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Comparative study between direct load control and fuzzy logic control based demand response

机译:直接负荷控制与基于需求的模糊逻辑控制的比较研究

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摘要

Demand response (DR), as part of Demand side management (DSM), is a method that modifies consumer side energy consumption. By actively controlling the time associated with electricity consumption, both energy and economic efficiencies are increased. There is however, depending on the algorithm employed, potential for consumer comfort levels to be adversely affected. Generally direct load (Boolean logic) control is employed, which solely considers demand reduction and not customer comfort. In comparison, fuzzy logic based programs can consider non-deterministic inputs such as consumer comfort level with ease and simplicity. This paper considers the evolution of DR through a comparison of the classical (direct load method) and modern (fuzzy method) methods, with particular attention on the advantages provided by the latter. The impact on consumer comfort in fuzzy DR implementation is further explored through the effect of temperature deviation. In this regard, the consequences for fuzzy DR are considered in respect to three temperature profiles. Finally, temporal availability and the consequences for DR are considered in the context of a household.
机译:作为需求方管理(DSM)一部分的需求响应(DR)是一种修改消费者方能耗的方法。通过积极控制与电力消耗相关的时间,可以提高能源效率和经济效率。但是,根据所采用的算法,可能会对消费者的舒适度产生不利影响。通常采用直接负载(布尔逻辑)控制,它仅考虑减少需求而不考虑客户的舒适度。相比之下,基于模糊逻辑的程序可以轻松简便地考虑非确定性输入,例如消费者的舒适度。本文通过比较经典(直接加载方法)和现代(模糊方法)方法来考虑灾难恢复的发展,尤其要注意后者的优势。通过温度偏差的影响,进一步探索了在模糊DR实施中对消费者舒适度的影响。在这方面,针对三个温度曲线考虑了模糊DR的后果。最后,在家庭环境中考虑了时间可用性及其对灾难恢复的后果。

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