在DSR模型下,确定空调的预期成本,以避免电力市场价格飙升

M. Marwan, G. Ledwich, A. Ghosh
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引用次数: 0

摘要

这项工作提出了一个需求侧响应模型(DSR),该模型通过一个聚合器,帮助小电力消费者暴露于市场价格,主动减轻价格和峰值对电力系统的影响。拟议的模型允许消费者在价格可能飙升的情况下管理空调。这项研究的主要贡献是展示了消费者如何通过优化空调来考虑电力市场价格飙升的情况,从而最大限度地降低总预期成本。该模型研究了在电价飙升的重大风险下,如何使用预冷方法将能源成本降至最低。该模型使用来自澳大利亚能源市场运营商的昆士兰电力市场数据和来自布里斯班统计局的2011年至2012年工作日高温天气的温度数据进行了测试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Defining expected cost for the air conditioning to avoid a price spike of electricity market under DSR model
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.
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