基于LSF和粒子群算法的自治微电网分布式发电机优化配置与规模研究

M. Anand, W. Ongsakul, J. Singh, K. Sudhesh
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引用次数: 4

摘要

以分布式发电机组密集渗透为目标的未来配电系统,给电力系统的运行和规划带来了更大的挑战。本文研究了基于电压分布、功率损耗、总DG规模和可靠性的自治和非自治微网模式下DG优化配置和规模的不同方法的有效性。本文首先比较了非自治微网模式下基于有效潮流的损失敏感因子(LSF)方法和基于有功功率注入的LSF方法在DG分配中的应用。在对dg进行选址后,对非自治模式微网运行进行了基于LSF的优化调度。随后,在微网非自治模式运行的基础上,根据dg的最优规模和最优选址,将微网转换为自治模式。此外,采用基于pso - tview的上色方法对所得结果进行了改进。将该方法应用于标准IEEE 33总线径向系统,并将其转化为自主微电网进行验证。
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Optimal allocation and sizing of distributed generators in autonomous microgrids based on LSF and PSO
The future power distribution system which aims for an intensive penetration of Distributed generators (DGs) makes the power system operation and planning more challenging. This paper investigates the effectiveness of different methods for optimal allocation and sizing of DGs in autonomous and non-autonomous micro-grid modes based on the voltage profile, power losses, total DG size and reliability. In the proposed work initially, an effective power flow based loss sensitivity factor (LSF) method and active power injection based LSF method for DG allocation are compared in non-autonomous micro-grid mode. After siting DGs, LSF based optimal sizing has been executed in non-autonomous mode micro-grid operation. Later, the micro-grid has been converted into autonomous mode based on the optimal sizing and siting of DGs in non-autonomous mode operation. Additionally, the obtained results have been improved by PSO-TVIW based sizing method. The proposed methodology is adopted in standard IEEE 33 bus radial system which has been converted into autonomous micro-grid for verification.
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