首页|期刊导航|沈阳工业大学学报|考虑配电网电源侧故障的区域检修负荷转移方法

考虑配电网电源侧故障的区域检修负荷转移方法OA

Regional maintenance load transfer method considering power supply side faults in distribution networks

中文摘要英文摘要

[目的]配电网电源侧故障易引发三相电流不平衡问题,进而导致区域供电中断,威胁电网安全稳定运行.传统负荷转移策略通常仅关注功率平衡,未充分考量负序电流分布对系统恢复的影响,易造成恢复效率偏低或开关操作频繁等弊端.为此,针对配电网电源侧故障场景,提出一种区域检修负荷转移方法,以期实现故障后电网的高效恢复,并优化负荷损失、网损及开关操作次数.[方法]采用对称分量法求解故障复合序网中的负序电流,通过对比故障相电压相量与负序电流的相位差值并合理设定门槛值,精准定位待恢复区与失电区.区域划分完成后进行负荷转移,构建以联合负荷损失最小、联络开关操作次数最少及附加网损最小为目标的多目标负荷转移优化模型,并设置拓扑结构、负荷可控性等6个方面的约束条件.鉴于多目标函数间存在相互冲突,采用遗传算法与启发式搜索算法相结合的混合算法进行求解,该算法可有效避免陷入局部最优解.基于拓扑分析与判定结果,搜索可用联络开关与初步负荷转移方案,结合多方面影响因素,运用混合算法获取最优转移路径,生成最佳负荷转移方案,通过调整联络开关状态,实现负荷由待恢复区向失电区的转移,从而恢复配供电.[结果]为验证本文方法的有效性,选取某地区10kV配电网开展仿真测试.测试结果表明,本文方法的负荷损失均值仅为0.215 3 kW,附加网损数值相对较小,联络开关操作次数最少仅为9次,且各节点电压普遍维持在较高水平,同时保障了供电可靠性.[结论]本文方法通过精准分析负序电流分布、合理划分故障影响区域,并基于多目标优化实现负荷转移,有效规避了传统策略中的性能折中现象.该方法能够兼顾供电可靠性、经济性与快速恢复性,为配电网电源侧故障处理提供了全新技术路径,具有显著的工程实用价值与推广前景.未来研究将进一步结合动态拓扑重构与智能预测技术,增强其在复杂故障场景下的适应性.

[Objective]Power supply side faults in distribution networks are prone to cause three-phase current unbalance,which may further lead to regional power supply interruption and threaten the safe and stable operation of the power grid.Traditional load transfer strategies usually only focus on power balance,without fully considering the impact of negative sequence current distribution on system recovery,which tends to result in disadvantages such as low recovery efficiency and frequent switch operations.To address this problem,aiming at the scenario of power supply side faults in distribution networks,a regional maintenance load transfer method was proposed to achieve efficient grid recovery after faults and optimize load loss,network loss,and the number of switch operations.[Methods]The symmetrical component method was adopted to calculate the negative sequence current in the fault composite sequence network.By comparing the phase difference between the fault phase voltage phasor and the negative sequence current and setting a threshold value,the area to be restored and power outage area were accurately located.After the area division,load transfer was carried out.A multi-objective load transfer optimization model was established,which took the minimization of combined load loss,the number of tie switch operations,and additional network loss as the objectives,with six constraints including topological structure and load controllability set.In view of the conflicts among multiple objective functions,a hybrid algorithm combining genetic algorithm and heuristic search algorithm was used for solution,which could effectively avoid falling into local optimal solutions.Based on the topological analysis and judgment results,available tie switches and preliminary load transfer schemes were searched.Combined with various influencing factors,the hybrid algorithm was applied to obtain the optimal transfer path and generate the best load transfer scheme.By adjusting the states of tie switches,the load was transferred from the area to be restored to the power outage area,which thereby restored power distribution and supply.[Results]To verify the effectiveness of the proposed method,a simulation test was carried out on a 10 kV distribution network in a certain area.The test results show that the average load loss of the proposed method is only 0.215 3 kW,and the additional network loss is relatively small.The minimum number of tie switch operations is only 9 times,and the voltage of each node is generally maintained at a high level,which ensures power supply reliability.[Conclusions]By accurately analyzing the negative sequence current distribution,reasonably dividing the fault-affected areas,and realizing load transfer based on multi-objective optimization,the proposed method effectively avoids the performance trade-off phenomenon in traditional strategies.This method can balance power supply reliability,economy,and rapid recoverability,providing a new technical path for handling power supply side faults in distribution networks,which has significant engineering practical value and popularization prospects.Future research will further combine with dynamic topological reconfiguration and intelligent prediction technologies to enhance its adaptability in complex fault scenarios.

韩君孝;范钟;李永清;张小江;张乐桢

兰州交通大学电气工程学院,甘肃兰州 730070||国网甘肃省电力公司白银供电公司 城区供电分公司,甘肃白银 730900国网甘肃省电力公司白银供电公司 城区供电分公司,甘肃白银 730900国网甘肃省电力公司白银供电公司 设备管理部,甘肃白银 730900国网甘肃省电力公司白银供电公司 白银银珠电力(集团)有限责任公司,甘肃白银 730900国网甘肃省电力公司白银供电公司 数字化通信部,甘肃白银 730900

信息技术与安全科学

配电网电源侧故障区域检修负序电流特性负荷转移遗传算法启发式搜索多目标优化

distribution networkpower supply side faultregional maintenancenegative sequence current characteristicload transfergenetic algorithmheuristic searchmulti-objective optimization

《沈阳工业大学学报》 2026 (3)

32-39,8

甘肃省自然科学基金项目(21JR7RA300)国网甘肃省电力公司白银供电公司项目(SGGSBY00HUS2310696).

10.7688/j.issn.1000-1646.2026.03.05

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