基于自适应加权粒子群算法的改善电压质量的分布式发电优化配置

J. Cheng, Yurui He, Huwei Cao, H. Shi, Jing Hu, T. Ding
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引用次数: 2

摘要

针对高渗透分布式发电并网造成的配电网节点电压超限问题,首先分析了单、多DG并网对电压分布的影响,分析了DG并网方式、容量、位置、功率因数等不同的影响因素。其次,以总电压偏差最小为目标,建立了考虑潮流、节点电压、支路电流、DG容量等多种约束的DG最优配置数学模型,并采用自适应加权粒子群算法(AWPSO)进行求解;最后以IEEE33节点配电网模型为例,验证了上述方法的合理性和有效性。结果表明,该方法能有效地控制电压偏差和网损。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal Configuration of Distributed Generation for Improving Voltage Quality Based on Adaptive Weighted PSO
Aiming at the problem of over-limit of distribution network node voltages caused by high-permeability distributed generation (DG) grid connection, the influence that single and multiple DG grid connection has on voltage distribution is analyzed firstly, and the different influencing factors such as DGs connection mode, capacity, location, and power factor are analyzed. Secondly, the minimization of total voltage deviation is taken as the target, and the optimal configuration mathematical model of DG considering various constraints such as power flow, node voltage, branch current, and DG capacity is established, and it is solved by adaptive weighted particle swarm optimization (AWPSO) algorithm. Finally, the IEEE33 node distribution network model is taken as an example to verify the rationality and effectiveness of the above method. The results show that the method can effectively control voltage deviation and network loss.
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