引用本文: | 向 征,李自强.基于并网太阳能光伏/电池系统的无线网络低功耗供电策略[J].电力系统保护与控制,2022,50(2):152-162.[点击复制] |
XIANG Zheng,LI Ziqiang.Low power strategy of a wireless network based on a grid-connected solar photovoltaic/cell system[J].Power System Protection and Control,2022,50(2):152-162[点击复制] |
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摘要: |
为了实现能耗精确估计,充分考虑用户位置信息应用,提出了一种基于并网太阳能光伏/电池系统的无线网络供电低功耗策略。首先为了保证供电服务的连续性,建立了一种并网太阳能光伏/电池系统。然后考虑到太阳强度和交通量的间歇性行为,分析了基站发射功率、系统带宽对系统性能指标的影响,评估无线网络的吞吐量、能量效率和频谱效率性能。进一步提出了一种启发式的负载均衡算法和资源块分配技术,通过对太阳能能源的优化利用,最大限度地提高了系统的效率和能效。仿真结果表明,所提并网太阳能光伏/电池系统可以显著降低供电能耗,发电效率高达54.8%,并通过有效的可再生能源收集模型确保显著的能源可持续性。 |
关键词: 负载均衡 无线网络 太阳能光伏 低功耗 |
DOI:DOI: 10.19783/j.cnki.pspc.210469 |
投稿时间:2021-04-22修订日期:2021-05-26 |
基金项目:河北省重点研发计划项目资助(F2015502047) |
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Low power strategy of a wireless network based on a grid-connected solar photovoltaic/cell system |
XIANG Zheng,LI Ziqiang |
(1. Chongqing Branch, China Datang Corporation Ltd., Chongqing 400020, China;
2. XJ Electric Co., Ltd., Xuchang 461000, China) |
Abstract: |
In order to achieve accurate estimation, and fully consider the user location information, a low power strategy of a wireless network based on a grid-connected solar photovoltaic/cell system is proposed. First, in order to ensure the continuity of power supply, a grid-connected solar photovoltaic/cell system is established. Then, considering the intermittent behavior of solar intensity and traffic volume, the influence of base station transmitted power and system bandwidth on system performance is analyzed, and the throughput, energy efficiency and spectrum efficiency of the wireless network are evaluated. A heuristic load balancing algorithm and resource block allocation technology are proposed to maximize the efficiency and energy efficiency of the system by optimizing the use of green energy. Numerical results show that the proposed grid-connected solar photovoltaic/cell system can significantly reduce power grid energy consumption, the power generation efficiency is up to 54.8%, and significant energy sustainability is ensured through an effective renewable energy collection model.
This work is supported by the Key Research and Development Program of Hebei Province (No. F2015502047). |
Key words: load balancing wireless network solar photovoltaic low power consumption |