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Smart grid-demand side response model for optimization air conditioning

机译:用于优化空调的智能电网需求侧响应模型

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摘要

The growing demand of air-conditioning is one of the largest contributors to Australia’s overall electricity consumption. This has started to create peak load supply problems for some electricity utilities particularly in Queensland. This research aimed to develop consumer demand side response model to assist electricity consumers to mitigate peak demand on the electrical network. The model developed demand side response model to allow consumers to manage and control air conditioning for every period, it is called intelligent control. This research investigates optimal response of end-user toward electricity price for several cases in the near future, such as: no spike, spike and probability spike price cases. The results indicate the potential of the scheme to achieve energy savings, reducing electricity bills (costs) to the consumer and targeting best economic performance for electrical generation distribution and transmission.
机译:空调需求的增长是澳大利亚总体用电量的最大贡献之一。对于某些电力公司,特别是在昆士兰州,这已经开始造成峰值负荷供应问题。这项研究旨在开发消费者需求侧响应模型,以帮助电力消费者减轻电网的峰值需求。该模型开发了需求侧响应模型,以使消费者能够在每个时期管理和控制空调,这被称为智能控制。这项研究调查了在不久的将来几种情况下,最终用户对电价的最佳响应,例如:无峰值,峰值和概率峰值。结果表明该方案具有实现节能,降低消费者电费(成本)以及针对发电和输电的最佳经济绩效的潜力。

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