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Three-phase optimal load flow model and algorithm for active distribution networks

机译:有源配电网的三相最优潮流模型和算法

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Three-phase distribution network optimal load flow (T-OLF) cannot be exactly linearized to mixed integer second order cone programming(MI-SOCP) like single-phase branch flow based OLF. Hence, interior point based OLF (IP-OLF) and mixed integer nonlinear programming based OLF (MINLP-OLF) are both tried out to cope with T-OLF in this paper. For IP-OLF, a quadratic three-phase transformer model is proposed to guarantee IP-OLF applying constant Hessian matrix during iterative process. For MINLP-OLF, to gain better optimization results, a Mixed-Integer Quadratically-Constrained Quadratic Program model (MIQCQP) of T-OLF is formulated via binary scheme and big-M method. Numerical tests implemented on simple 4-bus system, IEEE 13-bus and IEEE 34-bus distribution test feeders verify the validity of proposed models and algorithms.
机译:像基于单相分支流的OLF一样,三相配电网络的最优潮流(T-OLF)不能精确地线性化为混合整数二阶锥规划(MI-SOCP)。因此,本文尝试了基于内点的OLF(IP-OLF)和基于混合整数非线性规划的OLF(MINLP-OLF)来应对T-OLF。对于IP-OLF,提出了一种二次三相变压器模型,以保证IP-OLF在迭代过程中使用恒定的Hessian矩阵。对于MINLP-OLF,为了获得更好的优化结果,采用二进制方案和big-M方法构造了T-OLF的混合整数二次约束二次程序模型(MIQCQP)。在简单的4总线系统,IEEE 13总线和IEEE 34总线配电测试馈线上进行的数值测试验证了所提出的模型和算法的有效性。

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