Varun Sai Boni Satya, Mohanty Rupali, Mohanty Satyajit, Chatterjee Debashis, Dhanamjayulu C, Chinthaginjala Ravikumar, Kotb Hossam, Elrashidi Ali
Department of Electrical Engineering, Jadavpur University, Jadavpur, Kolkata, 700032, India.
School of Electrical Engineering, Vellore Institute of Technology, Vellore, 632014, Tamil Nadu, India.
Heliyon. 2024 Mar 5;10(5):e27312. doi: 10.1016/j.heliyon.2024.e27312. eCollection 2024 Mar 15.
In this work, the operation of photovoltaic system, wind turbine driven doubly fed induction generator along with battery has been observed. Also, a searching space minimization-based artificial bee colony scheme is developed for tracking the maximum power in a doubly fed induction generator-based system. To track maximum power in solar systems, an improved adaptive reference voltage approach has been presented. Several conventional and optimization-based techniques are used by DFIG and photovoltaic systems to get around the non-linearity features in the output parameters. Regarding DFIG, the artificial bee colony method based on searching space minimization can be used to solve the shortcomings of the perturb and observe algorithm. Because of its weather-sensitive nature, it can withstand sudden changes in wind speed. The suggested searching space minimization based artificial bee colony strategy uses a mechanism for determining the range of optimal rotor speed in order to track the maximum power point more quickly. The maximum power point tracking performance of the adaptive reference voltage technique is superior to that of current perturb and observed-based systems. However, a huge processing memory is required in order to track the maximum possible power point. This paper proposes an enhanced maximum power point tracking technique based on adaptive reference voltage that does not require a memory unit. Additionally, despite sudden changes in irradiation conditions, improved adaptive reference voltage can drift-free and reliably monitor the maximum power point. The new adaptive reference voltage technique uses temperature and radiation sensors to identify the region nearest to the maximum power point. This helps the system respond more quickly. The proposed system with searching space minimization based artificial bee colony and improved adaptive reference voltage schemes displays lower inter-harmonic content in grid current compared to perturb and observe scheme. The proposed scheme has been implemented in MATLAB & simulink atmosphere and OPAL-RT displayed satisfactory results.
在这项工作中，观察了光伏系统、风力涡轮机驱动的双馈感应发电机与电池一起的运行情况。此外，还开发了一种基于搜索空间最小化的人工蜂群方案，用于跟踪双馈感应发电机系统中的最大功率。为了跟踪太阳能系统中的最大功率，提出了一种改进的自适应参考电压方法。双馈感应发电机和光伏系统使用了几种传统的和基于优化的技术来克服输出参数中的非线性特性。对于双馈感应发电机，基于搜索空间最小化的人工蜂群方法可用于解决扰动观察算法的缺点。由于其对天气敏感的特性，它能够承受风速的突然变化。所提出的基于搜索空间最小化的人工蜂群策略使用一种机制来确定最佳转子速度范围，以便更快地跟踪最大功率点。自适应参考电压技术的最大功率点跟踪性能优于当前基于扰动观察的系统。然而，为了跟踪最大可能的功率点，需要巨大的处理内存。本文提出了一种基于自适应参考电压的增强型最大功率点跟踪技术，该技术不需要存储单元。此外，尽管辐照条件突然变化，改进的自适应参考电压仍能无漂移且可靠地监测最大功率点。新的自适应参考电压技术使用温度和辐射传感器来识别最接近最大功率点的区域。这有助于系统更快地响应。与扰动观察方案相比，所提出的基于搜索空间最小化的人工蜂群和改进的自适应参考电压方案的系统在电网电流中显示出较低的间谐波含量。所提出的方案已在MATLAB & simulink环境中实现，OPAL-RT显示出令人满意的结果。
