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Capacity allocation of hybrid solar-wind energy system based on discrete probabilistic method
摘要： Complementary renewable energies like wind and solar power may be more su?cient to satisfy reliability requirements. This paper proposes a quantitative capacity allocation method of a hybrid wind and solar energy system. First, discrete probability distributions are established to model the random factors including the volatility of power outputs and the failure of components. Then a multiobjective optimization model is formulated with objectives of minimization of the total investment, the nodal voltages violating limits probability, and power supply inadequacy probability. For the purpose of fast probability computing with a satisfactory precision degree, an innovative probabilistic load ?ow algorithm is introduced, which deals with means and increments of random variables separately and uses cumulants as well as Gram{Charlier series to obtain probabilistic distributions of state variables. A modi?ed parallel elitist nondominated sorting genetic algorithm II is used to search the Pareto optimal con?guration solutions.
关键词： probabilistic load ?ow,photovoltaic,discrete probability distribution,Wind turbine,capacity allocation,NSGA-II,multiobjective optimization
更新于2025-09-09 09:28:46
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Analysis of circular polarization antenna design trade‐offs using low‐cost EM‐driven multiobjective optimization
摘要： Circular polarization (CP) antennas are vital components of modern communication systems. Their design involves handling several requirements such as low reflection and axial ratio (AR) within the frequency range of interest. Small size is an important criterion for antenna mobility which is normally achieved as a by-product of performance-oriented modifications of the structure topology. In this work, multiobjective optimization is used in order to identify and analyze design trade-offs for miniaturized CP antenna including the antenna capability for maintaining small size while retaining acceptable levels of other performance figures. We use a population-based metaheuristic algorithm to obtain a set of designs which represent the best attainable compromise between the imposed requirements. To maintain a low optimization cost, the algorithm is executed on a cheap approximation model and the results are further corrected to bring them to the EM model accuracy level. Here, the analysis is carried out for a planar CP antenna. Achievable size reduction of the considered structure—while maintaining acceptable performance—is around 11%. Antenna performance in terms of in-band reflection and AR varies from ?14 to ?10 dB and from 1.3 to 3 dB, respectively. The numerical results are validated by measurements of fabricated antenna prototypes.
关键词： design trade-offs,design optimization,circular polarization antennas,compact antennas,EM-driven design,multiobjective optimization,axial ratio
更新于2025-09-04 15:30:14