智能电网中可再生与不可再生资源的优化配置与规模

Devisree Chippada, M. D. Reddy
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引用次数: 0

摘要

分布式发电机(dg)与智能电网技术的重大创新一起,在现有的配电网中发挥着关键作用。现在更重要的是评估系统内各种类型的dg。可再生能源类型的dg,如光伏和风能,承诺低排放和丰富的可用性。在DG的安装中,DG的大小、位置和类型应该受到高度重视,因为DG机组的不当放置会降低配电系统的效益,甚至危及整个系统的运行。如果DG尺寸超过某一数值限制,则该母线的功率损耗变为负值。这种情况必须避免。因此,最佳的DG放置有助于减少损耗,改善电压分布,可靠性和整体系统效率。考虑到这一点,本文采用同步粒子群优化算法(PSO)对配电系统中多类型、多数量dg的布局分配和尺寸调整进行了研究,其目标是使有功和无功损耗最小,并增强电压分布。在元启发式优化算法的基础上,分析了指标向量法、损耗敏感因子法和电压稳定裕度法等灵敏度技术。使用上述灵敏度相关方法在IEEE 15、33、69和85径向总线系统上获得了结果,并与同步PSO的有效性进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal Placement and Sizing of Renewable and Non-Renewable Resources in Smart Grid
Distributed Generators (DGs) play a key role in existing power distribution networks together with significant innovations in smart grid technology. It is now more essential to evaluate the various types of DGs within the system. Renewable energy types of DGs such as PV and wind promise low emissions and abundant availability. When it comes to the installation of DG, the size, location, and type of DG should be given high importance because improper placement of DG units leads to reducing the benefits of the distribution system and even endangers the entire system operation. If DG size exceeds a certain value limit, power loss at that bus becomes negative. This situation must be avoided. As a result, optimal DG placement aids in the reduction of losses, improvement of voltage profiles, reliability, and overall system efficiency. Considering this, in this paper, a Simultaneous Particle Swarm Optimization (PSO) algorithm is implemented for placement allocation and sizing of multiple types and multiple numbers of DGs in power distribution systems with the objectives of minimization of active and reactive power loss and enhanced voltage profile. Along with the meta-heuristic optimization algorithm, sensitivity techniques such as index vector, loss sensitivity factor, and voltage stability margin methods have been analysed. The outcomes are obtained using the aforementioned sensitivity-related methods on the IEEE 15, 33, 69, and 85-radial bus systems and compared with simultaneous PSO for efficacy.
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