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Power supply capability evaluation for unbalanced three-phase distribution network with distributed generators

机译:带有分布式发电机的不平衡三相配电网的供电能力评估

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With the extensive penetration of distributed generators (DGs), especially photovoltaic generators and other intermittent DGs, the intrinsic characteristic of three-phase unbalanced condition of distribution network becomes even more prominent. It brings a new challenge to the evaluation of power supply capability (PSC) for distribution network. The evaluation model of PSC for unbalanced three-phase distribution network with DGs is proposed. In this model with the objective of maximizing the power supply load for distribution network, the operation constraints of bus voltage magnitude, branch current, transformer capacity, packet switch capacitor and three-phase bus voltage unbalance degree are taken into account. An algorithm of quantum particle swarm optimization (QPSO) was put forward to solve this problem. The algorithm uses the advantages of superposition state and probability expression, which improves the ability for global optimization. The simulation results of the modified IEEE33-bus three-phase distribution system show that the proposed model and algorithm are effective.
机译:随着分布式发电机(DG),尤其是光伏发电机和其他间歇性DG的广泛渗透,配电网三相不平衡状态的内在特征变得更加突出。它给配电网络的电源能力(PSC)评估带来了新的挑战。提出了带有DGs的不平衡三相配电网的PSC评估模型。在该模型中,以最大化配电网络的电源负载为目标,考虑了总线电压幅值,支路电流,变压器容量,分组开关电容器和三相总线电压不平衡度的操作约束。为解决这一问题,提出了一种量子粒子群优化算法。该算法具有叠加状态和概率表示的优点,从而提高了全局优化的能力。改进的IEEE33总线三相配电系统的仿真结果表明,所提出的模型和算法是有效的。

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