
1.上海电力大学 海上风电研究院, 上海市 杨浦区 200090
2.国网上海市电力公司, 上海市 浦东新区 200120
[ "李振坤(1982),男,博士,教授,博士生导师,通信作者,研究方向为配电网规划及运行控制、分布式电源并网及微电网、主动配电网技术等,E-mail:lzk021@163.com" ]
[ "张天翼(1999),男,硕士研究生,研究方向为配电网故障恢复与韧性评估,E-mail:zty990427@126.com" ]
[ "徐冰雁(1980),男,硕士,高级工程师,研究方向为配电网规划,E-mail:xubingyan2@163.com" ]
[ "赵向阳(1993),男,硕士,研究方向为主动配电网的自愈控制与决策技术,E-mail:shiep_zhao1993@163.com" ]
[ "叶影(1985),男,硕士,高级工程师,研究方向为配电网规划,E-mail:yeying@163.com" ]
[ "符杨(1968),男,博士,教授,博士生导师,研究方向为风力发电及电力系统规划,E-mail:mfudong@126.com" ]
收稿:2023-01-28,
录用:2023-07-13,
纸质出版:2025-04-10
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李振坤, 张天翼, 徐冰雁, 等. 计及运行风险的配电网故障后供电恢复决策及广义动态孤岛划分[J]. 现代电力, 2025,42(2):281-292.
Zhenkun LI, Tianyi ZHANG, Bingyan XU, et al. Power Restoration Decision and Generalized Dynamic Islanding Strategy After Distribution Network Failure Considering Operational Risks[J]. Modern electric power, 2025, 42(2): 281-292.
李振坤, 张天翼, 徐冰雁, 等. 计及运行风险的配电网故障后供电恢复决策及广义动态孤岛划分[J]. 现代电力, 2025,42(2):281-292. DOI: 10.19725/j.cnki.1007-2322.2023.0022.
Zhenkun LI, Tianyi ZHANG, Bingyan XU, et al. Power Restoration Decision and Generalized Dynamic Islanding Strategy After Distribution Network Failure Considering Operational Risks[J]. Modern electric power, 2025, 42(2): 281-292. DOI: 10.19725/j.cnki.1007-2322.2023.0022.
当配电网发生重大故障时,合理的孤岛运行方案对于负荷供电恢复以及系统韧性提升具有重要意义。因此,深入研究了利用传统联络线和新兴分布式电源(distributed generation
DG)对配电网故障停电区域进行综合供电恢复的问题。首先,通过将联络线路等效为虚拟DG,使得该综合供电恢复问题统一简化为基于DG的广义孤岛划分问题;然后,为了充分量化故障时段内的孤岛运行风险,从功率平衡和电压稳定角度定义了孤岛运行风险指标,并基于机会约束优化模型提出了孤岛运行风险的动态约束方法;接着,提出了计及运行风险的配电网广义动态孤岛划分策略,该策略可根据DG出力、负荷时序变化、节点电压水平等风险因素,动态调整孤岛范围,在最大程度利用故障时段内DG资源的同时,保障孤岛运行的稳定性与持续性;针对动态孤岛划分方案求解难度高的问题,利用改进的分支定界法,结合启发式算法,求解和动态修正孤岛方案,保证了突发事故下恢复决策的合理性和时效性。最后,基于40节点的配电网算例进行仿真实验和分析,验证了所提方案的有效性。
A reasonable islanding operation strategy is of great significance for power restoration as well as system resilience enhancement when major failures occur in the distribution network. Therefore
the problem of utilizing traditional contact lines and emerging distributed generation (abbr. DG) to restore integrated power to outage areas in the distribution network was profoundly studied. Firstly
the integrated power restoration problem was uniformly simplified as a generalized DG-based islanding problem by equating the contact lines to virtual DGs. Secondly
to adequately quantify the risk of islanding operation during failure hours
the islanding operation risk indicators were defined from the perspectives of power balance and voltage stability
and a dynamic constraint method for islanding operation risk was proposed based on the opportunity constrained optimization model. Subsequently
a generalized dynamic islanding strategy for distribution networks considering operational risks was proposed. This strategy can dynamically adjust the island range based on risk factors such as DG output
load timing changes
and node voltage levels
maximizing the utilization of DG resources during fault periods while ensuring the stability and sustainability of island operation. In allusion to the problem of high difficulty in solving the dynamic islanding strategy
the improved branch-and-bound method in combination with the heuristic algorithm was used to solve and dynamically modify the islanding strategy to ensure the rationality and timeliness of recovery decisions under emergencies. Finally
simulation experiments and analysis were carried out based on a 40 node distribution network example to verify the effectiveness of the proposed method.
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