Kamel Djermouni, Ali Berboucha, Salah Tamalouzt, Djamel Ziane
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引用次数: 0
Abstract
A healthy operation of photovoltaic installations (similar to all electrical systems) is always limited by breakdown, degradation due to aging, or imbalance caused by weather conditions. In this context, producing the maximum energy possible with an acceptable form factor is a significant challenge for autonomous systems, especially those connected to the grid. In this paper, we have two main issues to address. The first is determining the maximum power point of an unbalanced photovoltaic field (due to a defect or nonuniform weather conditions affecting the photovoltaic generators). For such a system, the particle swarm optimization (PSO) algorithm remains highly effective because it can easily handle the existence of multiple maxima simultaneously to provide the best possible solution. The second challenge is managing the imbalance between the three phases of the photovoltaic system. In this context, the results of conducted studies propose two approaches to balance and maximize the power supplied by the photovoltaic generator and converters. In addition, the presence of a battery storage system plays dual roles: firstly, compensating the power fluctuations due to nonuniform operating conditions between phases, and secondly, ensuring system power supply during periods of no sunlight exposure. The proposed approaches take into account the constraints imposed on DC voltages and currents to ensure optimal integration with the multilevel inverter stage (cascaded H-bridge multilevel inverters). This is achieved through selective harmonic elimination control without the need for a filtering system. A comparative study between these two approaches will be conducted to assess their advantages and disadvantages. The battery-based storage system efficiently absorbs excess energy and provides energy during deficits, thanks to a flexible control mechanism that allows easy switching between different battery groups and phases.
光伏装置(与所有电力系统类似)的健康运行总是受到故障、老化退化或天气条件造成的不平衡的限制。在这种情况下,以可接受的外形尺寸生产尽可能多的能源,对自主系统(尤其是与电网连接的系统)来说是一项重大挑战。在本文中,我们要解决两个主要问题。首先是确定不平衡光伏场的最大功率点(由于缺陷或影响光伏发电机的不均匀天气条件)。对于这种系统,粒子群优化(PSO)算法仍然非常有效,因为它可以轻松地同时处理多个最大值的存在,从而提供可能的最佳解决方案。第二个挑战是管理光伏系统三相之间的不平衡。在这种情况下,研究结果提出了两种方法来平衡和最大化光伏发电机和转换器提供的电力。此外,电池储能系统的存在具有双重作用:首先,补偿各相之间不均匀运行条件造成的功率波动;其次,确保在无阳光照射期间的系统供电。所提出的方法考虑到了对直流电压和电流的限制,以确保与多电平逆变器(级联 H 桥多电平逆变器)的最佳集成。这是通过选择性谐波消除控制实现的,无需滤波系统。将对这两种方法进行比较研究,以评估其优缺点。由于采用了灵活的控制机制,可在不同电池组和不同阶段之间轻松切换,因此基于电池的储能系统可有效吸收多余能量,并在能量不足时提供能量。
期刊介绍:
International Transactions on Electrical Energy Systems publishes original research results on key advances in the generation, transmission, and distribution of electrical energy systems. Of particular interest are submissions concerning the modeling, analysis, optimization and control of advanced electric power systems.
Manuscripts on topics of economics, finance, policies, insulation materials, low-voltage power electronics, plasmas, and magnetics will generally not be considered for review.