PSO Optimized PID Controller Design for Performance Enhancement of Hybrid Renewable Energy System

Ritika Arora, V. K. Tayal, H. P. Singh, Sukhbir Singh
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引用次数: 9

Abstract

The increase in power demand has given rise to invest in renewable energy sources which are much better than conventional sources of power. But the renewable power sources such as wind, PV are variable in nature which affects the power quality of grid. Hence, the power system is required to make balance between power demand and generation. In order to improve the stability the PID controllers are used. But these are fixed gain controllers. So, to overcome this issue, AI techniques must be used. This paper presents the hybrid renewable energy system with wind, PV and Fuel cell connected to the grid. The PID controller is employed with the system whose parameters are tuned with Particle Swarm Optimization technique. This optimization improves the stability of the system. The modeling and simulations are done in MATLAB and results are observed for better performance under variable loading conditions.
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混合可再生能源系统性能提升的PSO优化PID控制器设计
电力需求的增加导致了对可再生能源的投资,可再生能源比传统能源要好得多。但风能、光伏等可再生能源的特性是可变的,会影响电网的电能质量。因此,电力系统需要在电力需求和发电量之间取得平衡。为了提高系统的稳定性,采用了PID控制器。但这些都是固定增益控制器。所以,为了解决这个问题,我们必须使用AI技术。提出了一种由风能、光伏和燃料电池并网的混合可再生能源系统。PID控制器采用粒子群优化技术对系统参数进行整定。这种优化提高了系统的稳定性。在MATLAB中进行了建模和仿真,结果表明,在变载荷条件下,该系统具有更好的性能。
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