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[IEEE 2020 First International Conference on Power, Control and Computing Technologies (ICPC2T) - Raipur, India (2020.1.3-2020.1.5)] 2020 First International Conference on Power, Control and Computing Technologies (ICPC2T) - Load Frequency Control of Solar Photovoltaic/Wind/Biogas/Biodiesel Generator Based Isolated Microgrid Using Harris Hawks Optimization
摘要： This study proposes an approximate mathematical model of an isolated microgrid consisting of solar photovoltaic, wind turbine, biogas, biodiesel generators, flywheel and battery storage system for load frequency analysis. A proportional-integral(PI) cascaded through tilt-integral-derivative with derivative filter(TIDF) controller named PI-TIDF is suggested for load frequency regulation of the microgrid. To tune controller parameters a newly proposed harris hawks optimization(HHO) is applied utilizing ITAE fitness function. The superiority of the HHO is established by comparison with other techniques such as GOA, CSA and GA. Then using HHO, comparison between PIDF, TIDF and PI-TIDF is done for load frequency control. From frequency response, it is found that HHO tuned PI-TIDF is having better performance compared to TIDF and PIDF. Lastly, the ability of the suggested technique is examined by changing the frequency and magnitude of disturbances. In the changed disturbance case, proposed control scheme is proved to have satisfactory performance without retuning the controller parameters.
关键词： Microgrid,Load frequency control,Renewable energy sources,Harris hawks optimization,PI-TIDF controller
更新于2025-09-23 15:21:01
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Parameters identification of photovoltaic cells and modules using diversification-enriched Harris hawks optimization with chaotic drifts
摘要： In this research, a diversification-enhanced Harris hawks optimization (HHO) is proposed based on the chaotic drifts in the vicinity of the best agent and an opposition-based exploratory strategy to efficiently identify unknown parameters of photovoltaic models modules. This novel technique is employed to estimate the parameters of solar cells models for single diode, double diode, and photovoltaic module. Also, different temperatures and irradiation levels for three practical manufactures datasets are investigated. Competitive and statistical experimental results demonstrate the excellent traits of the proposed HHO-based identifier in estimating the key parameters of photovoltaic models compared to several well-regarded competitors that prominently performs a good performance for solving this case. Also, satisfactory stability level is archived at different temperatures and levels of irradiance due to a better interchange between diversification and intensification drifts of the proposed variant. Therefore, HHO-based identifier provides high-quality solutions for parameter identification cases based on its coherent searching trends. We recommend this approach as a competent and auxiliary technique for parameters estimation of photovoltaic models.
关键词： Swarm-intelligence,Exploration and exploitation,Photovoltaic models,Parameters estimation,Harris Hawks Optimization
更新于2025-09-19 17:13:59
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Boosted mutation-based Harris hawks optimizer for parameters identification of single-diode solar cell models
摘要： In order to realize the performance of the PV model before being installed, it is often indispensable to develop reliable and accurate parameter identification methods for dealing with the PV models. Up to now, several stochastic methods have been proposed to analyze the feature space of this problem. However, some of the stochastic-based methods may present unsatisfactory results due to their insufficient exploration and exploitation inclinations, and the multimodal and nonlinearity existed in PV parameters extraction problems. In this paper, a Boosted Harris Hawk’s Optimization (BHHO) technique is proposed to achieve a more stable model and effectively estimate the parameters of the single diode PV model. The BHHO method combines random exploratory steps of evolution inspired by the flower pollination algorithm (FPA) and a powerful mutation scheme of the differential evolution (DE) with 2-Opt algorithms. The proposed strategies not only help BHHO algorithm to accelerate the convergence rate but also assist it in scanning new regions of the search basins. The results demonstrate that the proposed BHHO is more accurate and reliable compared to the basic version and several well-established methods. The BHHO method was rigorously validated by using real experimental data under seven sunlight and temperature conditions. Furthermore, the statistical criteria indicate that the proposed BHHO method has lower errors among other peers, which is highly useful for real-world applications.
关键词： I–V characteristics,Photovoltaic module,Harris hawks optimization,Parameter extraction,Single-diode model
更新于2025-09-19 17:13:59