基于模糊逻辑的空调可再生能源分配

K. Ravindra, M. Rao, V. Chaitanya
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引用次数: 2

摘要

与世界其他发达国家相比,印度的人均用电量不足。因此,唯一的方法是对现有能源的最佳利用。但是,在夏季,由于空调、空气冷却器等冷却机器的大量利用,电能的生产和消耗之间的差异非常大。在这种情况下,软件行业,如BPO呼叫中心或任何有大型服务器和许多系统的办公室需要有一个24小时工作的空调。这将导致巨大的电力消耗。需要采取和实施保守措施来缩小这一差距。为了抑制这种情况,电力系统规划和管理中出现了需求侧管理的概念。因此,本文将模糊逻辑应用到交流系统中,从而计算出实际的每小时关断时间,从而降低能耗。通过对电力的最优消耗结果,通过减少用电费用和减少用电高峰时电网的过载来增加节约,并计算节约成本和投资回报的回收期。本文利用太阳能来驱动空调。仅考虑光伏发电和带模糊控制器的光伏发电,计算节能成本和投资回收期。结果表明,与仅考虑光伏发电相比,采用模糊控制的光伏发电具有更好的年节约效益和更短的投资回收期。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Renewable energy source allocation of air-conditioner using fuzzy logic
The per capita consumption of power in India is insufficient compared to other developed countries in the world. Hence, the only way is the optimal utilization of available energy sources. But the difference between production and consumption of electrical energy, during summer is very high, due to large utilization of cooling machines like Air Conditioner, Air Coolers. In such case a Software industry, like BPO call center or any office with large server and many systems need to have a 24 hour working Air Conditioner. This leads to huge power consumption. Conservative measures need to be initiated and implement to decrease this gap. To restrain this situation the concept of DSM has begun in power system planning and management. Therefore this paper included Fuzzy logic applied to AC which results to calculate the actual hourly turn off period and reduction in energy consumption. By the optimal consumption of electrical power results increase saving by reducing the electricity bill and reduce the over load on live grid during peak hours and also calculate the cost of savings and payback period for the return of investment. In this paper, solar energy is used to run air conditioner. The cost of saving and payback period is calculated by considering only Photo Voltaic (PV) and Photo Voltaic with fuzzy controller. Results proved that usage of PV with fuzzy controller has better annual saving and lower pay back period compared with only considering PV.
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