Wang Zebin, Li Yu, Zhang Guodao, Pan Xiaotian, Li Ji
Zhejiang College of Security Technology, Wenzhou, 325000, China.
College of Engineering, Ocean University of China, Qingdao, 266100, China.
Heliyon. 2024 May 31;10(11):e32205. doi: 10.1016/j.heliyon.2024.e32205. eCollection 2024 Jun 15.
The integration of distributed generation resources in power systems offers various advantages, such as peak load management and reduced transmission line congestion. However, it also introduces challenges related to voltage stability. This paper presents a novel multi-objective model for optimizing the allocation of solar resources in radial distribution systems. The model aims to achieve an optimal voltage profile, minimize losses, and maximize penetration levels. To address the conflicting nature of these objectives, a refined multi-objective slime mold algorithm (MOSMA) is proposed. This algorithm demonstrates exceptional capabilities in finding Pareto fronts, avoiding local optima, and effectively solving multi-objective problems compared to other optimization methods. Additionally, the corrected social hierarchy method is integrated to enhance performance. The proposed method is evaluated using a standard system under various operational conditions, showing superior results in terms of maintaining an acceptable voltage profile and significantly reducing losses. The study reveals that while losses decrease for penetration levels ranging from low to medium, they start to increase for levels exceeding 100 %. Notably, the proposed method achieves approximately 12 % system efficiency improvement, as measured by the voltage profile, at a penetration level of 300 %. These findings highlight the effectiveness of the proposed method, even at high penetration levels, surpassing other optimization approaches based on the inverse generation distance parameter.
电力系统中分布式发电资源的整合具有诸多优势，例如峰值负荷管理和减少输电线路拥堵。然而，它也带来了与电压稳定性相关的挑战。本文提出了一种用于优化径向配电系统中太阳能资源分配的新型多目标模型。该模型旨在实现最优电压分布、最小化损耗并最大化渗透率。为了解决这些目标之间的冲突性质，提出了一种改进的多目标黏菌算法（MOSMA）。与其他优化方法相比，该算法在寻找帕累托前沿、避免局部最优以及有效解决多目标问题方面展现出卓越能力。此外，还集成了修正的社会等级方法以提高性能。使用标准系统在各种运行条件下对所提出的方法进行评估，结果表明在维持可接受的电压分布和显著降低损耗方面具有优异表现。研究表明，虽然渗透率从低到中范围时损耗会降低，但超过100%时损耗开始增加。值得注意的是，在所提出的方法在300%的渗透率水平下，以电压分布衡量，系统效率提高了约12%。这些发现突出了所提出方法的有效性，即使在高渗透率水平下也超过了基于反向发电距离参数的其他优化方法。
