郑 颖, 李锴科, 杨永刚, 余光明. 基于事故负荷损失指标的配电网多目标规划研究[J]. 现代电力, 2016, 33(3): 48-54.
引用本文: 郑 颖, 李锴科, 杨永刚, 余光明. 基于事故负荷损失指标的配电网多目标规划研究[J]. 现代电力, 2016, 33(3): 48-54.
ZHENG Ying, LI Kaike, YANG Yonggang, YU Guangming. Study of Multi\|objective Distribution Network Planning Based on the Contingency\|load\|loss Index[J]. Modern Electric Power, 2016, 33(3): 48-54.
Citation: ZHENG Ying, LI Kaike, YANG Yonggang, YU Guangming. Study of Multi\|objective Distribution Network Planning Based on the Contingency\|load\|loss Index[J]. Modern Electric Power, 2016, 33(3): 48-54.

基于事故负荷损失指标的配电网多目标规划研究

Study of Multi\|objective Distribution Network Planning Based on the Contingency\|load\|loss Index

  • 摘要: 针对以往配网可靠性指标计算依赖于故障率和故障持续时间而很难在实际中应用的问题,提出基于事故负荷损失指标(CLLI)的配电网多目标规划方法,证明了CLLI指标与系统平均停电持续时间(SAIDI)、用户平均停电持续时间(CAIDI)等可靠性评价指标具有很强的相关性;在计算指标值时考虑了不同负荷类型的可靠性需求,有效表示不同网架的可靠性程度;在配电网规划包含了分段开关、自动重合闸(RA)等设备的规划以增强配电网可靠性。使用改进的快速非支配遗传算法(NSGA-Ⅱ)对经济性和可靠性目标函数进行同时寻优,得到可行的非支配解;以一个21节点系统进行验证,表明所提模型和算法具有较强的可行性和高效性。

     

    Abstract: The past reliability index for distribution network planning is calculated based on the failure rate and failure duration, it is difficult to be applied in practice, so the multiple objectives planning method based on contingency\| load\|loss index (CLLI) is put forward, which proves that the CLLI has strong correlation with such reliability assessment indexes as SAIDI and CAIDI. These indexes are calculated by considering the reliability requirement of different load types, which can effectively represent the reliability of the different types of network frame. The planning of such devices as sectionalizing switches, automatic reclosing (RA) switch are considered in distribution network planning to improve the reliability of the distribution network. The improved dominant sorting genetic algorithm (NSGA\|Ⅱ) is used for optimizing such objectives as economic and reliability indexes at the same time, and a set of feasible solutions is obtained. By taking a 21\|nodes system as example, it is verifies that proposed model and algorithm has strong feasibility and superiority.

     

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