Optimization for Substation Power Frequency Electric Field Distribution Based on Particle Swarm Optimization
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Optimization for Substation Power Frequency Electric Field Distribution Based on Particle Swarm Optimization
Vol. 43, Issue 4, Pages: 1341-1347(2017)
作者机构:
1. 同济大学电子与信息工程学院
2. 宁波耀华电气科技有限责任公司
作者简介:
基金信息:
DOI:
CLC:
Published Online:10 April 2017,
Published:2017
稿件说明:
移动端阅览
JIN Lijun, XUE Fei, PENG Chenyi, et al. Optimization for Substation Power Frequency Electric Field Distribution Based on Particle Swarm Optimization[J]. 2017, 43(4): 1341-1347.
DOI:
JIN Lijun, XUE Fei, PENG Chenyi, et al. Optimization for Substation Power Frequency Electric Field Distribution Based on Particle Swarm Optimization[J]. 2017, 43(4): 1341-1347.DOI:
Optimization for Substation Power Frequency Electric Field Distribution Based on Particle Swarm Optimization
摘要
为降低变电站工频电场曝露水平
避免工作人员长期曝露其中可能造成的健康威胁
通过优化电站设备布局来降低一次设备周围近地面空间电场强度。建立220 k V户外配电设备3维几何模型
To reduce the level of power frequency electric field exposure that may bring health risks to the substation staff
the layout of electric equipment in substation is optimized to reduce the strength of near-ground electric-field of electric equipment. A three-dimensional geometric model of 220 k V outdoor distribution equipment was built and the actual power frequency electric field distribution was simulated by the simulation software. The equipment region with high electric field level was selected as the region to be optimized. Then fitness function and limitations of the particle swarm optimization mathematical model applied to electric problem was raised. To reduce the external electric field distribution as the optimization goal
the overall optimization was calculated. Moreover
based on the results
the device location was finely tuned in order to reduce the high field strength distribution inside the area. The optimized electric field distribution was compared to the original distribution
and it was found that the fitness function value of the overall optimization was reduced by 83.4%
and the fitness function of the regional optimization reduced by 29.1%. Results show that using PSO to adjust equipment layout can reduce the current level of substation power frequency electric field exposure without the increasing of the construction cost.