基于蚁群算法的配电网谐波量测点优化配置

谐波量测点的优化配置能有效提高配电网谐波状态估计的可观性和准确性。结合配电网特性,确定配电网量测装置配置原则,基于配电网拓扑数学模型计算系统状态的可观性。综合考虑配电网的节点状态可观测度和冗余度建立谐波量测点优化配置的数学模型,提出应用蚁群算法求解达到同一优化目标的多种量测配置优化方案,为规划设计结合现场实际情况择优选择。算例分析结果验证了该算法的有效性,PMU配置位置的优化减少了节点冗余度,增加了可观节点数目。

Optimal placement of harmonic measurement unit based on ant-algorithm for distribution network

An optimal placement of the harmonic measurement can effectively improve the feasibility and accuracy of the harmonic state estimation for a distribution network. The principle of placing the distribution network harmonic measuring unit is determined based on the characteristics of the distribution network. Using distribution network topology, a mathematical model is derived to calculate the node-voltage-state observability. The PMU optimal placement of the mathematical model is established with comprehensive considerations of the node-voltage-state observability degree and redundancy. Ant-algorithm is proposed to solve the optimal placement problem of the harmonic measuring unit, which can give a variety of schemes to meet the same optimization goal for the planning, and can be designed to choose the optimal solution according to the real situations. The results show that the ant-algorithm is effective for the optimal placement of the harmonic measurement. The redundancy of nodes is effectively reduced and the number of observable nodes is sufficiently increased by the optimal placement of the PMU.