中性点串接小电阻均摊电网GICs的计算方法

发布时间：2018-08-19 20:08

【摘要】：流经变压器中性点的地磁感应电流(geomagnetically induced current,GIC)的大小不同,在GIC较大的变压器中性点采用串接电容器的方法治理GIC,会造成GIC故障高风险节点转移,使影响的范围扩大。基于中性点串接小电阻减轻GIC对高风险节点变压器的影响,提出了全网变压器均摊电网GIC的解决思路,考虑双电压等级电网GIC的相互影响,研究了均摊电网GIC的建模方法,以及不同类型的变压器、大地电性构造和电网结构等因素影响的处理方法;以变压器的中性点GIC量值、串接电阻量值和治理投资成本最小等目标函数为约束条件,提出了基于非支配排序遗传算法(elitist nondominated sorting genetic algorithm,NSGA-II)的中性点串接小电阻均摊电网GIC的优化算法。仿真验证的结果表明,基于NSGA-II的优化算法能获得较好的Pareto最优解集,且加权带精英策略的优化串接小电阻均摊电网GIC计算方法有效。
[Abstract]:The magnitude of geomagnetic inductive current (geomagnetically induced) is different in transformer neutral point. The method of series capacitor in transformer neutral point with larger GIC will cause the high risk node transfer of GIC fault and enlarge the influence range. Based on reducing the influence of GIC on high risk node transformers with small resistance connected with neutral points, this paper puts forward a solution to the GIC of all-network transformer equalization network. Considering the mutual influence of GIC in double-voltage power grid, the modeling method of GIC in equal-sharing power network is studied. The processing methods of different types of transformers, geoelectric structure and power network structure are taken as constraint conditions, such as the GIC value of neutral point of transformer, the value of series resistance and the minimum cost of treatment investment, etc. In this paper, an optimal GIC algorithm based on (elitist nondominated sorting genetic algorithm and NSGA-II is proposed. The simulation results show that the optimization algorithm based on NSGA-II can obtain a better optimal solution set of Pareto, and the optimal GIC calculation method with weighted elite strategy is effective.
【作者单位】：新能源电力系统国家重点实验室(华北电力大学);
【基金】：国家自然科学基金项目(51577060) 国家重点研发计划项目(2016YFC0800103)~~
【分类号】：TM74

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