用粒子群优化提高水力光伏电站逆变器的效率

Q3 Engineering

EAI Endorsed Transactions on Energy Web Pub Date : 2024-04-16 DOI:10.4108/ew.5807

Huijie Xue, Ning Xiao

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引用次数: 0

摘要

在人口稀少的无电地区，水力光伏发电站是一种可行的供电解决方案。逆变器之间的功率分配策略对逆变器的效率至关重要。传统的分配策略导致逆变器效率低下。为了提高效率，本文分析了逆变器的损耗和效率特性，并将功率分配问题表述为使逆变器总损耗最小的最优控制问题。利用粒子群优化法求解了最优控制问题，并得到了三种运行情况下的效率最优功率分配策略。采用定量分析方法评估了效率最优功率分配策略的效果。分别计算了采用最优策略和传统策略的逆变器的总效率。在效率的基础上，对优化配电策略和传统配电策略进行了定量比较。结果表明，本文获得的策略在提高逆变器总效率方面是有效的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Improvement of Efficiency of Inverters in Hydro Photovoltaic Power Station with Particle Swarm Optimization

In the sparsely populated areas without electricity, the hydro photovoltaic power station is a feasible solution for electricity supply. The strategy of distributing the power among the inverters is critical to the efficiency of them. The conventional distributing strategies result in low efficiency of the inverters. In order to improve the efficiency, this paper analysed the loss and efficiency characteristics of the inverter and expressed the power distributing problem as an optimal control problem minimizing the total loss for the inverters. The optimal control problem was solved with particle swarm optimization and the efficiency optimum power distribution strategies in three operation scenarios were obtained. The quantitative analysis method was adopted to evaluate the effect of the efficiency optimum power distribution strategies. The total efficiency of the inverters with the optimal strategies and the conventional strategies were calculated respectively. The optimal distribution strategies were compared quantitatively with conventional power distribution strategies on the basis of the efficiency. The results demonstrated the validity of the strategies obtained in this paper in improving the total efficiency of the inverters.

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来源期刊

EAI Endorsed Transactions on Energy Web Energy-Energy Engineering and Power Technology

CiteScore

2.60

自引率

0.00%

发文量

审稿时长

10 weeks

期刊介绍： With ICT pervading everyday objects and infrastructures, the ‘Future Internet’ is envisioned to undergo a radical transformation from how we know it today (a mere communication highway) into a vast hybrid network seamlessly integrating knowledge, people and machines into techno-social ecosystems whose behaviour transcends the boundaries of today’s engineering science. As the internet of things continues to grow, billions and trillions of data bytes need to be moved, stored and shared. The energy thus consumed and the climate impact of data centers are increasing dramatically, thereby becoming significant contributors to global warming and climate change. As reported recently, the combined electricity consumption of the world’s data centers has already exceeded that of some of the world''s top ten economies. In the ensuing process of integrating traditional and renewable energy, monitoring and managing various energy sources, and processing and transferring technological information through various channels, IT will undoubtedly play an ever-increasing and central role. Several technologies are currently racing to production to meet this challenge, from ‘smart dust’ to hybrid networks capable of controlling the emergence of dependable and reliable green and energy-efficient ecosystems – which we generically term the ‘energy web’ – calling for major paradigm shifts highly disruptive of the ways the energy sector functions today. The EAI Transactions on Energy Web are positioned at the forefront of these efforts and provide a forum for the most forward-looking, state-of-the-art research bringing together the cross section of IT and Energy communities. The journal will publish original works reporting on prominent advances that challenge traditional thinking.