论文标题
使用基于群的算法的功率系统网络中的最佳DG分配和尺寸
Optimal DG allocation and sizing in power system networks using swarm-based algorithms
论文作者
论文摘要
分布式生成（DG）单位是对当前电力系统网络架构非常重要的发电厂。增加这些DG单元的好处是增加网络的电源。但是，如果未正确分配和/或大小，这些DG单元的安装可能会引起不利影响。因此，有必要最佳地分配和大小，以避免诸如电压不稳定和昂贵的投资成本之类的案例。在本文中，开发了两种基于群体的元元素算法，粒子群优化（PSO）和鲸鱼优化算法（WOA），以求解最佳的DG单位放置和尺寸，以寻求传输网络计划。一种支持技术，损失敏感性因子（LSF）用于识别潜在的总线，以最佳DG单位位置。在两个IEEE BUS测试系统（14和30总线）上确认了算法的可行性。比较结果表明，这两种算法都产生了良好的解决方案，并且它们在不同的指标中相互优于彼此。与PSOS的6.47 MW和11.73 MW相比，考虑到IEEE 14总线和30总线测试系统中技术经济因素的WOA实际功率损失减少为6.14兆瓦和10.77兆瓦。与WOAS的152.21 MW和82.44 MW相比，PSO在两个总线系统中的总DG单位大小较小，总DG单位大小较小。该论文揭示了PSO和WOA在传输网络中DG单位最佳尺寸时的优势和缺点。
Distributed generation (DG) units are power generating plants that are very important to the architecture of present power system networks. The benefit of the addition of these DG units is to increase the power supply to a network. However, the installation of these DG units can cause an adverse effect if not properly allocated and/or sized. Therefore, there is a need to optimally allocate and size them to avoid cases such as voltage instability and expensive investment costs. In this paper, two swarm-based meta-heuristic algorithms, particle swarm optimization (PSO) and whale optimization algorithm (WOA) were developed to solve optimal placement and sizing of DG units in the quest for transmission network planning. A supportive technique, loss sensitivity factors (LSF) was used to identify potential buses for optimal location of DG units. The feasibility of the algorithms was confirmed on two IEEE bus test systems (14- and 30-bus). Comparison results showed that both algorithms produce good solutions and they outperform each other in different metrics. The WOA real power loss reduction considering techno-economic factors in the IEEE 14-bus and 30-bus test system are 6.14 MW and 10.77 MW, compared to the PSOs' 6.47 MW and 11.73 MW respectively. The PSO has a more reduced total DG unit size in both bus systems with 133.45 MW and 82.44 MW compared to WOAs' 152.21 MW and 82.44 MW respectively. The paper unveils the strengths and weaknesses of the PSO and the WOA in the application of optimal sizing of DG units in transmission networks.
