| 引用本文: | 任建文,魏俊姣,谷雨峰.基于多目标粒子群优化算法的连锁跳闸预防控制[J].电力自动化设备,2016,36(7): |
| REN Jianwen,WEI Junjiao,GU Yufeng.Preventive control based on multi-objective particle swarm optimization algorithm for cascading trips[J].Electric Power Automation Equipment,2016,36(7): |
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| 摘要: |
| 为了克服传统优化算法存在的计算量大以及参与调整的设备过多等不足，首先识别对节点增加的注入功率敏感的脆弱线路，并将其与重新定义的重载线路共同构成敏感线路集作为控制算法的约束条件；然后根据线路负载率以及灵敏度得到各节点的综合灵敏度，剔除作用微小的控制变量，以实现优选参与调整的设备，进一步减少计算量；最后，为了实现在满足尽可能少切负荷的同时做到参与调整的设备较少，建立基于多目标粒子群优化算法的连锁跳闸预防控制方法。IEEE 9节点和IEEE 39节点标准系统算例结果说明所提方法有效可行。 |
| 关键词: 负荷控制 敏感线路集 综合灵敏度 灵敏度分析 多目标 粒子群优化算法 连锁跳闸 预防控制 |
| DOI： |
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| 基金项目:国家自然科学基金资助项目（50837002） |
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| Preventive control based on multi-objective particle swarm optimization algorithm for cascading trips |
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REN Jianwen1, WEI Junjiao2, GU Yufeng1
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1.School of Electrical and Electronic Engineering，North China Electric Power University，Baoding 071003，China;2.State Grid Putian Electric Power Supply Company，Putian 351100，China
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| Abstract: |
| Aiming at the heavy computational load and multiple regulating equipments of traditional optimization algorithm，a control strategy based on the multi-objective particle swarm optimization algorithm to prevent the cascading trips is proposed，which realizes as less regulating equipments and less load shedding as possible. It identifies the vulnerable lines sensitive to the increased nodal injecting power，combines the identified vulnerable lines with the redefined overload lines to form a sensitive line set to be taken as the constraints of the control algorithm，calculates the integrative sensitivity for each node according to its load rate and sensitivity，neglects the control variables with little effect for realizing the optimal selection of regulating equipments and reducing the computational load. Case studies for IEEE 9-bus and IEEE 39-bus standard systems show that the proposed method is effective and feasible. |
| Key words: load control sensitive line set integrative sensitivity sensitivity analysis multi-objective particle swarm optimization algorithm cascading trips preventive control |
