驾驭光伏系统集成的复杂性:考虑到不确定性和谐波失真管理的功率损耗最小化和电压曲线增强最佳解决方案

IF 1.6 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Stevan Rakočević, Martin Ćalasan, Snežana Vujošević, Milutin Petronijević, Shady H. E. Abdel Aleem
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引用次数: 0

摘要

本手稿研究了配电网络中光伏 (PV) 系统的最佳位置和大小。该问题被表述为一个多目标优化问题,旨在同时最小化功率损耗和提高电压曲线,同时考虑光伏发电输出的不确定性、用户负载需求的变化以及光伏逆变器引起的谐波电流注入对电能质量的影响。利用通用代数建模系统(GAMS)平台中嵌入的基本开源非线性混合整数编程(BONMIN)求解器,通过混合整数非线性编程(MINLP)方法获得最优解。通过两个案例研究评估了基于 BONMIN 的拟议方法的性能。在第一个案例中,BONMIN 求解器被用于 IEEE 33 总线测试系统中 1、2 和 3 个光伏的优化分配和大小确定。在目标函数最小化和数值效率方面,将获得的最优解与流行的元启发式算法--粒子群优化算法(PSO)、灰狼优化算法(GWO)、引力搜索算法(GSA)和蝙蝠算法(BAT)--进行了比较。第一种情况的结果表明,3 个优化放置的光伏电池可减少 26.46% 的损耗和 38.18% 的电压偏差。这些结果证明了所提方法的优越性,与元启发式替代方法相比,该方法在提高计算性能的同时,还能获得更好的最优解。在第二个案例中,BONMIN 求解器被应用于黑山现实世界 "Bijela "配电网络中的最优光伏集成问题,结果表明 3 个光伏的最优布置有助于减少 22.49% 的损耗和 28.14% 的电压偏差。此外,第二个案例的结果证实了 BONMIN 求解器在现实配电网络环境中优化光伏集成的适用性。此外,仿真结果表明,在这两个测试系统中,光伏的优化分配和大小对配电网电能质量的负面影响极小。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Navigating the complexity of photovoltaic system integration: an optimal solution for power loss minimization and voltage profile enhancement considering uncertainties and harmonic distortion management

Navigating the complexity of photovoltaic system integration: an optimal solution for power loss minimization and voltage profile enhancement considering uncertainties and harmonic distortion management

This manuscript investigates the optimal placement and sizing of Photovoltaic (PV) systems within electrical distribution networks. The problem is formulated as a multiobjective optimization, seeking to simultaneously minimize power losses and enhance voltage profiles while accounting for uncertainties in PV power output, variations in consumer load demand, and the impact of PV inverter-induced harmonic current injection on power quality. The optimal solution is obtained via a Mixed-Integer NonLinear Programming (MINLP) approach, leveraging the Basic Open-source Nonlinear Mixed-Integer programming (BONMIN) solver embedded within the General Algebraic Modeling Systems (GAMS) platform. The performance of the proposed BONMIN-based methodology is evaluated through two case studies. In the first case, the BONMIN solver is employed for the optimal allocation and sizing of 1, 2, and 3 PVs in the IEEE 33-bus test system. The obtained optimal solutions are compared with those from popular metaheuristic algorithms—Particle Swarm Optimization (PSO), Gray Wolf Optimizer (GWO), Gravitational Search Algorithm (GSA), and Bat Algorithm (BAT), in terms of both objective function minimization and numerical efficiency. The results in the first case showed that 3 optimally placed PVs contributed to a 26.46% loss reduction and 38.18% voltage deviation reduction. The results demonstrate the superiority of the proposed approach, which achieves better optimal solutions with enhanced computational performance relative to metaheuristic alternatives. In the second case, the BONMIN solver is applied to the optimal PV integration problem in the real-world “Bijela” distribution network in Montenegro, where the results show that the optimal placement of 3 PVs contributes to a 22.49% loss reduction and a 28.14% voltage deviation reduction. Furthermore, the findings in the second case confirm the applicability of the BONMIN solver for optimal PV integration in realistic distribution network environments. Additionally, the simulation results indicated minimal negative impacts of optimally allocated and sized PVs on the power quality of the distribution network for both test systems.

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来源期刊
Electrical Engineering
Electrical Engineering 工程技术-工程:电子与电气
CiteScore
3.60
自引率
16.70%
发文量
0
审稿时长
>12 weeks
期刊介绍: The journal “Electrical Engineering” following the long tradition of Archiv für Elektrotechnik publishes original papers of archival value in electrical engineering with a strong focus on electric power systems, smart grid approaches to power transmission and distribution, power system planning, operation and control, electricity markets, renewable power generation, microgrids, power electronics, electrical machines and drives, electric vehicles, railway electrification systems and electric transportation infrastructures, energy storage in electric power systems and vehicles, high voltage engineering, electromagnetic transients in power networks, lightning protection, electrical safety, electrical insulation systems, apparatus, devices, and components. Manuscripts describing theoretical, computer application and experimental research results are welcomed. Electrical Engineering - Archiv für Elektrotechnik is published in agreement with Verband der Elektrotechnik Elektronik Informationstechnik eV (VDE).
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