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Design and development of advanced smart energy management system integrated with IoT framework in smart grid environment

机译:智能电网环境下集成物联网框架的先进智能能源管理系统设计与开发

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The day-to-day increased usage of power appliance by consumers is a growing concern in the energy sector, which creates an imbalance in the ratio of demand and supply. Demand-side energy management is an imperative tool to avoid significant deficiency from the supply end and improve energy efficiency. The trend in energy management lays focus on reducing the overall cost of electricity without limiting the consumption counterpart by instead choosing to reduce the power consumption during peak hours. The above issue seeks for design and development of a flexible and portable system to cover a wide variety of consumers for balancing the overall system. The design of smart energy management system is intended to replace the scenario of a complete power outage in a region with partial load shedding in a controlled manner as per the consumer's preference. Demonstration of experimental work is carried out assuming demand response event and also, considering the maximum demand limit constraint with different cases and changing the order of priority assigned to an appliance. Cost optimization algorithms based on time of usage and user comfort level with sensory information features are embedded within SEMS. Reliable ZigBee communication for home area network is established and also, an IoT environment is developed for data storage and analytics.
机译:消费者日益增加的家用电器使用量,在能源领域日益引起人们的关注,这造成了供需比例的失衡。需求侧能源管理是避免供应端严重不足并提高能源效率的必要工具。能源管理的趋势集中在降低总的电力成本上,而不是通过选择减少高峰时段的功耗来限制用电量。上述问题寻求设计和开发一种灵活的便携式系统,以覆盖各种各样的消费者,以平衡整个系统。智能能源管理系统的设计旨在根据用户的喜好,以可控的方式通过部分减载来代替某个地区完全断电的情况。在假设需求响应事件的情况下进行实验工作的演示,并考虑不同情况下的最大需求限制约束并更改分配给设备的优先级顺序。在SEMS中嵌入了基于使用时间和用户舒适度以及感官信息功能的成本优化算法。建立了用于家庭局域网的可靠ZigBee通信,并且开发了用于数据存储和分析的IoT环境。

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