基于随机模糊潮流的三相不平衡配电网节能降损方法
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作者:
通讯作者:

张辰琪(1994—),女,硕士,工程师,主要从事电气工程及其自动化研究;E-mail:zjhg234@163.com

中图分类号:

TM73

基金项目:

国网北京市电力公司科技攻关项目(202202018001X)


Research on energy saving and loss reduction method of three-phase unbalanced power grid based on stochastic fuzzy power flow
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    摘要:

    为有效降低三相不平衡导致的配电网能量损耗,提出一种基于随机模糊潮流的三相不平衡配电网节能降损方法。分析三相不平衡配电网的危害,获取配电网不平衡状态程度和线路有功损耗。充分考虑配电网三相不平衡状况下负荷的不确定性影响,采用随机模糊相容性方法对配电网线路的负荷执行模糊建模操作,将所获模糊输入变量引入潮流模型中,构建三相不平衡模糊潮流模型,获取三相模糊潮流计算结果的配电网有功功率损耗。并构建节能降损目标函数,采用动态改变因子粒子群算法求解获得最优解,实现配电网节能降损。算例仿真计算结果表明:该方法可以实现三相不平衡下的配电网节能降损,且目标函数求解时收敛性能较好,节能降损效率较高。

    Abstract:

    In order to effectively reduce the power loss caused by three-phase imbalance in distribution network, an energy saving and loss reduction method of three-phase imbalance distribution network based on random fuzzy power flow is proposed. This paper analyzes the harm of three-phase unbalanced distribution network, and obtains the unbalanced degree of distribution network and active power loss of line. Considering the uncertain influence of three-phase balanced distribution network load, the random fuzzy compatibility method is used to perform fuzzy modeling of the loads of distribution networks. The obtained fuzzy input variables are introduced into the power flow model to construct a three-phase unbalanced fuzzy power flow model, which can be utilized to calculate the active power loss of distribution network. The objective function including energy saving and loss reduction is constructed, and the dynamic change factor particle swarm optimization algorithm is used to obtain the optimal solution, so as to achieve energy saving and loss reduction of distribution network. The case study shows that the proposed method can achieve energy saving and loss reduction of distribution network under the condition of three-phase imbalance, and the objective function has good convergence performance and high efficiency of energy saving and loss reduction.

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张辰琪,朱成昊,李洋,等.基于随机模糊潮流的三相不平衡配电网节能降损方法[J].电力科学与技术学报,2022,37(6):212-218.
ZHANG Chenqi, ZHU Chenghao, LI Yang, et al. Research on energy saving and loss reduction method of three-phase unbalanced power grid based on stochastic fuzzy power flow[J]. Journal of Electric Power Science and Technology,2022,37(6):212-218.

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  • 在线发布日期: 2023-01-16
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