首页> 外文会议>Power Engineering and Automation Conference (PEAM), 2011 IEEE >An optimal current control strategy for a three-phase grid-connected photovoltaic system using Particle Swarm Optimization
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An optimal current control strategy for a three-phase grid-connected photovoltaic system using Particle Swarm Optimization

机译:基于粒子群算法的三相并网光伏发电系统最优电流控制策略

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A robust current control strategy for PV (photovoltaic) grid-connected systems is required for reliable use of solar energy as an abundant and clean renewable energy. This paper presents real time optimization parameters of the current control strategy for a 3-phase photovoltaic grid-connected Voltage Source Inverter (VSI) system. The proposed controller scheme is implemented based on a synchronous reference frame; the Phase-Locked Loop (PLL) is used as grid phase detector. Particle Swarm Optimization (PSO) algorithm is an intelligent searching algorithm that is used to implement the real time self-tuning method for the current control parameters. Two conventional PI controllers are used and feed-forward compensation is applied with the inner inverter current control loop to achieve fast dynamic response. The main aim of this work is to achieve high dynamic response for the inverter output current with acceptable harmonics level in steady-state condition all of which is required for power quality improvement. The results show that the proposed strategy provides an excellent dynamic response within real time optimization.
机译:用于PV(光伏)电网连接系统的强大电流控制策略是可靠地使用太阳能作为一种丰富和清洁的可再生能源。本文为三相光伏电网连接电压源逆变器(VSI)系统的电流控制策略提供了实时优化参数。所提出的控制器方案是基于同步参考帧实现的;锁相环(PLL)用作网格相位检测器。粒子群优化(PSO)算法是一种智能搜索算法,用于实现当前控制参数的实时自调谐方法。使用两个传统的PI控制器,并使用内逆变器电流控制回路施加前馈补偿以实现快速动态响应。这项工作的主要目的是为稳态条件中具有可接受的谐波水平的逆变器输出电流来实现高动态响应,所有这些都是功率质量改进所必需的。结果表明,该策略在实时优化内提供了出色的动态响应。

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