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Priority-based autonomous load control in dynamic pricing environments

机译:动态定价环境中基于优先的自主负载控制

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摘要

Implementing demand response strategies which incentivize consumers to make adjustment to energy consumption profiles have resulted in profound benefits for the consumers, the utility as well as the environment. Such programs usually involve the use of a Home Energy Management System (HEMS) to achieve load control under certain constraints. In light of recent on-going transition efforts and the drive towards modern grid infrastructure in several sub-Saharan electricity markets such as in Nigeria, it is imperative that a HEMS which is suitably adapted for the Nigerian consumer be developed. In this paper, one such HEMS which utilizes load control algorithms which are based on consumer preference and constraints is proposed. A consumer assigns each load priority values at different times of the day and different load control scenarios were considered. Load control under dynamic pricing environments, as well as constraints involving demand and cost was particularly simulated using MATLAB. Results confirm that significant cost and energy savings can be achieved due to reduction in total energy cost and load of the system.
机译:实施促进消费者对能源消耗型材进行调整的需求响应策略导致消费者,效用以及环境产生深远的好处。此类计划通常涉及使用家庭能源管理系统(HEMS)来实现某些约束下的负载控制。鉴于最近正在进行的过渡努力以及在尼日利亚的几个撒哈拉电力市场中对现代电网基础设施的推动,因此必须开发适合尼日利亚消费者的下摆。在本文中,提出了一种利用基于消费者偏好和约束的负荷控制算法的这种下摆。消费者在当天的不同时间分配每个负载优先级值,并且考虑不同的负载控制方案。在动态定价环境下的负载控制,以及涉及需求和成本的约束,特别使用MATLAB模拟。结果证实,由于减少总能量成本和系统负荷,可以实现显着的成本和节能。

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