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Defining expected cost for the air conditioning to avoid a price spike of electricity market under DSR model

机译:定义空调的预期成本以避免DSR模式下的电力市场价格飙升

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This work presents a demand side response model (DSR) which assists small electricity consumers, through an aggregator, exposed to the market price to proactively mitigate price and peak impact on the electrical system. The proposed model allows consumers to manage air-conditioning when as a function of possible price spikes. The main contribution of this research is to demonstrate how consumers can minimise the total expected cost by optimising air-conditioning to account for occurrences of a price spike in the electricity market. This model investigates how pre-cooling method can be used to minimise energy costs when there is a substantial risk of an electricity price spike. The model was tested with Queensland electricity market data from the Australian Energy Market Operator and Brisbane temperature data from the Bureau of Statistics during hot days on weekdays in the period 2011 to 2012.
机译:这项工作提出了一种需求侧响应模型(DSR),该模型可通过聚合器帮助小型电力消费者暴露市场价格,从而主动降低价格和对电气系统的峰值影响。所提议的模型允许消费者根据可能的价格飙升来管理空调。这项研究的主要贡献在于证明消费者如何通过优化空调来解决电力市场中出现价格飙升的情况,从而将总预期成本降至最低。该模型研究了在存在电价飙升的巨大风险时如何使用预冷却方法来最大程度地降低能源成本。在2011年至2012年的工作日中,使用澳大利亚能源市场运营商的昆士兰州电力市场数据和统计局的布里斯班温度数据对模型进行了测试。

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