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Accommodating renewable generation through an aggregator-focused method for inducing demand side response from electricity consumers

机译:通过以聚集器为中心的方法来适应可再生能源发电,以诱导电力消费者的需求侧响应

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摘要

The ability to influence electricity demand from domestic and small business consumers, so that it can be matched to intermittent renewable generation and distribution network constraints is a key capability of a smart grid. This involves signalling to consumers to indicate when electricity use is desirable or undesirable. However, simply signalling a time-dependent price does not always achieve the required demand response and can result in unstable system behaviour. The authors propose a demand response scheme, in which an aggregator mediates between the consumer and the market and provides a signal to a 'smart home?? control unit that manages the consumer's appliances, using a novel method for reconciliation of the consumer's needs and preferences with the incentives supplied by the signal. This method involves random allocation of demand within timeslots acceptable to the consumer with a bias depending on the signal provided. By simulating a population of domestic consumers using heat pumps and electric vehicles with properties consistent with UK national statistics, the authors show the method allows total demand to be predicted and shaped in a way that can simultaneously match renewable generation and satisfy network constraints, leading to benefits from reduced use of peaking plant and avoided network reinforcement.
机译:影响家庭和小型企业用户的电力需求,使其与间歇性可再生发电和配电网络约束相匹配的能力是智能电网的一项关键能力。这涉及向消费者发信号以指示何时需要或不希望使用电力。但是,仅发出时间相关价格的信号并不总是能达到所需的需求响应,并且可能导致系统性能不稳定。作者提出了一种需求响应方案,其中聚合器在消费者和市场之间进行调解,并向“智能家居”提供信号。使用一种新颖的方法来协调消费者的需求和偏好与信号提供的激励,从而管理消费者的电器的控制单元。该方法涉及在消费者可接受的时隙内随机分配需求,其偏差取决于所提供的信号。通过模拟使用性能与英国国家统计数据一致的热泵和电动汽车的国内消费者群体,作者表明,该方法可以预测和调整总需求,同时满足可再生能源发电和满足网络约束的要求,从而减少了对调峰设备的使用并避免了网络加固,从而受益匪浅。

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