Khalid Mehmood Cheema, Khizer Mehmood, Naveed Ishtiaq Chaudhary, Zeshan Aslam Khan, Muhammad Asif Zahoor Raja, Ahmed Nadeem
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引用次数: 0
摘要
以可再生能源为基础的电力系统每年都在快速增长,但由于谐波、次谐波和间谐波的存在,导致电力系统不稳定和电能质量低下的几率也越来越高。要消除这些谐波的根源非常困难,因为各种电子元件会产生不同程度的谐波。不过,可以通过反信号来准确估计和消除电力信号谐波。因此,本文提出了进化配对启发式来准确估计电力信号谐波的参数。对所提出的启发式进行了多场景测试,以在不同噪声水平下准确估计电力信号谐波的相位和幅值参数。在遇到捕食者概率和交叉概率 Epp <0.8, Cp <0.9 的情况下,对进化交配启发式进行了调整。仿真分析表明,在迭代 I = 1249 时,当噪声级(no)为 104、78、52、26 和 13 dB 时,所提出的启发式获得的最佳适应度分别为 2.8169e-11、9.6969e-09、3.7703e-06、1.3501e-03 和 2.8624e-02。对比分析表明,所提出的启发式性能明显优于其他启发式。
Knacks of Evolutionary Mating Heuristics for Renewable Energy Source–Based Power Systems Signal Harmonics Estimation
Renewable energy sources–based power systems are increasing rapidly every year with higher chances of destabilization and low power quality due to harmonics, subharmonics, and interharmonics. The elimination of the root causes of these harmonics is difficult because harmonics are generated at different levels due to various electronic components. However, the accurate estimation of power signal harmonic can be done and eliminated with a counter signal. Therefore, in this paper, the evolutionary mating heuristic is implied to accurately estimate the parameters of power signal harmonics. The proposed heuristic was tested under multiple scenarios to accurately estimate the phase and amplitude parameters of power signal harmonics at various noise levels. The tuning of the evolutionary mating heuristic is carried out for encountering predator probability and crossover probability Epp <0.8, Cp <0.9. The simulation analysis depicts that the best fitness achieved by the proposed heuristic for noise levels (no) 104, 78, 52, 26, and 13 dB are 2.8169e−11, 9.6969e−09, 3.7703e−06, 1.3501e−03, and 2.8624e−02, respectively, for iteration I = 1249. The comparative analysis shows that the proposed heuristic performance is significantly better than other heuristics.
期刊介绍:
The International Journal of Energy Research (IJER) is dedicated to providing a multidisciplinary, unique platform for researchers, scientists, engineers, technology developers, planners, and policy makers to present their research results and findings in a compelling manner on novel energy systems and applications. IJER covers the entire spectrum of energy from production to conversion, conservation, management, systems, technologies, etc. We encourage papers submissions aiming at better efficiency, cost improvements, more effective resource use, improved design and analysis, reduced environmental impact, and hence leading to better sustainability.
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