基于新能源并网的电站综合无功优化控制算法研究

Study on integrated reactive optimization control algorithm in power station based on new energy grid-connection

随着分布式新能源的不断并网,其间歇性、随机性使得电网运行过程中谐波污染加剧。为了保持新能源接入电网的稳定性,文章采用优化算法实现对电站的综合控制,主要包括调节发电侧机组的出力、输电侧的主变压器分接头以及电容器组的投退,或对电网中的某些节点新增投入无功补偿设备。算法以确保新增无功补偿容量最小和接入点最佳为最终控制目标,在分布式能源接入电网扰动影响较大的情况下,将遗传算法和免疫算法结合进行验证。通过编程将二者的优化结果进行比较后,证明免疫与遗传两种算法相结合的电压综合控制策略具有良好的收敛性和抗扰动能力,最后以实际案例证明了免疫遗传算法的实效性。

With the continuous integration of distributed renewable energy, its intermittent and random characteristics make operation of the electric network harmonic pollution aggravate. In order to maintain the stability of new energy access to power grid, this paper adopts the optimization algorithms to achieve the comprehensive control of power plant, including the regulation of generation side unit of output, transmission side of the tap and the capacitor retreat, or adding the investment of reactive compensation equipment for some nodes in the network. The new algorithm takes the insurance＂ of no optimal reactive compensation capacity and minimum access point as the final control target, under the circumstances of perturbations in the access of grid distributed energy affecting larger, it combines the genetic al-gorithm and immune algorithm together to verify. Through programming and comparing the two results after the optimization, the integrated control strategy of voltage proof combining immune and genetic two algorithms has good conver- gence and anti disturbance ability. Finally, the actual case study proves the effectiveness of the immune genetic algorithm.