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Autonomous Appliance Scheduling for Household Energy Management

机译：用于家庭能源管理的自主设备调度

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The advancement of renewable energy technologies has seen the emergence of customer owned grid tied wind and solar microgrids. These microgrids offer an opportunity to energy users to lower their energy costs as well as enabling the power suppliers to regulate the utility grid. However, the integration of the renewable energy based sources into the smart grid increases the complexity of the main grid. The success of this scheme will be heavily reliant on accurate real-time information exchange between the microgrid, the main grid, and the consumers. The communication between these agents will be critical in implementation of intelligent decisions by the smart grid. The microgrids will be required to relay energy forecasts information to the utility grid. Similarly, customers will be expected to submit energy demand schedules, to actively monitor energy price signals, to participate in energy bids, and to respond to energy management signals in real time. This kind of grid-user interaction will be overwhelming and could result in consumer apathy. There is therefore a need to develop smart systems that will autonomously execute all these tasks without the prompting of the customers. This paper presents one such approach. In this study, we proposed a demand side energy management for a grid connected household with a locally generated photovoltaic energy. To ensure efficient household energy management, smart scheduling of electrical appliances has also been presented.
机译：可再生能源技术的发展已经看到了客户拥有的并网的风能和太阳能微电网的出现。这些微电网为能源用户提供了降低能源成本的机会，并使电力供应商能够调节公用电网。但是，将基于可再生能源的能源集成到智能电网中会增加主电网的复杂性。该方案的成功将在很大程度上取决于微电网，主电网和用户之间准确的实时信息交换。这些代理之间的通信对于智能电网执行智能决策至关重要。将需要微电网将能源预测信息中继到公用电网。同样，将要求客户提交能源需求计划表，积极监控能源价格信号，参与能源竞标以及实时响应能源管理信号。这种网格-用户交互将是压倒性的，并可能导致消费者的冷漠。因此，需要开发一种智能系统，该系统将自动执行所有这些任务而无需客户的提示。本文提出了一种这样的方法。在这项研究中，我们提出了一个用本地产生的光伏能源连接家庭的电网的需求侧能源管理。为了确保有效的家庭能源管理，还提出了电器的智能调度。

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