基于计算智能的输电网优化规划模型
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Transmission Network Optimal Planning Model Based on Computational Intelligence
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    摘要:

    针对电力系统的运行场景趋于多样化和复杂化特点,考虑传统输电网规划时忽略不确定性引起的输电阻塞场景问题,提出一种考虑输电阻塞的网络规划模型。基于多约束模型确定不同传输场景下的发电机有功功率和用户负荷;基于经济调度模型建立考虑阻塞场景的输电网规划约束模型;基于改进的多约束缎蓝园丁鸟优化算法(multi-constraints satin-bowerbird optimizer,MCSBO)求解多约束条件输电网规划模型。以某市简化的6节点电力网络为例,对所提规划方法的有效性进行验证。结果表明:经过规划后,不同场景阻塞程度明显得到改善,规划前输电平均阻塞程度为0.49,规划后降低为0.09,约提高4.4倍。

    Abstract:

    In view of the diversification and complexity of power system operation scenarios, a network planning model considering transmission congestion is proposed, which considers the transmission congestion scenario caused by the neglect of uncertainty in traditional transmission network planning. The multi-constraint model is used to determine the active power of generators and user loads under different transmission scenarios; the economic dispatch model is used to establish the constraint model of transmission network planning considering congestion scenarios; and the improved multi-constraints satin-bowerbird optimizer (MCSBO) is used to solve the multi-constraint transmission network planning model. The effectiveness of the proposed planning method is verified by a simplified 6-node power network in a city. The results show that after the planning, the congestion degree of different scenarios is significantly improved, the average congestion degree of transmission is 0.49 before the planning, and it is reduced to 0.09 after the planning, which is about 4.4 times higher.

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严 昭.基于计算智能的输电网优化规划模型[J].,2025,44(09).

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  • 收稿日期:2024-09-13
  • 最后修改日期:2024-10-28
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  • 在线发布日期: 2025-11-04
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