photovoltaic grid-tie inverter based on particle swarm optimization algorithm was proposed.On the basis of calculating the relationship between inverter terminal voltage and line impedance,the reactive voltage droop characteristic curve of the inverter was obtained,and the power allocation objective function was constructed from the perspectives of droop coefficient and line impedance.After the particle swarm size was set according to the executable range of the operating parameters of the photovoltaic grid-tie in-verter,the optimal allocation result was determined by calculating the fitness value of the particle position and the objec-tive function.In the test results,the reactive power under the proposed method remained stable within 1210.0 var,at a relatively low level.

particle swarm optimizationPV grid-tie inverterpower allocation optimizationterminal voltagecharacteristic curve of reactive voltage droopobjective functionfitness value

杨子江

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国网浙江省电力有限公司金华供电公司,浙江 金华 321000

粒子群算法 光伏并网逆变器 功率分配优化 端电压 无功电压下垂特性曲线 目标函数 适应度值

2024

电工技术
重庆西南信息有限公司(原科技部西南信息中心)

电工技术

影响因子:0.177
ISSN:1002-1388
年,卷(期):2024.(20)