Intelligent Automation System for Smart Grid Renewable Energy Generation on Climatic Changes

J. Chen, Kong-Long Lai
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引用次数: 0

Abstract

Nature oriented power generation systems are considered as renewable energy sources. Renewable energy generations are safe to the environment and nature, in terms of minimal radiation and pollution. The space requirement, operational and maintenance cost of renewable energy generation stations are also comparatively lesser than the conventional generating stations. The new form of micro grid energy stations of 230Volt supply attract the small commercial users and the domestic users. The smart grid energy generation is widely employed in the place where the conventional energy supply is not available. Due to its simple construction process, the smart grid renewable energy stations are employed on certain national highways as charging stations for electric vehicles and as a maintenance centre. The motive of the proposed work is to alert the smart grid system with an intelligent algorithm for making an efficient energy generation process on various climatic changes. This reduces the energy wastage in the primary smart grid station and makes the system more reliable on all conditions. The performance of the proposed approach is compared with a traditional smart grid system which yielded a satisfactory outcome.
气候变化下的智能电网可再生能源发电智能自动化系统
面向自然的发电系统被认为是可再生能源。就最小的辐射和污染而言,可再生能源世代对环境和自然是安全的。可再生能源电站的空间需求、运行和维护成本也相对低于传统电站。230v供电的新型微网能源站吸引了小商业用户和国内用户。智能电网发电被广泛应用于常规能源供应不足的地方。由于建设过程简单,智能电网可再生能源站在部分国家高速公路上作为电动汽车充电站和维修中心。提出的工作动机是用智能算法提醒智能电网系统,使各种气候变化的高效发电过程。这减少了一级智能电网站的能源浪费,使系统在各种情况下都更加可靠。将该方法与传统智能电网系统的性能进行了比较,取得了令人满意的效果。
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