基于QPSO算法的配电网分布式发电最优选址

B. Hussain, A. Amin, A. Mahmood, M. Usman
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引用次数: 1

摘要

对环境的关注、技术的改进和对电力市场的放松管制鼓励了分布式发电(DG)的使用。DG的最佳选址可以通过减少网络损耗和提高系统电压来提高配电系统的效率。寻找配电网DG的最优位置是一个复杂的优化问题。在本文中,我们展示了粒子群优化(PSO)的改进版本,称为量子行为粒子群优化(QPSO)算法,以确定DG机组的最佳位置,以实现功率损耗最小化。采用IEEE 33标准和69节点配电网验证了所述方法的有效性。仿真结果与文献吻合,证明了QPSO通过寻找更精确的DG安装位置,具有更好的降低网络损耗和提高系统电压的能力。
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An Optimal Site Selection for Distributed Generation in the Distribution Network by QPSO Algorithm
Environmental concerns, technology improvement and deregulation of electricity markets have encouraged the use of Distributed Generation (DG) sources. An optimal site selection for DG placement can improve distribution system efficiency by minimizing network losses and improving system voltage. Finding an optimal place of DG for a distribution network is a complex optimization issue. In this paper, we have demonstrated the modified version of Particle Swarm Optimization (PSO) called Quantum Behaved PSO (QPSO) algorithm to determine optimal location of DG units for power loss minimization. A standard IEEE 33 and 69-node distribution network are used to validate the effectiveness of the demonstrated method. The simulation results are matched with the literature and it is established that the QPSO has better ability to minimize network losses and improve system voltage by finding more precise location for DG installation.
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