使用最佳电容器位置和尺寸的配电系统的功率损耗最小化和电压分布改善

Egeruo Sochima Abraham, I. Oluwafemi
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摘要

配电系统运营商很难在整个网络中保持正确的电压分布。随着客户生活水平的提高,抑制负荷往往会出现,这反过来又会要求和增加电力供应需求。电力需求的增加和配电端的高负荷密度已经被认为是电力系统中功率损耗增加和电压分布降低的主要后果,这严重损害了径向配电网忠实地计算从输变站接收的电力的能力。这项工作旨在改善最终用户的电能质量。并联电容器被认为是解决这个问题的合适方法,因为它们提供补偿所需的无功功率。因此,这些并联电容器的最佳位置和尺寸受到了极大的关注。尽管它很有效,但在尼日利亚RDS(径向分配系统)中很少使用元启发式算法,因为大多数已发表的研究都使用分析和数值规划方法。因此,本研究解释了如何使用粒子群优化(PSO和GA)的混合解决方案(HS)来识别和确定并联电容器的尺寸,以实时降低11kv配电馈线的功率损耗。采用带损耗敏感因子(LSF)的前向扫描潮流法确定适合并联电容器安装的母线,然后采用HS算法估计最佳尺寸。该方法可使系统实际功率损耗降低54.88%,同时将最小母线电压幅值提高到可接受的极限,从而提高系统的最小电压稳定指数(VSI)。基于这些发现,建议的技术被认为是一种可行的方法,用于放置和确定在现实世界的径向配电系统中并联电容器的大小。数值计算结果表明,该方法具有较好的改善配电网电压分布的能力,从而提高系统电能质量,使系统损耗最小化,修正功率因数,使净节约最大化。利用MATLAB软件包进行了数值计算。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Power loss minimization and voltage profile improvement on electrical power distribution systems using optimal capacitor placement and sizing
Distribution system operators are having difficulties maintaining a correct voltage profile across its network. As the standard of living of its customers increases, suppressed loads tend to come up and this in turn would require and increased demand in power supply. The increase in power demand and high load density at distribution ends have been seen to have key consequences of increasing the power loss and reducing the voltage profile in power systems, which seriously jeopardizes the ability of radial distribution networks to faithfully account for the power received from transmission stations. This work is aimed at improving the power quality that gets to the end users. Shunt capacitors have been suggested to be a suitable solution to this problem as they supply the reactive power needed for compensation. As a result, the optimum placement and size of these shunt capacitors have received a great deal of attention. Despite its efficacy, meta-heuristic algorithms are seldom utilized in the Nigerian RDS (radial distribution system), since most published research instead uses analytical and numerical programming methods. As a result, this research explains how to use a Hybrid Solution (HS) of Particle Swarm Optimization (PSO and GA) to identify and size shunt capacitors for real-time power loss reduction on an 11-kV distribution feeder. The backward-forward sweep load flow method with Loss Sensitivity Factor (LSF) is used to identify suitable buses for shunt capacitor installation, and the HS algorithm is then used to estimate the optimum size. This method was discovered to decrease the system's real power loss by 54.88% while raising the minimum bus voltage magnitude to the acceptable limit and thus improving the minimum system Voltage Stability Index (VSI). Based on these findings, the suggested technique is regarded as a viable way for placement and determining the size of shunt capacitors in a real-world Radial Distribution System. The numerical results shows that the approach has a high capability of improving the voltage profile of the distribution network, leading to an improved system power quality, minimize the system losses, correct the power factor, and maximize the net savings. The numerical results were gotten by using MATLAB package.
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